Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018) PDF

Lecture Notes in Mechanical Engineering

U.Chandrasekhar Lung-JiehYang S.Gowthaman Editors

Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018) Volume 2

Lecture Notes in Mechanical Engineering

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U. Chandrasekhar Lung-Jieh Yang S. Gowthaman •

Editors

Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018) Volume 2

123

Editors U. Chandrasekhar Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi, Chennai, India

S. Gowthaman Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi, Chennai, India

Lung-Jieh Yang Department of Mechanical and Electromechanical Engineering Tamkang University Tamsui District, New Taipei City, Taiwan

ISSN 2195-4356 ISSN 2195-4364 (electronic) Lecture Notes in Mechanical Engineering ISBN 978-981-13-2717-9 ISBN 978-981-13-2718-6 (eBook) https://doi.org/10.1007/978-981-13-2718-6 Library of Congress Control Number: 2018955447 © Springer Nature Singapore Pte Ltd. 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, speciﬁcally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microﬁlms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a speciﬁc statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional afﬁliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Preface

Designs and developments are the aspirations of tomorrow’s technologies for aero and auto industries to be alive in the competitive world, where cost-effective solutions, improvements in a greenhouse environment, longevity/life cycle, eco-friendly materials and manufacturing, certiﬁcation and government legislation demands are becoming stringent. Whether aerospace or automotive, the pulse and echo are similar in meeting the expected performances in the air or on the road, respectively. Both the industries have come to symbolise the essence of a modern industrial society. Perhaps more than any other single icon, it is associated with a desire for independence and freedom of movement—an expression of economic status. For the next decades, they are marching towards new concept designs, analysis and manufacturing technologies, where more swing is for improved performance through speciﬁc and/or multifunctional linguistic design aspect to downsize the system; improve the weight-to-strength ratio, fuel efﬁciency; make better the operational capability at room and elevated temperatures; reduce wear and tear, NVH aspects while balancing the challenges of beyond Euro IV emission norms, greenhouse effects and recyclable materials. The conference covered the areas such as additive manufacturing, aerodynamics, CAD, CFD, design engineering, environment, ﬁnite element method, fuels and energy source, integration of analysis and expected results, life cycle engineering, manufacturing, materials, MDO techniques, modelling of materials, optimisation technologies, propulsion systems, quality, reliability and durability, sensors and health monitoring, simulations, 3D scanning and re-engineering, and 3D printing. The conference aimed at addressing these issues of tomorrow where academia–industry–R&D partnerships and collaborative programs can be shared and implemented. The organisers of the 3rd International Conference on Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018) wish to provide

Preface

a platform for deliberations on design engineering, numerical methods, analysis/ optimisation techniques, life cycle engineering, system engineering, conﬁguration management, advanced materials, novel manufacturing/prototyping, vibration and health monitoring, propulsion system and quality and reliability in the aerospace and automotive ﬁelds. The response to the conference was overwhelming on both national and international fronts. Chennai, India

U. Chandrasekhar Lung-Jieh Yang S. Gowthaman

Contents

Modeling and Optimization of SIS Process Using Evolutionary Computational Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. Rajamani, E. Balasubramanian, P. Arunkumar, M. Silambarasan, G. Bhuvaneshwaran and R. Manivannan

Computational Characterization of a CD Nozzle with Variable Geometry Translating Throat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Apoorva and Suresh Chandra Khandai

Synthesis and Characterization of Al2O3–Cr2O3-Based Ceramic Composites for Artiﬁcial Hip Joint . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Chandramani Goswami, Amar Patnaik, I. K. Bhat and Tej Singh

Experimental Investigation on Tensile and Fracture Behaviour of Glass Fibre-Reinforced Nanoclay/Mg–Al LDH-Based Fibre Metal Laminates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . K. Logesh, V. K. Bupesh Raja, M. Venkatasudhahar and Hitesh Kumar Rana

Experimental Study on Micro-deburring of Micro-grooves by Micro-EDM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Elumalai Boominathan and S. Gowri

Inﬂuences of Tool Pin Proﬁles on Mechanical Properties of Friction Stir Welding Process of AA8011 Aluminum Alloy . . . . . . . . . . . . . . . . . K. Giridharan, V. Jaiganesh and S. Padmanabhan

Numerical Investigation of the Behaviour of Thin-Walled Metal Tubes Under Axial Impact . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. Prince Jeya Lal and S. Ramesh

Improving Process Performance with World-Class Manufacturing Technique: A Case in Tea Packaging Industry . . . . . . . . . . . . . . . . . . . Vishal Naranje, Anand Naranje and Sachin Salunkhe

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Tensile Testing and Evaluation of 3D-Printed PLA Specimens as per ASTM D638 Type IV Standard . . . . . . . . . . . . . . . . . . . . . . . . . . S. Anand Kumar and Yeole Shivraj Narayan

Design Optimization and Testing of Structure of a Single Door Refrigerator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nishchay Anand and S. Sivarajan

Use of Low-Fidelity Codes for Teaching Aircraft Design . . . . . . . . . . . . 107 H. K. Narahari and Deepak Madhyastha Drag Reduction for Flow Past a Square Cylinder Using Rotating Control Cylinders—A Numerical Simulation . . . . . . . . . . . . . . . . . . . . . 113 Ghosh Subhankar, S. Senthilkumar and S. Karthikeyan Study the Effect of Mill Scale Filler on Mechanical Properties of Bidirectional Carbon Fibre-Reinforced Polymer Composite . . . . . . . . 121 Aman Soni and Amar Patnaik Study on Carbon, Glass, and Flax Hybrid Composites Using Experimental and Computational Techniques . . . . . . . . . . . . . . . . . . . . 131 M. Dinesh, B. Rubanrajasekar, R. Asokan, S. Vignesh and S. Rajesh Design Evaluation of a Mono-tube Magnetorheological (MR) Damper Valve . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 Solomon Seid, Sujatha Chandramohan and S. Sujatha Characterization of Soot Microstructure for Diesel and Biodiesel Using Diesel Particulate Filter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 Indranil Sarkar, Ritwik Raman, K. Jayanth, Aatmesh Jain and K. C. Vora Performance of Diesel Particulate Filter Using Metal Foam Combined with Ceramic Honeycomb Substrate . . . . . . . . . . . . . . . . . . . 163 Hardik Sarasavadiya, Manthan J. Shah, Indranil Sarkar and Aatmesh Jain Dry Machining of Nimonic 263 Alloy Using PVD and CVD Inserts . . . . 179 K. Vetri Velmurugan, K. Venkatesan, S. Devendiran and Arun Tom Mathew Investigation of Parameters for Machining a Difﬁcult-to-Machine Superalloy: Inconel X-750 and Waspaloy . . . . . . . . . . . . . . . . . . . . . . . . 199 K. Vetri Velmurugan, K. Venkatesan, S. Devendiran and Arun Tom Mathew Aerodynamic Characteristics of Semi-spiroid Winglets at Subsonic Speed . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217 Karthick Dhileep, S. Arunvinthan and S. Nadaraja Pillai

Contents

Vibrational Analysis of Self-aligning Rolling Contact Bearing Defects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225 T. Narendiranath Babu, Abhinav Giri Goswami, Animesh Srivastava and Rishabh Kumar Tiwari Fabrication and Characterization of Cu2−XZn1.3SnS4 Kesterite Thin Films Synthesized by Solvent Based Process Method for Photovoltaic Solar Energy Applications . . . . . . . . . . . . . . . . . . . . . . 241 B. Khadambari, S. S. Bhattacharya and M. S. Ramachandra Rao Formula SAE Power Increment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249 Jasjeev Singh, M. V. N. Sankaram, Vishal Naranje and Sachin Salunkhe Temperature Behavior-Based Monitoring of Worm Gears Under Different Working Conditions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 T. Narendiranath Babu, Dhavalkumar Patel, Devansh Tharnari and Akash Bhatt Production and Comparison of Fuel Properties for Various Biodiesels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267 D. Ravichandra, Ravi Kumar Puli and V. P. Chandramohan Experimental Determination of Fluid Flow Parameters to Study Permeation Process Inside a Porous Channel . . . . . . . . . . . . . . . . . . . . . 277 Hussain Najmi, Eddy El-Tabach, Nicolas Gascoin, Khaled Chetehouna and François Falempin Diesel Engine Cylinder Head Port Design for Armored Fighting Vehicles: Compromise and Design Features . . . . . . . . . . . . . . . . . . . . . . 285 Hari Viswanath, A. Kumarasamy and P. Sivakumar Design Optimization of Advanced Multi-rotor Unmanned Aircraft System Using FSI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299 R. Vijayanandh, M. Senthil Kumar, K. Naveenkumar, G. Raj Kumar and R. Naveen Kumar Studies on Carbon Materials-Based Antenna for Space Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311 Prasanna Ram, Manoj Aravind Sankar and N. G. Renganathan Progress and Issues Related to Designing and 3D Printing of Endodontic Guide . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 Ankit Nayak, Prashant K. Jain and P. K. Kankar Physical and Tribological Behaviour of Dual Particles Reinforced Metal Matrix Composites . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339 V. Mohanavel, K. Rajan, M. Ravichandran, S. Suresh Kumar, M. Balamurugan and C. Jayasekar

Contents

Parametric Optimization of Friction Welding Parameter of Ferritic Stainless Steel and Copper Material Using Taguchi Approach . . . . . . . 349 C. Shanjeevi, S. Velu, J. Thamilarasan and S. Satish Kumar Experimental Investigation on the Thermal Performance of the Light-Emitting Diode (LED) Heat Sinks . . . . . . . . . . . . . . . . . . . 357 A. S. Praveen, Kaipa Sai Chaithanya, R. Jithin and K. Naveen Kumar Numerical Modelling of Spiral Cyclone Flow Field and the Impact Analysis of a Vortex Finder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363 R. Vignesh, D. Balaji, M. Surya, A. Vishnu Pragash and R. Vishnu Lattice Boltzmann Simulation of Double-Sided Deep Cavities at Low Reynolds Number . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 Balashankar Kesana, Vikas V. Shetty and D. Arumuga Perumal A Study of Thermo-structural Behavior of Annular Fin . . . . . . . . . . . . 381 Rahul Sharma, Lakshman Sondhi, Vivek Kumar Gaba and Shubhankar Bhowmick A New Design to Achieve Variable Compression Ratio in a Spark Ignition Engine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389 Aditya Roy, Chetan Mishra, Sarthak Jain and Naveen Solanki Experimental Investigation on Energy Saving due to Bubble Disturbance in Boiling Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 S. Santhosh Kumar and S. Balaguru Highway Trafﬁc Scenario-Based Lane Change Strategy for Autonomous Vehicle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 Gourish Hiremath, Kiran Wani and Sanjay Patil Friction and Wear Analysis of PTFE Composite Materials . . . . . . . . . . 415 Sachin Salunkhe and Pavan Chandankar Flow Analysis of Catalytic Converter—LCV BS III Applications for Optimising Pressure Drop . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 427 C. P. Om Ariara Guhan and G. Arthanareeswaran Step Toward Computer-Aided Integration of Sheet Metal Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437 Ravi Kumar Gupta, H. M. A. Hussein, S. S. Salunkhe, Mukur Gupta and S. Kumar Thermodynamic Analysis of Diesel Engine Fuelled with Aqueous Nanoﬂuid Blends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445 S. P. Venkatesan and P. N. Kadiresh

Contents

Investigation of Twin Cylinder Direct Injection CI Engine Characteristics Using Calophyllum Inophyllum Biodiesel Blends . . . . . . 457 Pathikrit Bhowmick, Dhruv Malhotra, Pranjal Agarwal, Aatmesh Jain and K. C. Vora A Novel Beetle-Inspired Fuel Injection System for Improved Combustion Efﬁciency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467 R. Kuppuraj and S. A. Pasupathy Effect of Friction Stir Processing on the Dry Sliding Wear Behaviour of AA6082-5TiB2 Composite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477 Sreehari Peddavarapu and S. Raghuraman Optimization of Sliding Wear Performance of Ti Metal Powder Reinforced Al 7075 Alloy Composite Using Taguchi Method . . . . . . . . . 485 A. Kumar, A. Patnaik and I. K. Bhat A Comparative Study on Mechanical and Dry Sliding Wear Behaviour of Al 7075-T6 Welded Joints Fabricated by FSW, TIG and MIG . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499 Lalta Prasad, Lalit Mohan, Himanshu Prasad Raturi and Virendra Kumar Overview of Cryogens Production and Automation in Cryo-distribution at TIFR, Mumbai . . . . . . . . . . . . . . . . . . . . . . . . . 507 K. V. Srinivasan, A. Manimaran, K. A. Jaison and Vijay A. Arolkar Analysis of Recast Layer, Wear Rate and Taper Angle in Micro-electrical Discharge Machining Over Ti–6Al–4V . . . . . . . . . . . 517 S. Rajamanickam and J. Prasanna Evaluation of Critical Speed for Aluminum–Boron Carbide Metal Matrix Composite Shaft . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 527 Arun C. Dixit, B. K. Sridhara and M. V. Achutha Smart System for Feature Recognition of Sheet Metal Parts: A Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 535 Sachin Salunkhe, Soham Teraiya, H. M. A. Hussein and Shailendra Kumar Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 551

About the Editors

Dr. U. Chandrasekhar is Pro Vice Chancellor of Vel Tech Dr. RR & Dr. SR Technical University, Chennai. Previously, he was Director of the Engineering Staff College of India (ESCI), an autonomous organ of the Institution of Engineers (India). Prior to that, he was Additional Director at a Ministry of Defence R&D Organisation called Gas Turbine Research Establishment. For the past 26 years, he has been involved in the design, analysis, prototyping, rapid manufacturing and testing of aero gas turbine engines. He has set up the ﬁrst-ever rapid prototyping laboratory in the country. He is currently leading a critical technology development project on high-temperature thin ﬁlm sensors in collaboration with NRC, Canada, and serves on the Council of the Institution of Engineers and National Design and Research Forum. He was also chosen to represent India at the Young Leaders Convention of World Federation of Engineering Organisations at Geneva. He holds a B.E. in mechanical engineering from NIT Surathkal; an M.Tech. in design stream from IIT Madras; and a Ph.D. from VTU. For his research efforts, he received a commendation medal from the Scientiﬁc Advisor to the Defence Minister, and in recognition of his academic excellence at IIT Madras, he received an award from former President of India, Dr. A. P. J. Abdul Kalam. Dr. Lung-Jieh Yang received his M.S. from the Tamkang University, Taiwan, in 1991 and his Ph.D. from the Institute of Applied Mechanics, National Taiwan University, Taiwan, in 1997. He was Visiting Associate of electrical engineering at Caltech, USA, from 2000 to 2001, and is currently Professor in the Department of Mechanical and Electromechanical Engineering and Director of the Instrument and Experiment Center, Tamkang University, Taiwan. He is also Member of IEEE and AIAA. His current research interests include flapping micro aerial vehicles (MAVs) and gelatin MEMS technology. His research areas are polymer composites, nanomaterials, high-temperature foams, experimental mechanics and sensors for health monitoring and energy harvesting.

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About the Editors

Dr. S. Gowthaman is Director of R&D and Associate Professor in the Department of Mechanical Engineering, Vel Tech Dr. RR & Dr. SR University, Chennai. He received his B.E. in mechanical engineering from Bharathidasan University (Shanmugha College of Engineering) and his M.S. and Ph.D. in mechanical engineering from North Carolina A&T State University, USA. His research activities include polymer-based composite materials, experimental mechanics, nanoengineering and advanced materials for various applications. Before joining Vel Tech University in 2013, he worked at Nanyang Technological University (NTU), Singapore, and at the Center for Aviation Safety (CAS) at NC A&T State University, USA. He has worked in research projects sponsored by various agencies like NASA, the United States Army, ONR and Wright Materials Research (all USA), DSTA (Singapore), DST-SERB (India), DRDO-ERIPR (India) and DST-TDT (India). He has collaborated and is collaborating with a number of national and international institutes and research laboratories. He has published more than 30 research papers in international journals and conference proceedings. He is a member of several committees and societies including AIAA Materials Technical Committee, USA, in 2011, serves as a reviewer for a number of journals including Composites Part A, Journal of Reinforced Plastics and Composites, AIAA Journal and IE Springer Journal, and is a member of the editorial board for international conferences like I-DAD and ICAM-3D. He has received a number of awards from NC A&T State University, USA, and Bharathidasan University for his academic and research achievements, an NTU (Singapore) Post-Doctorate Fellowship and a DST-SERB (India) Early Career Research Project Award.

Modeling and Optimization of SIS Process Using Evolutionary Computational Approach D. Rajamani, E. Balasubramanian, P. Arunkumar, M. Silambarasan, G. Bhuvaneshwaran and R. Manivannan

Abstract Due to the existence of diverse selective inhibition sintering (SIS) processing variables and intricate stochastic nature, arriving optimal processing conditions to enhance the product quality is extremely difﬁcult. This paper concentrates on the development of SIS system model to predict the optimal SIS process variables to improve the dimensional accuracy. Response surface methodology (RSM) is employed to design the experiments and develop the mathematical models by considering various SIS process parameters. The developed regression models are further optimized by an evolutionary approach of genetic algorithm (GA) scheme. The proposed approach can be effectively utilized to predict the dimensional accuracy under various process conditions.

Keywords Selective inhibition sintering Response surface methodology Simulated annealing Dimensional accuracy

1 Introduction Additive manufacturing (AM) is the process of joining the desired materials in layer by layer to manufacture the parts directly from computed-aided design three-dimensional (3D) models [1]. AM has tremendous potential in aerospace, automobile, medical, and toy industrial applications to swiftly realize the parts [2, 3]. Unlike subtractive manufacturing, AM does not necessitate any molds, ﬁxtures, and other work holding devices which lessen the cost of production and it is an effective process to produce complicated proﬁle or shape of the part that makes the system user-friendly [4]. In addition, AM parts are achieved superior D. Rajamani (&) E. Balasubramanian P. Arunkumar M. Silambarasan G. Bhuvaneshwaran R. Manivannan Department of Mechanical Engineering, Centre for Autonomous System Research (CASR), Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_1

D. Rajamani et al.

dimensional accuracy and experienced less residual stress in comparison to conventional molding and casting [5]. There are more than twenty AM techniques are available to produce functional parts for diverse applications and adhesion of layers for each process is varied [6]. Being capable of processing a wide range of materials including polymers and metals and non-usage of support structures, selective laser sintering (SLS) is presently regarded as the most versatile AM process [7]. In the SLS process, CO2 laser beam is selectively moved as per the desired proﬁle of the part [8]. SLS is extensively used in high-end industries to realize the parts with high strength [9]. However, elimination of laser reduces machine cost and built time, but it necessitates an alternative method for selectively sintering the particles [10]. The selective inhibition sintering (SIS) [11] is considered to be cost-effective AM process, wherein costly laser system is replaced with low-cost ceramic or infrared heaters. In SIS, part proﬁles are determined through spraying inhibitors, and sintering of powder particles is achieved in the desired surface of powder bed [12]. However, in the case of SLS, laser beam is focused based on the required pattern using prior path planning. The selective region of powder surface is printed with inhibitor that will absorb heat energy; therefore, the powder below the inhibitor will not become sintered and the remaining area will be sintered. Finally, the inhibitor and un-sintered powder are washed and cleaned at the post-processing stage. As in the case of SIS system, there are more than twenty-ﬁve parameters that can affect the part quality, and in this study, few process parameters namely thickness of polymer powder layer, heat supply per unit area, delivery of inhibition, and movement of heater along the part bed are considered for its importance. However, arriving optimal solutions of these parameters necessitates a suitable optimization algorithm. Author’s earlier work dealt on the investigation of mechanical strength, wear, and polymer characteristics [13–15] using other optimization algorithms. Therefore, in this study, genetic algorithm (GA) is accounted to determine optimal solution for evaluating the shrinkage of HDPE parts.

2 Methodologies 2.1

Response Surface Methodology

The experimental strategy is carried out with an aid of Box–Behnken design (BBD) [16]. It is used to perform non-sequential experiments and all design points are falling in the safe ranges of parameters under consideration [9]. A total number of 29 test specimens are fabricated according to design matrix, as presented in Table 1.

Modeling and Optimization of SIS Process …

Table 1 Design matrix and measured response values Run

Layer thickness (mm)

Heater energy (J/mm2)

Heater feed rate (mm/s)

Printer feed rate (mm/min)

Avg. shrinkage (S) (mm)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

1 0 −1 0 1 −1 0 0 0 0 0 0 1 0 0 1 0 −1 0 0 0 0 0 −1 −1 −1 1 0 1

0 1 0 0 0 0 0 0 1 0 1 −1 0 −1 −1 −1 0 0 0 0 0 0 1 0 1 −1 1 −1 0

1 −1 1 0 0 0 1 -1 1 0 0 0 −1 0 1 0 0 −1 1 0 0 −1 0 0 0 0 0 −1 0

0 0 0 0 −1 1 1 1 0 0 −1 −1 0 1 0 0 0 0 −1 0 0 −1 1 −1 0 0 0 0 1

5.2377 5.4883 7.6974 4.8634 5.674 4.0502 7.3224 4.1842 5.4127 4.9960 4.7922 4.6457 7.6864 4.5373 6.4098 4.9551 4.5302 3.8804 5.1980 4.4074 4.3545 7.1749 3.9028 5.2213 3.7661 4.9519 5.4256 5.4756 4.9536

2.2

Genetic Algorithm

Genetic algorithm (GA) is a population-based meta-heuristic optimization technique and has been used to determine the optimal region when the problem becomes complex and generally does not depend on the initial solution [17]. GA can solve linear and nonlinear problems through investigating all regions of the state space and developing promising areas with a set of possible solutions or chromosomes that are randomly generated from the described set of probabilistic rules to obtain

D. Rajamani et al.

Fig. 1 Flowchart of genetic algorithm

minimum dimensional shrinkage. The entire set of these chromosomes includes a population. The chromosomes expand during several iterations or generations. The crossover and mutation formulations are employed for splitting and flipping the chromosomes. After that, the ﬁtness function is used to evaluate the chromosomes. This process is repeated until the best ﬁtness attained by one chromosome and thus taken as the best solution to the problem. Hence, an optimal solution is identiﬁed using genetic algorithm and Fig. 1 illustrates the flowchart of GA.

3 Experimental Details The SIS system consists of ﬁve independent movements such as translation along X, Y, Z, deposition of inhibitor and travel of heater. The XY planar motion is achieved through a timing belt and pinion setup actuated by stepper motor. The up-and-down motion of feed and build tanks along Z direction is actuated through a stepper motor in such a way that the desired layer thickness is maintained for sintering of polymer powders. The desired three-dimensional (3D) CATIA model is exported as a

Modeling and Optimization of SIS Process …

stereolithographic (.STL) ﬁle. The STL ﬁle is imported into Slic3r software which slices the STL ﬁle with speciﬁc layer thickness and then it is transformed into G-codes. These G-codes, then, are imported into Pronterface software to create machine tool paths of SIS machine for smearing the inhibitor at the part boundary. As per the machine path generation, HDPE powder is deposited with a desired layer thickness from the storage chamber using a roller mechanism. Inhibition is carried out with reference to required part proﬁle which acts as support material for the part. Sintering phenomenon is achieved through controlling the temperature of ceramic heater with appropriate feed rate. The layer-by-layer deposition of powder, inhibition, and sintering is performed until the required part is fabricated. Post-processing of cleaning of inhibitor from the built part completes the SIS process. High-density polyethylene (HDPE) with an average grain size ranging of 35– 80 µm supplied by JP Polymers, India, is utilized for part fabrication. During the course of experiments, 100% virgin powder is used to avoid irregularities in sintered parts. The test specimens are fabricated for investigation with a dimension of 135 35 8 mm. The shrinkage is measured using Checkmaster (Model: 216-242, Helmel Inc., USA) benchtop coordinate measuring machine equipped with Geomet® 7.00.035 CMM software. The experimental design matrix and measured shrinkage values are presented in Table 1. Based on measured dimensions, shrinkage of a specimen is calculated using [18], %dX ¼

jX XCAD j 100 XCAD

ð1Þ

where XCAD represents the dimension from CAD model, X is the actual size measured using vernier caliper, and %dX stands for percentage change in dimension along speciﬁed direction.

4 Results and Discussion 4.1

Development of Empirical Equations

In the analysis of variance, the coefﬁcient of regression model is obtained through removing the insigniﬁcant terms. The formulated regression model is given as: Avg: Shrinkage ðSÞ ¼ 65:614 þ 62:988A þ 1:461B 36:791C 0:425D þ 1:31AB 31:329AC 0:159BC þ 0:128CD þ 28:716A2 0:018B2 þ 4:983C2 þ 0:0001D2 ð2Þ

4.2

D. Rajamani et al.

Optimization of Dimensional Shrinkage Using Simulated Annealing

In the present investigation, a single-objective optimization for minimizing the shrinkage of SIS processed parts sheet within the prescribed set of bounds is presented. The regression models developed using RSM are as a ﬁtness function in genetic algorithms. The GA algorithm for these optimization studies are performed using MATLAB codes. The standard mathematical format for minimizing shrinkage can be stated as: Minimize ¼ ShrinkageðA; B; C; DÞ

ð3Þ

Subjected to constrained variables are placed as bounds on the four input parameters such as, 1 mm A 3 mm 22:16 J mm2 B 28:48 J mm2 3 mm/s C 4 mm/s 80 mm=min D 120 mm=min The regression models developed using RSM are used as the ﬁtness function for both the algorithms. The initial setting for running the GA is mentioned in Table 2. The critical parameters on genetic algorithm are population size, population type, crossover function, mutation function, migration rate, and the direction of migration. In case of simulated annealing algorithm, initial temperature, annealing function, annealing interval, and temperature update function are considered as critical parameters. Simulation is performed in MATLAB environment using optimization toolbox. Steep curve is observed (Fig. 2) due to maximized search space and then converges in 75th generation to obtain a best possible optimal solution. The optimal process parameters to achieve minimal dimensional shrinkage are observed at 133rd iteration, and the results are shown in Fig. 2.

Table 2 Combination of GA parameters leading to optimal solutions

Type of population Size of population Crossover function Rate of crossover Type of mutation Rate of mutation Creation function Migration rate Direction of migration

Double vector 100 Scattered 0.8 Adaptive feasible 0.7 Feasible population 0.2 Forward

Modeling and Optimization of SIS Process …

Fig. 2 Genetic algorithm optimal solution fronts

D. Rajamani et al.

5 Conclusion The present investigations dealt on the signiﬁcance of SIS process variables in estimating the shrinkage characteristics of fabricated HDPE parts. The process model is established through using RSM-based BBD method and a global convergence genetic algorithm is then applied for obtaining optimum SIS process parameters. Experimental and optimization results show that the use of this combined RSM Genetic algorithm approach is an effective choice in determining optimal SIS process variables such as thickness of each layer is about 0.1 mm, heat supply of 28.478 J/mm2, feed rate of heating system is 3.472 mm/s, and inhibitor feed rate of 105.388 mm/min for production of parts of superior dimensional accuracy.

References 1. ISO/ASTM Standard 52900: Additive Manufacturing-General Principles-Terminology. ISO/ ASTM International, Switzerland (2015) 2. Weaver, T.: Made to measure. Eng. Mag. 20–21 May 2006 3. Degrange, J.: Paradigm shift from rapid prototyping to direct manufacturing. In: Proceedings from the SLS User Group Meeting, Orlando. FL, Sept 2003 4. Wohlers: Rapid prototyping tooling and manufacture. Annual State of the Industry report. Wohlers Associates. USA (2003) 5. Jauffre’s, D., Lame, O., Vigier, G., Dore, F., Douillard, T.: Sintering mechanisms involved in high-velocity compaction of nascent semi crystalline polymer powders. Acta Materialia 57, 2550–2559 (2009) 6. Khalil, Y., Kowalski, A., Hopkinson, N.: Influence of energy density on flexural properties of laser-sintered UHMWPE. Addit. Manuf. 10, 67–75 (2016) 7. Gu, D., Zhang, G.: Selective laser melting of novel nanocomposite parts with enhanced tribological performance. Virtual Phys. Prototyp. 8(1), 11–18 (2013) 8. Calignano, F., Manfredi, D., Ambrosio, E.P., Luliano, L., Fino, P.: Influence of process parameters on surface roughness of aluminium parts produced by DMLS. Int. J. Adv. Manuf. Technol. 67(9), 2743–2751 (2013) 9. Zhang, J., Khoshnevis, B.: Selective separation (SSS) a new layer based additive manufacturing approach for metals and ceramics. In: Proceedings from the 26th SFF Symposium, Austin, TX, pp. 71–79 (2015) 10. Hopkinson, N., Erasenthiran, P.: High speed sintering—early research into a new rapid manufacturing process. In: Proceedings from the 15th SFF Symposium, Austin, Texas, pp. 312–320 (2004) 11. Khoshnevis, B., Asiabanpour, B., Mojdeh, M., Koraishy, B., Palmer, K., Deng, Z.: SIS—A new SFF method based on powder sintering. In: Proceedings from the 13th SFF Symposium, Austin, Texas, pp. 440–447 (2002) 12. Asiabanpour, B., Palmer, K., Khoshnevis, B.: An experimental study of surface quality and dimensional accuracy for selective inhibition of sintering. Rapid Prototyp. J. 10(3), 181–192 (2004) 13. Rajamani, D., Esakki, B., Arunkumar, P., Udayagiri, C., Sachin, S.: Experimental investigation of SHS process variables using NSGA–II and RSM for evaluating mechanical strength characteristics of polyethylene parts. Int. J. Manuf. Technol. Res. 10(1) (2018)

Modeling and Optimization of SIS Process …

14. Esakki, B., Ponnambalam, A., Rajamani, D.: Modeling and prediction of optimal process parameters in wear behaviour of selective inhibition sintered high density polyethylene parts. Prog. Addit. Manuf. 1–13 (2017) 15. Arunachalam, A., Ponnambalam, A., Esakki, B.: Comparative study of high performance polymers in selective inhibition sintering process through ﬁnite element analysis. J. Polym. Polym. Compos. 25(3), 199–202 (2017) 16. Evans, M.: Optimization of Manufacturing Processes: A Response Surface Approach. Carlton House Terrace, London (2003) 17. Holland, J.: Adaptation in natural and artiﬁcial systems. The University of Michigan, Ann Arbor (1975) 18. Sood, A.K., Ohdar, R.K., Mahapatra, S.S.: Improving dimensional accuracy of fused deposition modelling processed part using grey Taguchi method. Mater. Des. 30, 4243–4252 (2009)

Computational Characterization of a CD Nozzle with Variable Geometry Translating Throat S. Apoorva and Suresh Chandra Khandai

Abstract Nozzles constitute the exhaust system of jet engines. They are designed to regulate the flow properties to provide the required thrust force for all flight conditions. In the present work, the simulation of a de Laval nozzle outﬁtted with a throat shifting mechanism is compassed. The mechanism adds a variation in the throat geometry during the translation of the throat. A convergent–divergent (CD) nozzle is designed for Mach 2 initially. The geometry of the throat is varied by keeping the settling chamber pressure constant. The scope of the effort was to investigate the characteristics over the range of geometries (throat diameters, 10, 9.5, 9, and 8.5 mm) and operating conditions. The simulation of the nozzle flow is carried out using ANSYS CFX. Shear stress transport (SST) turbulence is used for the flow simulation. Grid-independent study is also performed for better mesh results. The simulation is carried out for chamber pressures of 8, 9.5, 11.5, and 14 bar. The Mach number, pressure, velocity, and temperature readings are taken along the nozzle axis and also the important cross sections of the nozzle for all cases. Thrust is calculated for all the cases and compared. Plot comparison of variations in the parameters was done, and optimum results were inferred. Keywords CD nozzle throat Grid SST

Pressure Temperature Variable geometry translating

List of Symbols M V Ae A* d* de

Mach number Nozzle exit velocity (m/s) Nozzle exit area (mm2) Nozzle throat area (mm2) Nozzle throat diameter (mm) Nozzle exit diameter (mm)

S. Apoorva (&) S. C. Khandai Department of Aeronautical Engineering, Rajalakshmi Engineering College, Thandalam, Chennai 602105, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_2

Pamb Po Pe To Te L X

S. Apoorva and S. C. Khandai

Ambient pressure (N/m2) Inlet pressure (N/m2) Exit pressure (N/m2) Inlet temperature (K) Exit temperature (K) Nozzle length (mm) Distance from nozzle inlet (mm)

1 Introduction Nozzles constitute the exhaust system of jet engines. They are designed to regulate the flow properties to provide the required thrust force for all flight conditions. The convergent, convergent–divergent (CD) and divergent nozzles dwell as the three basic types of nozzles used in jet engines. The location in the CD nozzle where the cross-sectional area is at its minimum is labeled as the throat. The throat sees a choked flow (M = 1) when the back pressure and the corresponding pressure ratio are in range. Downstream of the throat, the nozzle cross-sectional area increases and the gas begins to expand to supersonic velocities. The expansion ratio of the nozzle interprets the ratio of exit area to throat area. When the exit pressure is less than the ambient pressure (over-expansion), the external pressure nudges the flow inward, thus reducing the efﬁciency of the nozzle due to the availability of extra wall not contributing to any additional thrust. Hence, the nozzle should be shorter in length and should have smaller exit area to ensure better efﬁciency. When exit pressure is equal to ambient pressure, it is an optimum expansion. Optimum expansion of flow always ensures maximum thrust. When exit pressure is greater than ambient pressure (under-expansion), the flow continues to expand outward after leaving the nozzle, not exerting any pressure on the nozzle wall, and thus not contributing to any thrust. Hence, the nozzle should be longer enough and ﬁtted with a larger exit area to ensure better efﬁciency. If the engine has to operate over a variety of operating ranges, a ﬁxed geometry nozzle may not really serve the purpose. It might be necessary to increase or decrease the nozzle area which is why the variable area nozzles came into play. Variable area nozzles or adjustable nozzles are thus required for matched operation under all conditions. An experimental investigation of the throat shift of a family of two-dimensional high-speed civil transport nozzle concepts was conducted on the internal aerodynamic stability by Edwin J. Kawecki and Gregg L. Ribeiro. Natta et al. [1], Pandey and Singh [2], and Pandey and Yadav [3] numerically investigated and discussed the variation of flow parameters of a rocket nozzle for a design Mach of 3 at various divergence angles keeping the throat and inlet diameter constant. The degree of angle for conical nozzle can be large as 12°–18°. Pansari

Computational Characterization of a CD Nozzle …

and Jilani [4] conferred the analysis of the performance of flow characteristics of CD nozzles. It was concluded that the shock strength increases with decrease in operating pressure ratio and a shift in shock location toward exit was also observed mutually. An increase in the exit Mach number and the Mach number ahead of the shock was also observed for the decreasing operating pressure ratio. Stark [5] investigated the flow separation in rocket nozzles. Cold and hot flow tests were conducted to investigate the flow separation. Analysis of flow within CD supersonic nozzle for different cross sections like rectangular, square, and circular, keeping the same input conditions, using ANSYS FLUENT 12.0 has been carried out by Satyanarayana et al. [6]; it was found that rectangular nozzle gives higher exit velocity as compared to square and circular nozzles. The design and CFD analysis of CD tri-nozzle had been carried out by Vinod Kumar et al. [7]. It was optimized to have high expansion coefﬁcient than single nozzle without altering the divergent angle. The variations in mean velocity proﬁles of the x component along the x-axis of the twin jets at the designed Mach number were discussed by Pandey and Kumar [8]. It was found that the velocity proﬁles are fairly symmetrical about y = 0 and its gradients decay along x-axis. Due to the effect of entrainment in the shear layer, the velocity between two jets and the width of twin jets were found to increase with the x-axis. Lijo [9] explained a numerical investigation of transient flows in an axisymmetric over-expanded thrust optimized contour nozzle to validate results and investigated oscillatory flow characteristics during the start-up processes. Ali et al. [10] majored the numeric simulation of fluidic modulation of nozzle thrust and identiﬁed that secondary injection pressure and size of the injector (added mass flow) regulate the thrust production for a ﬁxed geometry and operating pressure. Increased secondary mass flow ratio increased the modulation of thrust.

2 Nozzle Design The nozzle initially is tailored for a design Mach number (M) of 2.0 (area ratio (Ae/ A*) = 1.69), assuming the flow to be isentropic. The ﬁrst case (Fig. 1a) is presumed to have a throat diameter (d*) of 10 mm and hence an exit area (equal to the inlet area) of Ae = 132.50 mm2. Fixing maximum deflection angle as 2° throughout, case 1 sees equal converging and diverging lengths (along nozzle axis) of 42.79 mm. Hence, overall nozzle length is 85.58 mm. In accordance with the ﬁtted mechanism, cases 2, 3, and 4 have throat diameters of 9.5, 9, and 8.5 mm and corresponding converging lengths of 32.63, 28.47, and 21.31 mm, respectively. The overall length and the inlet and exit areas of the nozzle remain the same for all four cases of variation of throat geometry and location.

S. Apoorva and S. C. Khandai

(a)

(b)

Fig. 1 a Nozzle with throat at initial position and b meshed nozzle

Table 1 Nozzle design parameters

Design parameters

Values

Total nozzle length (mm) Inlet diameter (mm) Exit diameter (mm)

85.58 12.99 12.99

3 Computation Procedure The simulation of nozzles was carried out by ANSYS CFX with the assumption of air as an ideal fluid. The analysis includes modeling, meshing, preprocessing, solving, and post-processing. Three nozzle geometries were created by varying the dimension and location of the throat. Altogether, geometrical contours of four nozzles with throat diameters 10, 9.5, 9, and 8.5 mm were constructed (Table 1). The grid-independent and domain optimization studies were carried out, and the grid chosen for the simulations had 16,796 elements with 18,216 nodes with unstructured ﬁne meshing (Fig. 1b). The computation was carried out, and the results are analyzed in the results and discussions (Table 2).

4 Results and Discussions The variation of parameters like static pressure, Mach number, and velocity with change in area ratio and throat location was studied. The chamber pressure is kept constant while varying the geometry of the nozzle. The simulation is carried out for chamber pressures of 8, 9.5, 11.5, and 14 bar. The Mach number plots (for settling chamber of 8 bar) of the nozzle with throat diameters 10, 9.5, 9, and 8.5 mm along the nozzles are shown in Fig. 2. The Mach number at exit reaches its highest value (M = 1.8) for d* = 8.5 mm case and is lowest (M = 1.7) for the initial case of d* = 10 mm. The observed Mach numbers were 1.78 and 1.74 for the d* = 9 and 9.5 mm, respectively. Decrease in Mach

Computational Characterization of a CD Nozzle …

Table 2 Boundary conditions Boundary conditions

Medium of flow = Air ideal gas Inlet total pressure Outlet average relative static pressure (bar) (bar) 1 2 3 4

8 9.5 11.5 14

0.01075 0.00625 0.00775 0.00945

Fig. 2 Mach number variation along the nozzle for settling chamber pressure of 8 bar

2.00

1.50

1.00

d=10mm d=9.5mm d=9mm

0.50

d=8.5 0.00 0.00

0.50

1.00

1.50

x/L

number was observed with increase in throat diameter for the settling chamber pressure of 8 bar. Similar trends were observed for the nozzles with different chamber pressures as shown in Figs. 5, 8, and 11. Hence, the Mach number seems to increase as the throat shrinks and translates rearward. The static pressure variation of the conical nozzles with throat diameters 10, 9.5, 9, and 8.5 mm at locations inside the nozzles is shown in Fig. 3. The minimum pressure values reached the exit were 0.54, 0.61, 0.66, and 0.87 bar for throat diameters 10, 9.5, 9, and 8.5 mm, respectively. Similarly, pressure variations for chamber pressures 9.5, 11.5, and 14 bar are shown in Figs. 5, 8, and 11, respectively. The static pressure for all four cases decreases from the inlet to exit in order to mix with the ambient air (Figs. 4, 6, 7, 9, and 10). Velocity variations inside conical nozzles with throat diameters 10, 9.5, 9, and 8.5 mm for chamber pressures 8, 9.5, 11.5, and 14 bar are shown in Figs. 4, 7, 10, and 13, respectively. The maximum velocity (Vmax) at the nozzle exit among the four indicated cases was obtained for the minimum throat diameter of 8.5 cm. Thrust is determined numerically for all the simulated cases, and it is inferred that although the velocity and corresponding Mach number for the minimum throat diameter case (d* = 8.5 mm) have maximum values for a given inlet pressure, thrust for the same happens to be minimum (Table 3). The percentage decrease in

S. Apoorva and S. C. Khandai

Fig. 3 Pressure variation along the nozzle for settling chamber pressure of 8 bar

1.20 1.00 d=10mm

P/Po

0.80

d=9.5mm d=9mm

0.60

d=8.5mm 0.40 0.20 0.00 0.00

0.50

1.00

1.50

x/L

Fig. 4 Velocity variation along nozzle axis for settling chamber pressure of 8 bar

1.20 1.00

V/Vmax

0.80 0.60

d=10mm

0.40

d=9.5mm

0.20

d=9mm

0.00 0.00

0.50

1.00

d=8.5mm 1.50

x/L

Fig. 5 Mach number variation along nozzle axis for settling chamber pressure of 9.5 bar

2.00

1.50

1.00

d=10 d=9.5

0.50

d=9 d=8.5

0.00 0.00

0.50

1.00

x/L

1.50

Computational Characterization of a CD Nozzle … Fig. 6 Pressure variation along nozzle axis for settling chamber pressure of 9.5 bar

1.60 1.40 1.20 d=10

P/Po

1.00

d=9.5

0.80

d=9

0.60

d=8.5

0.40 0.20 0.00 0.00

0.50

1.00

1.50

x/L

Fig. 7 Velocity variation along nozzle axis for settling chamber pressure of 9.5 bar

1.20 1.00

v/vmax

0.80 0.60

d-10 d=9.5 d=9 d=8.5

0.40 0.20 0.00 0.00

0.50

1.00

1.50

x/L

Fig. 8 Mach number variation along nozzle axis for settling chamber pressure of 11.5 bar

2.00

1.50

d=10mm

1.00

d=9.5mm 0.50

d=9mm d=8.5mm

0.00

0.50

1.00

1.50

x/L

thrust observed during the throat shift from d* = 10 mm to d* = 8.5 mm is 30.6% for the ﬁrst case (Po = 8 bar). The successive cases with chamber pressures 9.5, 11.5, and 14 bar see 29.3, 28.3, and 28.1% decrease in thrust, respectively, during the throat shift (Figs. 6, 9 and 12).

S. Apoorva and S. C. Khandai

Fig. 9 Pressure variation along nozzle axis for settling chamber pressure of 11.5 bar

1.40 1.20

d=10mm

P/Po

1.00

d=9.5mm

0.80

d=9mm

0.60

d=8.5mm

0.40 0.20 0.00 0.00

0.20

0.40

0.60

0.80

1.00

1.20

x/L

Fig. 10 Velocity variation along nozzle axis for settling chamber pressure of 11.5 bar

1.20 1.00

V/Vmax

0.80 0.60

d=10mm

0.40

d=9.5mm

0.20

d=9mm

0.00 0.00

d=8.5mm 1.00 1.50

0.50

x/L

Fig. 11 Mach number variation along nozzle axis for settling chamber pressure of 14 bar

2.00

1.50

1.00 d=10mm d=9.5mm

0.50

d=9mm d=8.5mm

0.00

0.50

1.00

x/L

1.50

Computational Characterization of a CD Nozzle …

1.20 d=10mm

1.00

P/Po

d=9.5mm 0.80

d=9mm

0.60

d=8.5mm

0.40 0.20 0.00

0.00

0.50

1.00

1.50

x/L

Fig. 12 Pressure variation along the nozzle for settling chamber pressure of 14 bar

1.20 1.00

V/Vmax

0.80 0.60 d=10mm 0.40

d=9.5mm d=9mm

0.20 0.00 0.00

0.50

x/L

1.00

d=8.5mm 1.50

Fig. 13 Velocity variation along the nozzle for settling chamber pressure of 14 bar

Table 3 Nozzle exhaust thrust d* d* d* d*

= = = =

10 mm 9.5 mm 9 mm 8.5 mm

Po = 8 bar

Po = 9.5 bar

Po = 11.5 bar

Po = 14 bar

82.022 73.035 65.438 56.903

101.942 93.233 83.936 72.055

128.664 116.245 102.028 92.162

160.182 N 145.872 N 130.069 N 115.15 N

N N N N

5 Conclusions The simulation of a CD nozzle outﬁtted with a throat shifting mechanism has been compassed, and the Mach number, pressure, and velocity readings were taken along the nozzle axis. The important cross sections of the nozzle over the range of

S. Apoorva and S. C. Khandai

geometries (throat diameters, 10, 9.5, 9, and 8.5 mm) and operating conditions have been observed for chamber pressures of 8, 9.5, 11.5, and 14 bar using ANSYS CFX. It is inferred that • Mach number increases as the throat shrinks and translates rearward. • The maximum velocity magnitude at the nozzle exit among the four indicated cases is obtained for the minimum throat diameter case of 8.5 cm. • The thrust calculated for each case is tabulated, and it is seen that maximum thrust of 160.18 N is obtained for the maximum throat diameter case (d* = 10 mm) with maximum given settling chamber pressure of 14 bar. The thrust for the minimum throat diameter case (d* = 8.5 mm) has a minimum value for a given inlet pressure. • The percentage decrease in thrust observed during the throat shift from d* = 10 mm to d* = 8.5 mm is 30.6% for the ﬁrst case (Po = 8 bar). The successive cases with chamber pressures 9.5, 11.5, and 14 bar see 29.3, 28.3, and 28.1% decrease in thrust, respectively, during the throat shift.

References 1. Natta, P., Ranjith Kumar, V., Hanumantha Rao, Y.V.: Investigation of variation of flow parameters of a rocket nozzle. IJERA (2012). ISSN 2248–9622 2. Pandey, K.M., Singh, A.P.: CFD analysis of conical nozzle for mach 3 at various angles of divergence with fluent software. IJCEA 1(2) (2010). ISSN 2010–0221 3. Pandey, K.M., Yadav, S.K.: CFD analysis of a rocket nozzle with four inlets at Mach 2.1. IJCEA 1(4) (2010). ISSN: 2010–0221 4. Pansari, K, Jilani, S.A.K.: Analysis of performance of flow characteristics of convergent-divergent nozzles. IJAET (2013). ISSN: 22311961 5. Stark, R.H.: Flow Separation in Rocket Nozzles. AIAA, German Aerospace Center, Lampoldshausen, D-74239, Germany (2005) 6. Satyanarayana, G., Varun, C., Naidu, S.S.: CFD analysis of convergent-divergent nozzle. Acta Technica Corviniensis Bull. Eng. Fascicule 3 (2013). ISSN 2007–3809 7. Vinod Kumar, P., Kishore Kumar, B.: Design and CFD analysis of convergent-divergent nozzle. Int. J. Prof. Eng. Stud. 9(2) (2017) 8. Pandey, K.M., Kumar, V.: CFD analysis of twin jet flow at Mach 1.74 with fluent software. Int. J. Environ. Sci. Dev. 1(5) (2010). ISSN: 2010-0264 9. Lijo, V.: Numerical investigation of transient flows in an axisymmetric over-expanded thrust optimized contour nozzle. Int. J. Heat Fluid Flow 409–417 (2010) 10. Ali, A., Neely, A., Young, J., Blake, B., Lim, J.Y.: Numerical simulation of fluidic modulation of nozzle thrust. In: 17th Australian Fluid Mechanics Conference, 5–9 Dec 2010

Synthesis and Characterization of Al2O3–Cr2O3-Based Ceramic Composites for Artiﬁcial Hip Joint Chandramani Goswami, Amar Patnaik, I. K. Bhat and Tej Singh

Abstract The purpose of the present research work is to study the structural, mechanical and wear properties of artiﬁcial hip ceramic composites with varying proportion of aluminum and chromium oxide. The ceramic composites containing ﬁxed amount of zirconium oxide, magnesium oxide, silicon nitride with varying amount of aluminum and chromium oxide were fabricated by using spark plasma sintering process and subsequently evaluated for structural (XRD, X-ray diffraction), elemental (EDS, energy-dispersive spectroscopy), mechanical (fracture toughness, elastic modulus and hardness) and wear properties. The results showed that aluminum and chromium oxide contents have a signiﬁcant influence on the mechanical and wear properties of the fabricated ceramic composites. In particular, the composites containing 1.5 wt% chromium oxide and 70.5 wt% of aluminum oxide showed better mechanical properties with improved wear resistance. This result clearly indicates that the proposed ceramic materials may be a better alternative for artiﬁcial hip material. Keywords Artiﬁcial hip material Wear

Ceramic composites Mechanical

1 Introduction Hip joint materials should possess high wear resistance and mechanical properties with good bio-compatibility in order to minimize the production of wear debris for their long-run. However, currently available hip joint materials wear out rapidly and C. Goswami A. Patnaik (&) Department of Mechanical Engineering, MNIT, Jaipur 302017, India e-mail: [emailprotected] I. K. Bhat Applied Mechanics Department, MNNIT, Allahabad 211004, India T. Singh Department of Mechanical Engineering, Manav Bharti University, Solan 173229, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_3

C. Goswami et al.

cause severe damage to the body [1]. For the few decades, many material combinations have been developed for hip joints, which include ceramic-on-polyethylene, metal-on-polyethylene, ceramic-on-ceramic, metal-on-metal and ceramic-on-metal. Traditional metal and polymer-based implants have been reported to have cancer and osteolysis risk [2]. The lower wear rates and reduced harmful effect on the human body, aluminum oxide-based ceramic composites have gain widespread popularity for hip joint replacement [3–7]. For young patients, alumina-on-alumina composite will be the best preference for a total hip arthroplasty [8]. Hip joints made of alumina and zirconia had shown extremely lower wear properties [9]. With the addition of silicon nitride to alumina–zirconia composite reported to exhibit a very low friction, negligible wear rate, excellent bio-compatibility and can be used as inserts with or without bone cement [10–13]. The beneﬁcial effect of chromium oxide on the mechanical and wear properties of alumina-based composites was also reported in literature [14]. Hence, it is expected that chromium oxide will also affect the performance of alumina–zirconia–magnesium oxide–silicon nitride-based ceramic composites in beneﬁcial way. Therefore, in current research work, chromium oxide was reported to be used as reinforcement in ceramic composites. Hence, ceramic hip implant composites containing magnesium oxide, zirconium oxide, silicon nitride and varying proportion of aluminum oxide and chromium oxide were fabricated by using spark plasma sintering process and evaluated for their mechanical and wear properties.

2 Experimental Details 2.1

Materials and Fabrication

Commercially available aluminum oxide (Al2O3, 99.9%), zirconium oxide (ZrO2, 99.5%), magnesium oxide (MgO, 99.5%), silicon nitride (Si3N4, 99.8%), chromium oxide (Cr2O3, 99.5%) with an average particle size in the range of 5–10 lm have been used to synthesize the composite for hip implant. Four series of composites were fabricated with varying weight percentage of ingredients as shown in Table 1. The weighed powder amount was ﬁrst milled with the help of ball milling machine for 4 h using tungsten grinding media in toluene solution with a ball to powder ratio of 10:1 at 300 rpm. This mixture was separated and oven-dried. Afterward, the dried mixture was spark plasma sintered (SPS Syntex, Japan) at 1400 °C with a uni-axial pressure of 60 MPa, at 300 °C per minute heating rate and under vacuum.

Synthesis and Characterization of Al2O3–Cr2O3 … Table 1 Compositional details and designation of the hip implant ceramic composites

2.2

Composition (wt%)

23 Designation CR-1 CR-2

CR-3

CR-4

*Parent composition 28 28 28 28 72.0 71.25 70.5 69.75 Al2O3 00.00 00.75 1.5 2.25 Cr2O3 *Parent composition = ZrO2 (20 wt%), Si3N4 (5 wt%), MgO (3 wt%)

Characterization

Identiﬁcation of phases were carried out by using a X’pert Pro (Panalytical, USA) X-ray diffractometer with a CuKa radiation source over 20–80°. Elemental composition of the fabricated hip implant composites was characterized with the help of energy-dispersive spectroscopy (EDS) on ﬁeld emission scanning electron microscope (FESEM, Zeiss, SUPRA 40VP). Hysitron TI 750-D Ubi-1 model used for nano-indentation measurements. Indentations were performed at 5000 µN at loading rate of 500 µN/s with a holding time of 2 s at maximum load. The Anstis model was [15] selected for the calculation of radial median crack. rﬃﬃﬃﬃ E P ﬃﬃﬃ p Kic ¼ 0:016 3 H c

ð1Þ

where P is the load; H is the hardness; E is Young’s modulus and c is the length of the surface crack length. Indentation was carried out using a micro-hardness tester (1600–1000 indenter, Buehler, Lke Bluff IL). Five indentations were made on each of the diagonal at a load of 20 N and 13 s of dwell time. Indentation-crack technique using Vickers micro-hardness tester employed for measurement of fracture toughness, with a load of 20 N for 13 s of indentation time. Wear tests are carried out as per ISO 6474-1:2010 [16]. Simulated body fluid prepared according to ISO 23317 [17] was used as lubricant medium.

3 Results and Discussion 3.1

Microstructural Characterization

X-ray diffraction (XRD) spectrums of the fabricated ceramic composites are presented in Fig. 1. It was observed from Fig. 1 that, all the samples exhibited the phase purity of initial constituents. Further to note that, Al2O3 and ZrO2 are the major ceramic powders present in the composite, while others, such as, MgO, Si3N4 and Cr2O3 are present in trace amounts. It is also observed that Cr2O3 peaks have

C. Goswami et al.

Fig. 1 XRD pattern of the fabricated ceramic composites

broadly lower intensities compared to the alumina due to its lower content. The FESEM image and corresponding EDS spectrum of the sintered sample (CR-3) is depicted in Fig. 2, which clearly revealed the presence of constituent elements such as O, Al, Si, Zr, Mg, Cr and N in the fabricated ceramic composite.

3.2

Mechanical and Wear Characterization

Figures 3 and 4 show the consistent improvement of hardness, elastic modulus, fracture toughness and wear rate when Cr2O3 was added to the ceramic composite. All the evaluated properties show a gradual increase from 0 to 1.5 wt% of Cr2O3 additions before decreasing with 2.25 wt% addition. The ceramic composite shows a gradual increment in hardness (Fig. 3) from 20.79 GPa (0 wt% Cr2O3, i.e., CR-1) to 24.38 GPa (1.5 wt% Cr2O3, i.e., CR-3). Moreover, the elastic modulus (Fig. 3) for fabricated ceramic composite reveals a regular enhancement from 231.39 GPa (CR-1) to 244.53 GPa (CR-3) which was *6% increment compared to the pure CR-1, having 0 wt% Cr2O3. The fracture toughness (Fig. 4) behavior mostly follows the similar movement of both hardness and elastic modulus shown in Fig. 3. The ceramic composite added with 1.5 wt% Cr2O3, i.e., CR-3 has the highest fracture toughness among fabricated ceramic composite (5.21 MPa m1/2), while for

Synthesis and Characterization of Al2O3–Cr2O3 …

Fig. 2 EDS analysis of CR-3 composite (insert—SEM image of the CR-3 composite)

Fig. 3 Effect of Cr2O3 content on hardness and elastic modulus of ceramic composite

C. Goswami et al.

Fig. 4 Effect of Cr2O3 content on fracture toughness and wear rate of ceramic composite

the CR-1 having no Cr2O3 resulted in 4.19 MPa m1/2. As regards the wear rate (Fig. 4), Cr2O3 has positive impact on the improvement of the wear rate of fabricated ceramic composites. The wear rate of ceramic composite also shows a steep decrease (65%) at the beginning from 0.0246 mm3/MC (0 wt% Cr2O3) to 0.0086 mm3/MC (1.5 wt% Cr2O3); after that, the wear rate of the samples is increased to about 13%; from 0.0086 to 0.0097 mm3/MC (2.25 wt% Cr2O3).

4 Conclusion In this investigation, the evaluation of structural, mechanical and wear properties of aluminum and chromium oxide-ﬁlled ceramic composite was carried out. The evaluated mechanical (hardness, elastic modulus and fracture toughness) properties of the ceramic composites increased up to 1.5 wt% chromium oxide and 70.5 wt% aluminum oxide content and then decrease above 1.5 wt% chromium oxide and 70.5 wt% aluminum oxide contents. Conversely, the wear rate was found to decrease up to 1.5 wt% chromium oxide and 70.5 wt% aluminum oxide content and then increase above 1.5 wt% chromium oxide and 70.5 wt% aluminum oxide contents. Finally, it was concluded that the ceramics composite with 1.5 wt% chromium oxide and 70.5 wt% aluminum oxide addition produced composite with best hardness (24.38 GPa), elastic modulus (244.53 GPa), fracture toughness (5.21 MPa m1/2) and lowest wear rate (0.0086 mm3/MC).

Synthesis and Characterization of Al2O3–Cr2O3 …

References 1. Trindade, M.C.D., Lind, M., Sun, D., Schurman, D.J., Goodman, S.B., Smith, R.L.: In vitro reaction to orthopaedic biomaterials by macrophages and lymphocytes isolated from patients undergoing revision surgery. Biomaterials 22(3), 253–259 (2001) 2. Hu, D., Tie, K., Yang, X., Tan, Y., Alaidaros, M., Chen, L.: Comparison of ceramic-on-ceramic to metal-on-polyethylene bearing surfaces in total hip arthroplasty: a meta-analysis of randomized controlled trials. J. Orthop. Surg. Res. 10, 22 (2015). https://doi. org/10.1186/s13018-015-0163-2 3. Mattei, L., Di Puccio, F., Piccigallo, B., Ciulli, E.: Lubrication and wear modelling of artiﬁcial hip joints: a review. Tribol. Int. 44, 532–549 (2011) 4. Skinner J.A., Haddad F.S.: Ceramics in total hip arthroplasty: a bearing solution?. Bone Joint J. 99-B(8), 993–995 (2017) 5. Yosh*toshi, H., Yukiharu, H., Taisuke, S., Daigo, K., Naoki, I.: Signiﬁcantly lower wear of ceramic-on-ceramic bearings than metal-on-highly cross-linked polyethylene bearings: A 10to 14-year follow-up study. J. Arthroplast. 31(6), 1246–1250 (2016) 6. Vendittoli, P.A., Amzica, T., Roy, A.G., Lusignan, D., Girard, J., Lavigne, M.: Metal ion release with large-diameter metal-on-metal hip arthroplasty. J. Arthroplast. 26(2), 282–288 (2011) 7. Smeekes, C., Ongkiehong, B., Van der Wal, B., Wolterbeek, R., Henseler, J.F., Nelissen, R.: Large ﬁxed-size metal-on-metal total hip arthroplasty: higher serum metal ion levels in patients with pain. Int. Orthop. 39(4), 631–638 (2015) 8. Bizot, P., Nizard, R., Lerouge, S., Prudhommeaux, F., Sedel, L.: Ceramic/ceramic total hip arthroplasty. J. Orthop. Sci. 5, 622–627 (2000) 9. Rahman, H.S.A., Choudhury, D., Osman, N.A.A., Shasmin, H.N., Abas, W.A.B.W.: In vivo and in vitro outcomes of alumina, zirconia and their composited ceramic-on-ceramic hip joints. J. Ceram. Soc. Jpn. 121(4), 382–387 (2013) 10. Bahraminasab, M., Sahari, B.B., Edwards, K.L., Farahmand, F., Arumugam, M., Hong, T.S.: Aseptic loosening of femoral components—a review of current and future trends in materials used. Mater. Des. 42, 459–470 (2012) 11. Silva, C.C.G.E., Higa, O.Z., Bressiani, J.C.: Cytotoxic evaluation of silicon nitride-based ceramics. Mater. Sci. Eng., C 24, 643–646 (2004) 12. Bal, B.S., Khandkar, A., Lakshminarayanan, R., Clarke, I., Hoffman, A.A., Rahaman, M.N.: Fabrication and testing of silicon nitride bearings in total hip arthroplasty. J. Arthroplast. 24(1) (2009) 13. Nevelos, J.E., Prudhommeaux, F., Doyle, M., Hamadouche, C., Ingham, E., Meunier, A., Nevelos, A.B., Sedel, L., Fisher, J.: Comparative analysis of two different types of alumina-alumina hip prosthesis retrieved for aseptic loosening. J. Bone Joint Surg. (Br) 83-B, 598–603 (2011) 14. Jenabzadeh, A.R., Pearce, S.J., Walter, W.L.: Total hip replacement: ceramic-on-ceramic. Semin. Arthroplast. 23(4), 232–240 (2012) 15. Anstis, G.R., Chantikul, P., Lawn, B.R., Marshall, D.B.: A critical evaluation of indentation techniques for measuring fracture toughness: I. Direct crack measurements. J. Am. Ceram. Soc. 64(9), 533–538 (1981) 16. International Standards, ISO-6474-2-2012 (en): Implants for surgery Ceramic materials -Part 2: Composite materials based on a high-purity alumina matrix with zirconia reinforcement. 04 (2012) 17. International Standards, ISO-23317: Implants for Surgery-In Vitro Evaluation for Apatite-Forming Ability of Implant Materials, 1st edn (2007)

Experimental Investigation on Tensile and Fracture Behaviour of Glass Fibre-Reinforced Nanoclay/Mg–Al LDH-Based Fibre Metal Laminates K. Logesh, V. K. Bupesh Raja, M. Venkatasudhahar and Hitesh Kumar Rana Abstract Nano-sized particulate materials have been influencing their effect in the modern world. In this paper, morphological conduct is been decided by using the sandwich sheets of ﬁbre-metal laminates (FMLs) containing nanoclay Cloisite 30B and Mg–Al layered double hydro-oxide (Mg–Al LDH). Atomic force microscope (AFM) is been utilized to discover the harshness of the nano-particles. Here, the tensile test for 3, 4 and 5 wt% of layered double hydroxide (LDH)/nanoclay added FML sheets was analysed. The EDAX is employed to discover the real structure of the chosen nano-powders along the identiﬁcation of the chemical composition of the nanoﬁller. It results that the sandwich sheet with nanoclay had smooth surface for a similar molecule measure than the LDH. The fractured surface is analysed by scanning electron microscopy (SEM) hence indicates ductile nature of fracture for modiﬁed epoxy and reinforced with glass ﬁbre metal. Henceforth, nanoclay and LDH-based FMLs can be decided on applications in automotive applications.

Keywords Tensile test Fibre-metal laminates (FML) Nanoclay (Closite-30B) LDH (Mg–Al) Atomic force microscope (AFM) Scanning electron microscopy (SEM)

K. Logesh (&) M. Venkatasudhahar (&) H. K. Rana (&) Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India e-mail: [emailprotected] M. Venkatasudhahar e-mail: [emailprotected] H. K. Rana e-mail: [emailprotected] V. K. Bupesh Raja (&) Department of Automobile Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_4

K. Logesh et al.

1 Introduction Layered double hydroxides (LDHs) otherwise said to be as anionic clays are a group of layered materials and have been in attention in modern days. Along with it comes the ﬁbre/metal laminates (FML’s) based on stacked arrangement of a ﬁbre-reinforced epoxy resin and the aluminium alloy and LDH materials because of its smaller-sized particulates are usually classiﬁed under nanoﬁllers. They are used to remove viruses and bacteria in water and the FMLs such as GLARE(glass ﬁbre/aluminium), CALL (carbon-ﬁbre/aluminium) and ARALL(aramide-ﬁbre/aluminium) and have found their application in upper fuselage skin structure in Airbus A380) [1]. LDH is used as the heat stabilizing source and also acid-scavenging mediums in many halogenated polymers [2]. LDH has stable structure due to the presence of hydrogen bond [3]. In this study, the LDH/nanoﬁllers based FMLs is observed using AFM technique and EDAX. Thermal endurance of the powder increases on adding of LDH powder in minute quantity over the metal, due to which its ﬁre retardant property is enhanced [3]. Nanoclay is a cheap naturally found mineral and is applied in preparing nanocomposite due to its good thermal resistivity [4]. The synergetic effect of LDH and glass ﬁbre reinforced epoxy composite materials aids in achieving high strength to weight ratio. Epoxy resin based on diglycidyl ether of biphenyl A (DGEBA), Tri Ethylene Tetra Amine (TETA), Dimethyl Form amide (DMF), and glass ﬁbre were used [5, 6]. The X-ray diffraction (XRD) analysis, tensile strength and flammability analysis had done by using vertical and horizontal burning test [7]. Thus, the result of Epoxy/LDH/glass ﬁbre shows that they are having highest tensile and flexural strength results [8]. The properties of Nano composites with the combination of Epoxy/nanoclay were realized. It was found that increased amounts of ﬁbre-matrix splitting are exhibited by the lower levels of surface treatment. The scanning electron microscopy (SEM), spectroscopy, tensile testing, Fourier transform infrared (FTIR), differential scanning calorimetric (DSC), thermogravimetric analysis (TGA), and chemical resistance test help evaluate the thermomechanical, morphological and resistance to chemical characteristics of jute ﬁbre PE/MMT nanocomposites [8–11]. Investigating of the fracture characteristics of a FML based on a tough glass ﬁbre-reinforced poly-propylene composite is carried out. Following this, the impact properties and quasistatic of these lightweight systems will be investigated.

2 Experimental Procedures 2.1

Material Investigation

In this experiment, the FML nanocomposites employed were made from aluminium alloy AA5052-H32/glass ﬁbre/AA5052-H32 along with epoxy resin added

Experimental Investigation on Tensile and Fracture Behaviour …

nanoclay + MgAl layered double hydroxide as matrix. Layered double hydroxides (LDHs) are the new class of layered inorganic crystalline materials attracting interest in the preparation of clay-based nanocomposites. LDH materials as nanoﬁllers have an availability of a wide range chemical compositions. It has a ability of being modiﬁed by different organic anionic surfactants [12]. (Gonzales, TX. USA). Nanoclays taken here are the high aspect ratio of layers of organomodiﬁed silicate minerals whose platelets can be as thin as 1 nm. These clays have natural occurrence and low cost because of which it can be used in commercial applications [13, 14]. The commercial-grade epoxy resin (type-AV138) and HV998 (hardner) was applied in fabrication. There are various chemical and physical properties of the hardener. The vapour pressure is lesser than 0.01 Pa at 21 °C, and speciﬁc gravity must be between 1.5 and 1.2 at 25 °C. The boiling point and the composition temperature must be greater than 200 °C [15]. The glass ﬁbre with woven roving mat of areal of 610 gsm, tensile strength is 1950 MPa, thermal expansion is 4.9–5.1 °C−1 and thermal conductivity is 1.2–1.35 W/m K, was used for the fabrication of specimen. Closite 30B, a commercial product is the nanoclay (NC) selected is supplied by Southern Clay Products the different mechanical properties of the materials E-Glass Fibre and the Aluminium Alloy AA5052-H32-0.5 mm. The properties of the aluminium alloy, tensile strength are 210–260 MPa, thermal expansion is 23.7 °C−1, density is 2.68 kg/m3, and thermal conductivity is 138 W/m K.

2.2

Manufacturing Method of FML Composites

By combining composites with the monolithic Al alloys, total mass may be reduced. Meanwhile, material properties like ﬁre tolerance and fatigue over standard monolithic Al alloys may be improved. The composite wAS fabricated by using hand lay-up method. The dual nanoﬁllers like nanoclay/LDH, i.e. 3, 4, 5 wt%, were stirred separately and used for fabricating the composite structures, and Fig. 1 shows the cross section of the nano-based FML composites. The premixing/stirrer process was done by using ethanol. The aircraft may ﬁnd a crucial failure, which might come back from a range of sources, like low-velocity (up to 10 m/s) objects of dropped tools throughout maintenance or high velocity (up to 100 m/s) objects as well as aiming bird or shell from tire failure. Also delamination between metal layers and composites, delamination between composite layers, similarly as debonding and ﬁbre breakage [16]. Fibre-metal laminate (FML) is the material made from a compound matrix reinforced with ﬁbres. The ﬁbre consists of usually glass, carbon, basalt or aramid, in spite of availability of different ﬁbres like paper or wood or amphibole. The compound is sometimes an epoxy, vinyl organic compound or polyester thermosetting plastic, marine, and construction industries. The reinforcement used here is glass [17].

K. Logesh et al.

(a)

(b)

(c)

Fig. 1 Cross section of FMLs with different wt% of LDH and nanoclay. a FML + 3 wt% of LDH/nanoclay. b FML + 4 wt% of LDH/nanoclay. c FML + 5 wt% of LDH/nanoclay

2.3

Atomic Force Microscopy

AFM employs a high-resolution SPM. It is indulged with resolution shown in fractions of nanometres that are better than 1000 times the optical diffraction limit. A cantilever beam with sharp-tipped probe is employed by AFM to scan over the surface of the sample [11]. Image formation is one of the typical classiﬁcations of the operation modes of AFM also known as colour mapping. The colour mapping is seen as a concern represented by the symbol R. The material pelletized was measured using AFM. Maximum sizes of the pellets were found to be in the range of 11–21 nm. Pelletization Pelletization compacts the materials in powder type which is further given a deﬁnite shape with the help of the pelletizer instrument, die setup and nanopellet. The pellets can be used to take a look at metal specimen rather than powder. During this method, the compact powder is moulded into a form by mechanical dies and forced to make balls for ball millings [18].

Experimental Investigation on Tensile and Fracture Behaviour …

2.4

EDAX Analysis

EDAX is an analysis process which helps in ﬁnding the constituents of the powders. EDAX is an X-ray qualitative analysis technique for elemental composition determination. It may be used during imaging in TEM, SE, etc. Once worn out using SEM instrument, a signal is acquired from a spot, an area, a line proﬁle or a second map. Its energy dispersive X-ray system by that energy absorption sites area unit was found within the specimen [19]. The results are plotted in the graph [16]. The graph has peaks. This is due to the electrons that are present in l-shell returns to the k-shell orbit. This is because the excitation due to the X-ray is made to switch off [17].

2.5

Tensile Strength

Tensile strength is carried out using FIE Universal Testing Machine (UTM). The gauge length and cross-head speeds as 5 mm/min are chosen relating to the ASTM D638 standards. The testing process includes applying tension to the specimen until it fractures by placing it in the testing machine. The increase in the gauge length helps record the tensile force. The sample is exposed to a increase in load until fracture with the help of grippers.

3 Results and Discussion 3.1

Tensile Properties

The tensile test results are given in Table 1. The samples which have FMLs are much better, even after fracture. From the experimental results, it is seen that along zero degree rolling direction, the tensile strength which is presented in FML specimen of the Al/ﬁbre is higher than the values seen in the sample 1. This is the Table 1 Tensile properties of FML + LDH/nanoclay composites Sample

Break load (kN)

Maximum displacement (mm)

Elongation %

Yield strength, ry (MPa)

Ultimate tensile strength, ru (MPa)

GLARE + 3 wt% of LDH + nanoclay GLARE + 4 wt% of LDH + nanoclay GLARE + 5 wt% of LDH + nanoclay

2922

7.43

12.38

127.33

163.54

2769

7.90

13.16

148

170

3952

6.76

11.27

133.66

180.31

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Fig. 2 Tensile stress–strain curves for FML nanocomposites

reason why the aluminium between the reinforcement of ﬁbre-epoxy with 3 wt% of LDH + nanoclay mixed in the matrix-interface is stable in the reinforcement of ﬁbre direction. The maximum tensile strength obtained in the FML samples as 116 MPa. This due to the compatibility with synthetic polymers and the variation in the fabrication process, which can result in the problems with process ability or the lack of dimensional stability [19–21]. Good yield strength is found for the 132 MPa in the nano-FML specimens. The thickness strain is calculated theoretically with the width and length measurements by isochoric assumption [1]. Figure 2 shows the tensile stress–strain curves for FML composites.

3.2

SEM Analysis

SEM images of the surfaces that are fractured are considered to analyse the mode of fracture and failure mechanisms. Testing of the fracture properties of FML based on e-glass ﬁbre-reinforced epoxy matrix composite was done. Also/. the ﬁbre pull out which is observed in the 3 wt%, some of the matrix fracture identiﬁed in the 4 wt%. The exact delamination occurs, and matrix breakages happen on the 5 wt% as shown in Fig. 3. SEM was used to evaluate the produced composites. The SEM micrograph of FML + LDH/nanoclay composite is shown in Fig. 5. An improvement was observed in the effect of damage based on glass ﬁbre, matrix cracking, pore and dimples due to ultimate tensile stress. The pores present can lead to crack formation that successively causes the debonding of the skin surface from the optical ﬁbre. The fracture was recorded at 100 magniﬁcation and scale level is 500 106 m.

Experimental Investigation on Tensile and Fracture Behaviour …

(a)

(b)

(c)

Fig. 3 a FML + 3 wt% of LDH/nanoclay, tensile fracture samples. b FML + 4 wt% of LDH/ nanoclay, tensile fracture samples. c FML + 5 wt% of LDH/nanoclay, tensile fracture samples

3.3

AFM Observation

AFM Analysis of Mg–Al LDH and Nanoclay The most direct way to assess the interphase at a free surface is atomic force microscopy (AFM), a powerful tool with unparalleled lateral resolution for characterizing not only morphology but also local surface mechanical properties. There are several dedicated modes available for distinguishing surface features based on mechanical response [22]. The images of the AFM topographic of LDH are shown in Fig. 4 at 20 magniﬁcation, and the corresponding parameters, Ra, are derived from the AFM scans. The most commonly used AFM modes are tapping mode (trademark of Bruker Corporation) that excites the cantilever at a single frequency. In addition to surface topography, this single-frequency method provides a phase image showing contrast corresponding to changes in material properties [23]. The AFM topographic images of the nanoclay are represented in Fig. 5, and the corresponding parameters, Ra, are derived from the AFM scans; the roughness analysis are shown in Table 2.

K. Logesh et al.

Fig. 4 3D image of MgAl LDH in AFM in 20 106 m

Fig. 5 3D image of nanoclay in AFM Table 2 Roughness analysis of layered double hydroxide and nanoclay S. No.

Details

MgAl LDH Parameters

Nanoclay

1 2 3 4 5 6 7 8 9 10 11 12 13

Number of sampling Max Min Peak-to-peak, Sy Ten point height, Sz Average Average roughness, Sa Root mean square, Sq Second moment Surface skewness, Ssk Coefﬁcient of kurtosis, Ska Entropy Redundance

65,536 no 1513.84 nm 0 nm 1513.84 nm 761.419 nm 800.254 nm 117.855 nm 160.574 nm 666,191 −0.0916793 2.21324 12.516 −0.18489

65,536 no 556.136 nm 0 nm 556.136 nm 286.122 nm 307.039 nm 56.5725 nm 73.606 nm 99,690.6 0.0395785 0.752605 11.54 −0.265808

Experimental Investigation on Tensile and Fracture Behaviour …

(a)

(b)

Fig. 6 a EDAX graph for LDH. b SEM image for LDH

Table 3 EDAX results for Mg–Al LDH and nanoclay EDAX results for Mg–Al LDH Element wt% at.%

EDAX results for nanoclay Element wt%

at.%

CK NK OK NaK MgK AlK Total

CK OK MgK AlK FeK SiK Matrix

38.42 36.32 0.74 6.85 0.96 16.72 ZAF

3.4

7.25 6.87 56.36 22.52 3.55 3.46 100

10.28 8.36 60.01 16.68 2.49 2.18 100

26.09 32.86 1.01 10.45 3.04 26.55 Correction

EDAX Analysis of LDH and Nanoclay

EDAX is the associated analytical technique used for the fundamental chemical properties of a sample. Its properties are due in vast part to the basic principle of electromagnetic emission spectrum (that is the main principle of spectroscopy). The SEM image of layered double hydro-oxide powders is depicted in Fig. 7. The EDAX analysis of LDH and its composition is visible in order in Fig. 6 and Table 3. Surface of the specimen was found with some coarse grains. Nanoclays are the present nanoﬁller and belong to a wider cluster of clay minerals. They are not new to mankind, and ceramists are victimizing them within the development of clay product since prehistoric times. For example, many clay products had been made ready using China clay, with the normal name kaoline, and its use is dated to the third-century BC in China. The EDAX of nanoclay and the following composition is shown in Fig. 7 and Table 3 along with that of LDH. Discovery of the composition of the specimen was done by the EDAX analysis.

(a)

K. Logesh et al.

(b)

Fig. 7 a EDAX image for nanoclay. b SEM image for LDH

4 Conclusion Hence from the paper, we can conclude as given below: • Size of LDH was larger than nanoclay as shown by AFM of LDH and nanoclay. • LDH powder was found coarser when compared to nano-clay. • A peak of 0.82 µm particle size at a single point was found in LDH roughness of powders the resulted histogram. • For nanoclay, the histogram showed that the coarseness of particles has a range over various sizes of particles. • The line diagram of nano-particulates and LDH resulted that nanoclay was brought to ﬁne-sized particles and hence can be used on different metal as ﬁre resistance coating which needs a better surface ﬁnish.

References 1. Logesh, K., Bupesh Raja, V.K.: Evaluation of mechanical properties of Mg-Al layered double hydroxide as a ﬁller in epoxy-based FML composites, pp.1–19. Int. J. Adv. Manuf. Technol. (2018). https://doi.org/10.1007/s00170-018-1692-8 2. Logesh, K., Bupesh Raja, V.K., Sasidhar, P.: An experiment about morphological structure of Mg-Al layered double hydroxide using ﬁeld emission scanning electron microscopy with EDAX analysis. Int. J. ChemTech Res. 8(3), 1104–1108 (2015). ISSN: 0974-4290 3. Becker, C.M., Gabbardo, A.D., Wypych, F., Amico, S.C.: Mechanical and flame-retardant properties of epoxy/Mg–Al LDH composites. Compos. A 42, 196–202 (2011) 4. Klemkaite, K., Prosycevas, I., Taraskevicius, R., Khinsky, A., Kareiva, A.: Synthesis and characterization of layered double hydroxides with different cations (Mg Co, Ni, Al), decomposition and reformation of mixed metal oxides to layered structures. Cent. Eur. J. Chem. 9(2), 275–282 (2011) 5. Gabr, M.H., Okumura, W., Ueda, H., Kuriyama, W., Uzawa, K., Kimpara, I.: Mechanical and thermal properties of carbon ﬁber/polypropylene composite ﬁlled with nano-clay. Compos. B 69, 94–100 (2015)

Experimental Investigation on Tensile and Fracture Behaviour …

6. da Costa, E.F.R., Skordos, A.A., Partridge, I.K., Rezai, A.: RTM processing and electrical performance of carbon nanotube modiﬁed epoxy/ﬁbre composites. Compos. A. Appl. Sci. Manuf. 43(4), 593–602 (Apr 2012) 7. Becker, C.M., Dick, T.A., Wypych, F., Schrekker, H.S., Amico, S.C.: Synergetic effect of LDH and glass ﬁber on the properties of two- and three-component epoxy composites. Polym. Test. 31, 741–747 (2012) 8. Wang, K., Chen, L., Kotaki, M., He, C.: Preparation, microstructure and thermal mechanical properties of epoxy/crude clay nanocomposites. Compos. A 38, 192–197 (2007) 9. Hossen, Md.F., Hamdan, S., Rahman, Md.R., Islam, Md.S., Liew, F.K., Lai, J.C., Rahman, Md.M.: Effect of clay content on the morphological, thermo-mechanical and chemical resistance properties of propionic anhydride treated jute ﬁber/polyethylene/nanoclay nanocomposites. Measurement 90, 404–411 (2016) 10. Li, M., Gu, Y., Liu, Y., Li, Y., Zhang, Z.: Interfacial improvement of carbon ﬁber/epoxy composites using a simple process for depositing commercially functionalized carbon nanotubes on the ﬁbers. Carbon 52, 109–121 (2013) 11. Bogner, A., Jouneau, P.H., Thollet, G., Basset, D., Gauthier, C.: A History of Scanning Electron Microscopy Developments: Towards ‘‘wet-STEM’’ Imaging, vol. 38, p. 391. Elsevier Ltd (2007) 12. Ramesh, M., Palanikumar, K., Hemachandra Reddy, K.: Evaluation of mechanical and interfacial properties of sisal/jute/glass hybrid ﬁber reinforced polymer composites. Trans. Indian Inst. Met. https://doi.org/10.1007/s12666-016-0844-5 13. Costa, F.R., Wagenknecht, U., Heinrich, G.: LDPE/MgeAl layered double hydroxide nanocomposite: thermal and flammability properties. Polym. Degrad. Stab. 92, 1813–1823 (2007) 14. Wypych, F., Satyanarayana, K.G.: Functionalization of single layers and nanoﬁbers: a new strategy to produce polymer nanocomposites with optimized properties. J. Colloid Interface Sci. 285, 532–543 (2005) 15. Hu, P.-Y., Hsieh, Y.-H., Chen, J.-C., Chang, C.-Y.: Characteristics of manganese-coated sand using SEM and EDAX analysis. J. Colloid Interface Sci. 272(2), 308–313 (2004) 16. Deva Kumar, M.L.S., Drakshayani, S., Vijaya Kumar Reddy, K.: Effect of fuel injection pressure on performance of single cylinder diesel engine at different intake manifold inclinations. Int. J. Eng. Innov. Technol. (IJEIT) 2(4) (Oct 2012). ISSN: 2277-3754 17. Zhang, H., Gn, S.W., An, J., Xiang, Y., Yang, J.L.: Impact behaviour of GLAREs with MWCNT modiﬁed epoxy resins. Exp. Mech. 54, 83–93 (2014) 18. Lokhande, C.D., Sankapal, B.R., Mane, R.S., Pathan, H.M., Muller, M., Giersig, M., Ganesan, V.: XRD, SEM, AFM, HRTEM, EDAX and RBS studies of chemically deposited Sb2S3 and Sb2Se3 thin ﬁlms. Appl. Surf. Sci. 193(1–4), 1–10 (2002) 19. Jezerska, L., Zajonc, O., Rozbroj, J., Vyletělek, J., Zegzulka, J.: Research on effect of spruce sawdust with added starch on flowability and pelletization of the material. IERI Procedia 8, 154–163 (2014) 20. Logesh, K., Bupesh Raja, V.K.: Formability analysis for enhancing forming parameters in AA8011/PP/AA1100 sandwich materials. Int. J. Adv. Manuf. Technol. 93(1-4), 113–120 (2017) 21. Ramesh, M., Nijanthan, S.: Mechanical property analysis of kenaf–glass ﬁbre reinforced polymer composites using ﬁnite element analysis. Bull. Mater. Sci. 39(1), 147–157 (2016) 22. Gonzalez-Canche, N.G., Flores-Johnson, E.A., Cortes, P., Carrillo, J.G.: Evaluation of surface treatments on 5052-H32 aluminum alloy for enhancing the interfacial adhesion of thermoplastic-based ﬁber metal laminates. Int. J. Adhes. Adhes. (2018). https://doi.org/10. 1016/j.ijadhadh.2018.01.003 23. Majzoobi, G.H., Morshedi, H., Farhadi, K.: The effect of aluminum and titanium sequence on ballistic limit of bi-metal 2/1 FMLs. Thin-Walled Struct. 122, 1–7 (2018)

Experimental Study on Micro-deburring of Micro-grooves by Micro-EDM Elumalai Boominathan and S. Gowri

Abstract Deburring of micro-structures is found to be a tedious job. But it is to be done during machining of micro-channels. This article describes the experiments conducted to remove top burrs in micro-channels produced by micro-milling. The correlation between burr size and feed rate is studied. The burr formation in the down-milling side always tends to be higher than that on the up-milled side. This is correlated with the so-called size effects in tool-based micro-machining. The bottom surfaces of the micro-channels are studied for surface quality. Moderate feed rate (1.25 µm/tooth) produces better surface quality and less top burrs. Micro-EDM is employed to remove the top burrs. Different energy levels were employed in a capacitance-based micro-EDM. It is found that the lesser the energy level better the deburred surface. High energy levels tend to damage the quality of the micro-channels. Keywords Micro-deburring

Micro-EDM Micro-milling Inconel 600

1 Introduction Burrs are major shortcomings in micro-milling process to create micro-grooves or micro-channels. Removal of the burrs is very much essential for proper functioning of the micro-components or channels. Burrs in micro-channels adversely affect the flow in micro-channels [1]. But deburring is considered as non-value-added and tedious operation in machining especially in case of micro-domain. Various methods have been suggested for deburring the micro-features by researchers in micro-domain [2–4].

E. Boominathan (&) Easwari Engineering College, Chennai, India e-mail: [emailprotected] S. Gowri College of Engineering, AU, Chennai, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_5

E. Boominathan and S. Gowri

Fig. 1 Concept of EDM deburring [5]

In this study, the feasibility of micro-EDM to remove the top burrs produced by the micro-milling of Inconel 600 is analyzed. Tungsten carbide is used as electrode, and the operations were carried out in EDM oil as electrolyte, and three energy levels are considered. Figure 1 shows the concept of EDM-based deburring process.

2 Experimentation Experiments were conducted in multipurpose micro-machine DT-110. The DT-110 is capable of performing all tool-based micro-machining activities such as micro-EDM, micro-ECM, micro-milling, micro-wire EDM. Micro-channels were machined in Inconel 600 using flat-faced end mill of 500 µm. The machining parameters such as depth of cut and spindle speed were ﬁxed, and different feed values were used to obtain sample micro-channels for deburring activity. Image-based measuring system was used to measure the micro-channel dimensions and the thickness of the top burrs. Interferometry-based Talysurf Taylor Hobson non-contact instrument was used to measure the bottom surface quality of the micro-channel. The scanning electron microscope image, in Fig. 2, explains the importance of burr removal in micro-channels machined by micro-milling. The machining parameters are listed in Table 1. Micro-channels with a width of 400 µm and for a depth of 25 µm were produced in Inconel 600 using uncoated tungsten carbide flat end mill. The machining parameters were ﬁxed based on previous set of optimization experiments conducted. The machined micro-slots were deburred using micro-EDM. The deburring was done without disturbing the ﬁxture setup so that proper positioning of micro-EDM

Experimental Study on Micro-deburring of Micro-grooves…

Fig. 2 Burrs in top of micro-channel produced in micro-milling

Table 1 Discharge energies

Capacitance (µF)

Voltage (V) 80 100

120

32 320 1280

72 720 2880

Discharge energy µJ 0.01 0.1 0.4

40.5 405 1620

electrode can be done automatically. For micro-EDM-based deburring, tungsten carbide was used as electrode and EDM oil as dielectric medium. Deburring was done using the top surface of the workpiece as reference surface. Different energy levels, Table 1, were used for deburring, and the electrode was rotating at 500 rpm so that the debris flushed away from the micro-channel. The deburred and fresh slots were analyzed by taking the images in SEM and VMS.

E. Boominathan and S. Gowri

Table 2 Feed rate versus Ra and burr width Feed rate (µm/tooth)

Surface roughness Ra (µm)

Burr width (µm) Up-milling side

Down-milling side

0.25 0.50 0.75 1.00 1.25 1.50 1.75 2.00

0.165 0.170 0.183 0.140 0.111 0.157 0.157 0.158

98 100 94 90 89 124 112 137

253 269 221 198 176 206 192 212

3 Results and Discussions The burr width result, Fig. 2 and Table 2, shows that the burr on the down-milling side is always bigger than the up-milling side. This can be explained by the size effect. In the up-milling side, the uncut chip thickness is minimum at the beginning of the cut and it reaches to the maximum when the edge reaches the middle. Graph in Fig. 3 illustrates the relationship between feed per tooth and surface roughness. The roughness value decreases to 1.2 µm/tooth and then increases. For the used machining conditions, the value can be considered as minimum uncut chip thickness. The micro-deburred micro-slots were studied using SEM images and VMS images, and they were found to be effective in removing burrs in the upper side of the micro-channel. The images in Fig. 4 show the effectiveness of the micro-EDM in burr removal of micro-features.

Fig. 3 Feed versus surface ﬁnish

Experimental Study on Micro-deburring of Micro-grooves…

Fig. 4 Effect of high energy

Fig. 5 Overcut during micro-EDM deburring

E. Boominathan and S. Gowri

From the SEM image analysis of the micro-deburred slots, Fig. 4, it is found that the high energy EDM burned the edges of the micro-channel, which is not preferred. In few cases, the overcut (in addition to deburring, the material under the burr also machined due to non-optimal machining conditions) due to excess EDM machining action is also observed, as shown in Fig. 5, and it is suggested that the proper selection of reference surface and the EDM parameters are necessary to obtain better burr removal.

4 Conclusion • In slotting operation, the up-milled side experienced small burrs as compared to down-milled side. The information gained can be utilized in tool path planning for micro-machined components. Final passes can be done in up-milling mode. • The micro-EDM can be successfully used as deburring tool for micro-features machined by micro-milling. • The energy level of EDM operation decides the effectiveness of deburring action. Mid range of energy level (720 µJ) is suggested for micro-deburring by EDM.

References 1. Ali, M., et al.: Prediction of burr formation in fabricating MEMS components by micro end milling. Adv. Mater. Res. 74, 247–250 (2009) 2. Kienzler, A., et al.: Burr minimization and removal by micro milling strategies or micropeening processes. In: Proceedings of the CIRP International Conference on Burrs, pp. 237–243 (2009) 3. Jang, K.-I., et al.: Deburring microparts using a magnetorheological fluid. Int. J. Mach. Tools Manuf. 53, 170–175 (2012) 4. Mathai, G.K., Melkote, S.N.: Deburring of microgrooves by abrasive brushing. In: Proceedings of the International Conference on Micromanufacturing, Madison, WI, p. 1979 (1–7) 2010 5. Jeong, Y.H., HanYoo, B., Lee, H.U., Min, B.-K.: Deburring microfeatures using micro-EDM. J. Mater. Process. Technol. 14, 5399–5406 (2009)

Influences of Tool Pin Proﬁles on Mechanical Properties of Friction Stir Welding Process of AA8011 Aluminum Alloy K. Giridharan, V. Jaiganesh and S. Padmanabhan

Abstract Friction stir welding (FSW) is a grand new solid-state bonding process is an emerging surface engineering technology based on the principles of friction stir welding (FSW). Friction stir welding is well-matched joining process for non-ferrous metals in the spacious range of various manufacturing applications for joining materials without material losses to get a top priority of defectless welded joints. In this article, a thickness of 5-mm AA8011 series aluminum alloy plate was coupled by butt joint using two dissimilar tool pin shapes of the straight cylindrical probe and taper pin probe with a consistent parameter of tool revolving speed, welding speed, and downward force of 1400 rpm, 35 mm/min, and 6 kN. The tool pin shapes are the important parameter of material joining process to ﬁx the joint properties, characteristics, quality of weld, and joint strength. The friction stir welding effects are determined after completing the joining process under a various ASTM standard testing methods, such as stiffness distribution in the entire welded zone area and material properties as compared to the base metal with testing results. The crucial tool travel feed is achieved with excellence material joints and extraordinary welded joint properties when collating to a straight cylindrical tool probe. It is identiﬁed that the taper pin proﬁle tool offers extensive result was obtained both hardness and tensile strength for to enhance productivity, has been discussed along with the future aspects included in the area of FSW process from this experimental investigation.

Keywords Friction stir welding AA8011 aluminum Constant process parameters Heat treatment

Tool pin proﬁles

K. Giridharan (&) S. Padmanabhan Department of Mechanical Engineering, Easwari Engineering College, Chennai 600089, India e-mail: [emailprotected] V. Jaiganesh Department of Mechanical Engineering, SA Engineering College, Chennai 600077, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_6

K. Giridharan et al.

1 Introduction The friction stir welding process is an utmost attractive joining technique of similar or dissimilar materials, which uses heat generated from a non-consumable tool which in a rotation and the tool pin probe stimulating effect. It was started and ﬁled by the welding institute (TWI) in 1991 [1]. The FSW process to fabricate various essential parts and obviously is most signiﬁcant among them in the effective joining process [2]. In the modern world, the needs for the use of lightweight alloys have developed in various different ﬁelds, and particularly in the area of automobiles where the minimization of components weight is the best way in challenging factor for reducing the fuel desolation and the emissions of CO2 [3]. Basically, the FSW tool is having two main parts, such as tool shoulder and plunging tool pin, and its involves in joining of invariable parts using stir welding process. Therefore, identiﬁcation of appropriate joint fabrication method involves a necessary function in the specimens in this area of different users [4]. Since less amount of metal melting process of the specimen while welding process, such as the general problems of fusion welding such as the solidiﬁcation and cracking, porosity, and the material losses are avoided in FSW. These beneﬁts attribute to spread over in a broad variety of commercial success of different applications on soft materials welding. However, welding tool involves heavy stress and huge temperature particularly for joining of massive strength steel materials, stainless steel, and other tough materials. These alloys are used now very less amount through the consideration of huge prize and low life in FSW tools [4]. Because it makes the FSW tool to utilize and to create heat between workpiece and tool shoulder surfaces to produce plastic deformity of welding by changing the potential energy into heat energy at an interact with workpieces without using electrical energy during a tool rotational due to downward force [5] (Fig. 1). During material joining process, it does not produce the welding defects like oxidation, internal cracks, and toxic gases [6]. FSW process is used to weld massive potency materials for automotive industries, aerospace, and shipbuilding applications. FSW technique produces four various types of region during the weld upon base metal [1–4]. The FSW tool and pin proﬁle give the important responsibility in

Fig. 1 Schematic diagram of FSW machine used in this study

Influences of Tool Pin Proﬁles on Mechanical Properties …

the investigation. In hardened forged steel mostly used marine applications for hull and structures, but the weight and cost of the workpieces are very massive comparing to aluminum alloy commercial grade. The other grade aluminum materials are 5xxx, 6xxx, and 8xxx series that relocates the forged steel [5, 6]. The commercial grade 8xxx aluminum alloy is the suitable materials for this application that has a lightweight material, and a small amount rust properties of aluminum alloy are compared to other marine materials. Compare to marine steel commercial grade alloys has nice decomposition ﬁghting and does not need anodizing, coating when used in ship structuring purpose. So only this type of materials is selected in this present investigation. In previously, a many of the research investigators have completed toward understanding the various efforts of tool shapes, dimensions of tool and FSW parameters on the behavior of material flow, formation and standard material properties, structures in the fabricated joints.

2 Methodology and Experimental Procedure Since many of the experimental studies in the area of FSW process of the commercial grade, same type of aluminum alloys or metals has been identiﬁed by produced but joints between the flat plates by using the straight-line method in using various different tool pin probe geometry by a variety of researchers. It is identiﬁed that joints between similar alloys or metals are few more only performed using in the method of friction stir welding. Therefore, the current research has been conducted for friction stir welding of AA8011 aluminum alloy by making of straight but joints by done in stir welding parameters.

3 Experimental Procedure In the current work, AA8011 aluminum alloy is used to fabricate welded joints. The supposed chemical composition of the plates is given in Table 1. Two aluminum plates of 100 50 5 mm (length, width, and thickness, respectively) were prepared hydraulic power cutting machine. Before kept the specimens on the machine table, the workpiece edges are properly shaped and prepared with the help

Table 1 Nominal chemical composition (wt%) of the parent metal AA8011 used in the friction stir welding Elements

Speciﬁed values wt%

0.10– 0.80 0.517

0.5– 1.0 0.897

0.10 max 0.059

0.10 max 0.055

0.10

0.05

0.029

0.011

0.10 max 0.019

0.017

K. Giridharan et al.

of basic workshop tools. Aluminum plates are located with help of rigid manual top clamp to avoid uneven condition while welding process from the welding route. The welding tool was inserted between two plates against the weld path. The joining process was done by invariable load by controlling the inﬁltration distance to downward of the tool probe into the combined line. The diameter ratio (D/d) of the FSW tool was maintained and regulates to make required pressure but also avoid the imposition of material while welding process.

3.1

FSW Tool Conﬁguration and Geometry

There are various two FSW tool pin probes used in the similar material joining process to be considered in friction stir welding. These two tools have signiﬁcant and have to be preferred with care to make sure an unbeaten joint and efﬁcient to do on complete welding process. The connection between the welding speeds and the temperature while welding is difﬁcult but, in common, it can be said that increase the tool rotational motion or reduce the welding speed will consequence in a hotter weld. Two various tool pin shapes are used—one is straight cylindrical pin, and another one is taper pin. Out of different tool like tool steel, high-speed steel, M35 High sped steel, high carbon high chromium steel, carbide, stainless steel, and carbon boron nitride. In this present investigation, M35 grade steel is select as tool material because of its high material hardness, easy to accessibility, easy availability, and minimum cost of tool material. The FSW tool having proﬁled pin along 7 mm to 4 mm pin diameter, 12 mm shoulder diameter, with the 5 mm length of pin illustrate Fig. 2. FSW tools are manufactured by center lathe by turning operation cutting tool with the help of single point. The tools are oil toughened to gain a rigidity of 60–64 HRC.

3.2

Specimen Preparation

The FSW tools are manufactured as per international standards and maintained material properties like as tensile characteristics, elongation of the material, and effectiveness of the joint strength computed by UTM with the help of centralized computer system. For every welded plate prepared three test specimens and tested in Figs. 3 and 4. In the hardness test (Brinell), a diamond ball is impressed into the top face of the specimen using a particular force. After tested a ball is removed and measure the intention of ball ﬁnd using a standard measuring instrument. The applied load and ball diameter are invariable and are chosen to suit the composition of the specimen, hardness, and thickness. In addition, the hardness of the ball should be at least 1.7 times the test sample to prevent enduring set in a ball.

Influences of Tool Pin Proﬁles on Mechanical Properties …

Machine Selection

Preparation of work piece

Design and Manufacturing of Tool pin profiles

Fixture and Work holding device

FSW Welding

Material Testing

Fig. 2 Methodology of experimental process

Fig. 3 FSW tools used present work

• Friction Stir Welding (FSW)

• AA 8011 Plates • Size of 100mmx50mmx5mm

• Straight cylindrical pin • Taper pin

• Bed with manual top clamping Method

• Rotational speed in rpm • Welding speed in mm/min • Axial load in KN

• Tensile test • Hardness test • Yield strength • % of Elongation

K. Giridharan et al.

Fig. 4 Location of weld direction in tensile test specimen

4 Result and Discussion The initial step to examine the obtained welded specimens is a visual inspection of crowns and roots because the welded surface of the material is exceptionally essential to provide information about the weld quality. The various two FSW tools produced a complete circle nearby the hole. The two various tool pins used in the present research work were taper pin probe and straight cylindrical probe. The taper probe produced massive mixing of friction stir weld and ultimate tensile test reached up to the highest level in the constant parameter. In the weld region area, zinc and iron particles were distributed evenly and also produces largely increase strength. The straight cylindrical tool pin probe produces minimum heat input and spoils the tensile properties. Figure 5 shows that the tapered probe is the huge result of high tensile strength. In this, a constraint reflected that better joint efﬁciency and shows welded specimens that most excellent performance in the cycle rule. This can considerably reduce the extent of metallurgical conversion taking place while welding process. The taper pin probe (Fig. 6) shows that increased the hardness value. In the FSW process, tool probes contribute to the fabrication of the welded joints. The straight pin probe affects the material properties compared to the taper pin probe, and its substantial softening takes place entire weld region due to the removal of grain hardening effect due to energetic recrystallization (Fig. 7).

Influences of Tool Pin Proﬁles on Mechanical Properties …

Fig. 5 Brinell hardness specimen

Fig. 6 Tensile strength on axial weld condition 140 120 100 80 60 40 20 0

Tensile strength on axial weld condition 86

128

straight Taper pin cylidrical probe pin

Fig. 7 Hardness versus tool proﬁle

5 Conclusion After discussed elaborately its helps us to understand that the tool shapes acting in necessary responsibility to ﬁnd the properties of the weldments during FSW process. Frictions stir welding of AA8011 joints was effectively done for the various

K. Giridharan et al.

shapes tool probes. The four different FSW constraints involved while the combination of the materials, such as tool rotational speed, welding speed, potential force to be constant, and the weld quality was studied. The different pin proﬁles are used in FSW such as straight cylindrical probe and taper pin shapes, and the taper tool probe produces sufﬁcient tensile strength and rigidity value when compared to a straight cylindrical tool. In this context investigated in depth and it has identiﬁed that increasing the tool faces, it’s also increasing the properties of the tested samples. The taper pin probe gives excellent mechanical properties and also achieves superior mixing of material without any defects.

References 1. Cooper, D.R., Allwood, J.M.: The influence of deformation conditions in solid state aluminum welding process on the resulting weld strength. J. Mater. Process. Technol. 214, 2576–2592 (2014) 2. Salih, O.S., Ou, H., Sun, W., McCartney, D.G.: A review of friction stir welding of aluminum matrix composites. Mater. Des. 86, 61–71 (2015) 3. Metha, K.P., Badheka, V.J.: Effects of tool pin design on formation of effects in dissimilar friction stir welding. Innov. Autom. Mech. Eng. Procedia Technol. 23, 513–518 (2016) 4. Reza-E-Rabby, M., Reynolds, A.P.: Effect of tool pin thread forms on friction stir weldability of different aluminum alloys. Procedia Eng. ICME 90, 637–642 (2014) 5. Chen, Y.C., Liu, H., Feng, J.: Friction stir welding characteristics of different heat-treated-state 2219 aluminum alloy plates. Mater. Sci. Eng. 420, 21–25 (2006) 6. Tarannum, H., Satish Kumar, P.: Friction stir welding of aluminum 5086 alloy. Int. J. Res. Eng. Technol. (2015)

Numerical Investigation of the Behaviour of Thin-Walled Metal Tubes Under Axial Impact L. Prince Jeya Lal and S. Ramesh

Abstract Dynamic axial impact of metallic thin-walled tubes of square and circular hollow sections is performed and the impact responses of the lightweight thin tubes along with progressive deformations are simulated. Peak force, crushing modes and force dissipation ability of tubes are determined using a non-linear ﬁnite element tool Abaqus CAE. The effectiveness of Abaqus CAE as a tool to model thin tubes and to moderate experimental crash testing is presented. Study shows that concentrically arranged multiple tubes have higher energy absorption properties. Results reveal that for double tubes and steel–aluminium conﬁguration highest energy absorption is recorded. Similarly, for three tubes and aluminium–steel– aluminium conﬁguration highest energy absorption is recorded. Also simulations disclose that the inner tube influences the overall crush behaviour. Keywords Thin-walled tubes

Dynamic axial impact Energy absorption

1 Introduction Automobile sector has a drastic growth in developing countries in the past decade. Likewise, the number of fatal accidents has also been increased rapidly. Hence, safety of occupants is of great concern for an automobile engineer while designing a vehicle without compromising the vehicle efﬁciency [1]. This demands the use of lightweight high-strength structures to dissipate the high impact forces generated during a collision without sacriﬁcing fuel economy [2]. Research on energy absorbing elements under axial loading started in late 1960s and [3] derived a theory of collapse mechanism ‘concertina’ of thin circular shells. Johnson et al. [4] derived energy mitigating properties and folding mechanisms of box column. There, after many researchers contributed theories to minimize peak load and to increase energy absorption for various hollow sections considering the effects of L. Prince Jeya Lal (&) S. Ramesh Department of Mechanical Engineering, KCG College of Technology, Chennai 600 097, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_7

L. Prince Jeya Lal and S. Ramesh

friction and inertia load [5–10]. Instead of empty hollow sections, it was ﬁlled with wood and foam, and then the experiments were carried out by [11, 12]. Materials like mild steel, aluminium and magnesium alloys were used to manufacture energy absorbing elements in the form of hollow sections and their impact responses were determined [13, 14]. However, the studies were experimental but [15] simulated the axial crushing of tubular structure using FE code Abaqus explicit 5.8–8. Multiple quasi-static experiments were carried out and the same were simulated. Satisfactory agreement was obtained between experiments and simulations. Likewise, [16] used explicit FEM code DYNA3D to simulate the collapse mode and crash strength of cylindrical shaped hat sections. Numerical simulations were effective, accurate and economical with respect to time and cost and this paved way for the development of new material models [17]. New concepts like those that composite tubes and composite frusta were proposed by [12]. Khalid [18] analyzed the effect of introducing triggering mechanisms experimentally and numerically. The technique of using multiple tubes of same material having various diameters arranged concentrically but separated from each other at equal distance gave superior results compared to single tube and altered the deformation mechanisms under axial loading [19]. Literature reveals that behaviour of different metallic tubes under dynamic axial loading is yet to be studied in detail. The objective of this simulation is to predict the peak load, crushing behaviour and force mitigating ability of thin wall lightweight bimetallic tubes for various conﬁgurations.

2 Materials and Methods 2.1

Conﬁguration I

Figure 1 and Table 1.

Fig. 1 Tube conﬁguration I Table 1 Impact sequence for concentric circular tubes separated by 10 mm Simulation number

Impactor mass and velocity

Tube sequence

Tube 1 Tube 2 Tube 3

60 kg and 10 m/s

Steel–aluminium Aluminium–magnesium Steel–magnesium

Numerical Investigation of the Behaviour of Thin-Walled Metal …

Fig. 2 Tube conﬁguration II

Table 2 Impact sequence for square tubes separated by 10 mm Simulation number

Impactor mass and velocity

Tube sequence

Tube Tube Tube Tube

500 kg and 20 m/s

Magnesium–steel–magnesium Aluminium–steel–aluminium Aluminium–magnesium–aluminium Magnesium–aluminium–magnesium

2.2

4 5 6 7

Conﬁguration II

Figure 2 and Table 2.

3 FEA Model Element type, mesh size and material model influence the accuracy of simulations to great extent. The tubes are modelled as double and multiple tubes using section manager. Thickness of each tube and number of intermediate integration points are speciﬁed in property module. Tubes are assigned with hourglass control and reduced integration 4 node thin shell S4R element. The overall accuracy of the simulations can be improved by doing a mesh sensitivity analysis. A ﬁne mesh is applied to the model and effort is taken to maintain aspect ratio close to one. The tube is crushed between two rigid plates. Lower plate is modelled as a discrete rigid part and all the degrees of freedom are constrained. In order to avoid slipping of the tube during impact, tie constraint is used to hold the tube in its place along with the lower plate. Upper plate termed as impactor is also modelled as a discrete rigid part with mass and is constrained in such a way that it moves only in vertical downward direction. During impact, upper plate comes in contact with the tube and this interaction is deﬁned by mechanical contact. A ﬁeld output request is created to

L. Prince Jeya Lal and S. Ramesh

Fig. 3 FEA model

compute reaction forces and spatial displacements and from this total energy absorbed is determined. Only two levels of headings should be numbered. Lower-level headings remain unnumbered; they are formatted as run-in headings (Fig. 3).

4 Results and Discussion 4.1

Conﬁguration I Simulations

Figures 4, 5, 6 and 7.

4.2

Conﬁguration II Simulations

Figures 8, 9, 10, 11, 12 and Tables 3, 4. The results of conﬁguration I are compared with [19]. It is clearly visible from the deformation images of tubes 1 and 3 that the outer steel tube deforms in concertina mode with deformation starting from top region and moving downward with the folds getting pressed into each other, thus resulting in rise in resistance to

Numerical Investigation of the Behaviour of Thin-Walled Metal …

Fig. 4 Simulated image of deformation for tube 1

Fig. 5 Simulated image of deformation for tube 2

Fig. 6 Simulated image of deformation for tube 3

Fig. 7 Collapse modes for conﬁguration I

Fig. 8 Simulated image of deformation for tube 4

Fig. 9 Simulated image of deformation for tube 5

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Numerical Investigation of the Behaviour of Thin-Walled Metal …

Fig. 10 Simulated image of deformation for tube 6

Fig. 11 Simulated image of deformation for tube 7

Fig. 12 Collapse modes for conﬁguration II

deformation. It is to be noted that aluminium collapsed with concentrina mode when it was inner tube but its collapse mode changed to diamond mode when it was placed as outer tube. It is to be noted that the ﬁrst fold propagates outwards, which results in increase in diameter. 1 mm thick Al 6061 T6 and AZ31B tubes crushed

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Table 3 Energy absorption and peak load for conﬁguration I Tube

1 2 3

Material

Peak load (kN)

Outer tube

Inner tube

Numerical

Energy absorbed (kJ) (deformation for Ld = 60 mm) Numerical

A36 Al6061 A36

Al6061 AZ31B AZ31B

60.83 43.10 56.0

2.08 1.66 2.04

Table 4 Energy absorption and peak load for conﬁguration II Tube

4 5 6 7

Crushing mode

Peak load (kN)

Numerical

Energy absorbed (kJ) (Deformation up to 60 mm) Numerical Literature

Euler buckling mode Concentrina Concentrina Mixed

315.11 411.65 239.085 249.23

10.14 10.62 8.5 9.37

1.073 [21]

under diamond mode but energy absorption per unit mass compared with the other materials were poor [20]. The results of conﬁguration II are compared with [21]. In numerical simulations, steel tubes collapsed with symmetric or concentrina mode and in experimental also the mode was same. Likewise, aluminium tubes collapsed with diamond mode in numerical analysis and literature also reveals the same. Tube no. 4 for the conﬁguration of aluminium–steel–aluminium has higher energy absorption, peak load than all the other tubes, and undergo concentrina collapse mode. Tube no. 6 for the conﬁguration of aluminium–magnesium–aluminium has the lowest peak load and energy absorption. Likewise, in tube no. 7, the energy absorption is lesser than tubes 4, 5.

5 Conclusion Crash response of double and multiple thin-walled bare tubes of circular and square proﬁles with no trigger mechanisms are simulated. Seven simulations have been carried out in order to moderate the experimental tests. Collapse modes, peak force and energy absorption properties are studied. The collapse modes were predicted using numerical simulations and compared with literature. It is to be noted that steel and aluminium tubes collapsed with concentrina or symmetric mode. It is found that the peak load and energy absorption are lesser in the tubes having magnesium tubes in the inner side. In this investigation, metallic tubes of circular and square

Numerical Investigation of the Behaviour of Thin-Walled Metal …

proﬁle are arranged concentrically and it is presented that the energy absorption properties of tubes can be modiﬁed. Numerical simulations predict that for double tubes and steel–aluminium conﬁguration highest energy absorption is recorded. Similarly, for three tubes and aluminium–steel–aluminium conﬁguration highest energy absorption is recorded. Collapse mechanisms illustrate that magnesium tubes as combined with steel or aluminium tubes bring down the peak load. Also from this numerical investigation, it can be concluded that the inner tube influences the overall crush behaviour.

References 1. Guoxing, L., Tongxi, Y.: Energy Absorption of Structures and Materials, pp. 1–23. Woodhead Publishing Limited (2003) 2. Alghamdi, A.: Collapsible impact energy absorbers: an overview. Thin Wall. Struct. 239, 189–213 (2001) 3. Alexander, J.M.: An approximate analysis of the collapse of thin cylindrical shells under axial load. Q. J. Mech. Appl. Math. 13, 10–15 (1969) 4. Johnson, W., Soden, P.D., Al-Hassani, S.T.S.: In extensional collapse of thin-walled tubes under axial compression. J. Strain Anal. 12, 317–330 (1977) 5. Al Hassani, S.T.S., Johnson, W., Lowe, W.T.: Characteristics of inversion tubes under axial loading. J. Mech. Eng. Sci. 14, 370–381 (1972) 6. Wierzbicki, T.: Crushing analysis of metal honeycombs. MIT Report 83-1 (1983) 7. Abramowicz, W., Jones, N.: Dynamic axial crushing of square tubes. Int. J. Impact Eng. 2(2), 179–208 (1984) 8. Abramowicz, W., Jones, N.: Dynamic progressive buckling of circular and square tubes. Int. J. Impact Eng. 4(4), 243–270 (1986) 9. Mamalis, A.G., Manolakos, D.E., Viegelahn, G.L., Vaxevanidis, N.M., Johnson, W.: On the in-extensional axial collapse of thin PVC conical shells. Int. J. Mech. Sci. 28, 323–335 (1986) 10. Karagiozova, D., Jones, N.: Inertia effects in axi-symmetrically deformed cylindrical shells under axial impact. Int. J. Impact Eng. 24, 1083–1115 (2000) 11. Abramowicz, W., Wierzbicki, T.: Axial crushing of foam-ﬁlled columns. Int. J. Mech. Sci. 30, 263–271 (1988) 12. Gupta, N.K., Velmurugan, R.: Axial compression of empty and foam ﬁlled composite conical shells. J. Compos. Mater. 33, 567–591 (1999) 13. Tarlochan, F.: Design of thin wall structures for energy absorption applications: enhancement of crashworthiness due to axial and oblique impact forces. Thin Wall. Struct. 71, 7–17 (2013) 14. Steglich, D., Tian, X., Bohlen, J., Riekehr, S., Kashaev, N., Kainer, K.U., Huber, N.: Experimental and numerical crushing analyses of thin-walled magnesium proﬁles. Int. J. Crashworthiness 20, 177–190 (2015) 15. Aljawi, A.A.N.: Finite element and experimental analysis of axially compressed plastic tubes. Belgium Soc. Mech. Environ. Eng. 45, 3–10 (2000) 16. Yamash*ta, M., Gotoh, M., Sawairi, Y.: A numerical simulation of axial crushing of tubular strengthening structures with various hat-shaped cross-sections of various materials. Key Eng. Mater. 193, 233–236 (2003) 17. Feng, F.: A constitutive and fracture model for AZ31B magnesium alloy in the tensile state. Mater. Sci. Eng., A 594, 334–343 (2014)

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18. Khalid, K.S.: Examine bi-metallic rectangular thin walled tube under different trigger mechanisms. Adv. Mater. Sci. 1, 4–8 (2016) 19. Goel, M.D.: Deformation energy absorption and crushing behavior of single, double and multi-wall foam ﬁlled square and circular tubes. Thin Wall. Struct. 90, 1–11 (2015) 20. Beggs, P.D.: Failure modes during uniaxial deformation of magnesium alloy AZ31B tubes. Int. J. Mech. Sci. 52, 1634–1645 (2010) 21. Goel, M.D.: Numerical investigation of the axial impact loading behavior of single, double and stiffened circular tubes. Int. J. Crashworthiness 1–10 (2015)

Improving Process Performance with World-Class Manufacturing Technique: A Case in Tea Packaging Industry Vishal Naranje, Anand Naranje and Sachin Salunkhe

Abstract There is no doubt that the world-class manufacturing offers a vast variety of economic development opportunities and plays a vital role in rapid economic changes, productivity improvement, and international competitiveness enhancement for developing countries. In this paper, a WCM methodology has been applied to tea packing process to minimize the defects occurred in the current process. It consists of various quality control tools such as Pareto analysis, 5W + 1H analysis, brainstorming, why-why analysis. After implementation of this methodology, a better control over the process has been obtained. Detailed analysis of root cause results into the permanent solution to the problem which reduces defects and improves proﬁt of the company. Keywords World-class manufacturing improvement

Quality control tools Productivity

V. Naranje (&) Department of Mechanical Engineering, Amity University Dubai Campus, Dubai, UAE e-mail: [emailprotected] A. Naranje Adarsha Science, J.B. Arts and Birla Commerce Mahavidyalaya, Dhamangaon, Rly. Amravati, India e-mail: [emailprotected] S. Salunkhe Department of Mechanical Engineering, Vel Tech-Technical University, Chennai, Tamil Nadu, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_8

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1 Introduction Manufacturing has evolved considerably since the advent of industrial revolution. In current global and competitive age, it is very important for organization to have manufacturing practice which is lean, efﬁcient, cost-effective, and flexible. To be competitive in the market, the process industries must have various kind of flexibility in terms of production, volume, and schedule so that it will fulﬁll maximum number of customer requirements. In the year 1986, Japanese professional Schonberger introduced the term “World Class Manufacturing” which consist of many techniques and technologies designed to enable a company to match its best competitors. World-class manufacturing sets standard for production and manufacturing for another organization to follow, which helps to increased competitiveness, development of new and improved technology and innovation, increased flexibility, increased communication between management and production employees, and an increase in work quality and workforce, etc. Many industries such as automobile, electronics and steel, cement industries successfully implemented the WCM practice to perform at a best-on-class in all levels. A considerable research work has been carried out in process improvement through applying WCM standards. A brief review of some selected references on this topic is presented here. These main impetuses have lead people and associations to welcome the signiﬁcance of world-class manufacturing WCM [1]. Since the worldwide contenders working in worldwide markets quite often tend to have world-class execution [2], nonstop change has turned into a need for the survival of organizations in a much-focused condition on the planet. Nearby rivalry bit by bit loses its legitimacy, on the grounds that even the most distant organizations are compelled to contend. For every one of the reasons, it is insufﬁcient to create at required quality for organizations; they ought to likewise have a sorted-out structure suitable to the generation framework created [3]. Many organizations are going to the acknowledgment that their survival relies on upon the ability to deal with the creation as a chief key capacity [4]. In this unique situation, WCM is a guide for organizations. Truth be told, just like the case with numerous other new ideas in administration, there is no predictable meaning of WCM. The expression “world class” was began by Hayes and Wheelwright [5] to portray the abilities which had been created by some Japanese and German organizations, and in addition the US ﬁrms, which had contended similarly with the Japanese and German ﬁrms. The expression “world class assembling” was utilized in light of the fact that these organizations have accomplished a remarkable execution in their worldwide rivalry, bringing about their being portrayed as “World Class” [6]. World-class fabricating (WCM) was characterized at ﬁrst by Hayes and Wheelwright [5] and Schonberger [7] as a focused methodology utilizing the accepted procedures in quality, lean creation, and simultaneous designing [8]. Schonberger [7], building up the idea of WCM, concentrated on persistent change, including the advancement of provider connections, item outline and JIT. Gunn [9] gives a solid accentuation on the part of innovation in world-class producing, while Hall [10] stresses that world-class assembling is an in a general sense distinctive method for working an association, as opposed to an

Improving Process Performance with World-Class Manufacturing …

arrangement of systems see quality and the client as the essential concentration of world-class producing, upheld by a blend of assembling system and capacities, administration approaches, authoritative elements, human resources, innovation and execution estimation [11]. Hanson and Voss [12] see world-class producing regarding practice and execution. They characterize world class as having best practice in complete quality, simultaneous designing, lean generation, producing frameworks, coordination’s and association and practice. Moreover, it is having operational execution measuring up to or outperforming best worldwide organizations [13]. In spite of the fact that the words might be revised and show up in an unexpected way, the message is essentially the same—WCM is worried with the opposition between the best producers on the planet [14]. As a typical theory concentrating on generation right off the bat, WCM incorporates more auxiliary changes, for example, new creation advancements, and both just-in-time—JIT and total quality management— TQM. WCM, changing states of mind and convictions, gives a mix between reacting quickly to client requests and a high level of client center [15]. WCM ﬁgures out which set of exercises should be embraced by distinguishing what is required by the organizations keeping in mind the end goal to contend all inclusive. Additionally, WCM itself includes many elements efﬁciently identiﬁed with advancement, for example, crude materials, vitality, apparatus, work and administration. Besides, world-class organizations streamline the critical thinking capacities of their representatives in applying both current strategies and conventional building process [16]. Being the best on the planet at assembling, an out-of-date item does not make an association world class. Progressively turbulent undertaking situations, portrayed by truncated item life cycles and divided buyer markets, require world-class producers to be sufﬁciently adaptable to fulﬁll changing business sector requests [17]. WCM organizations are those organizations which persistently beat the business’ worldwide accepted procedures, and personally know their clients and providers and in addition knowing their rivals’ exhibitions and knowing their own particular qualities and shortcomings. The greater part of the qualities above frames the premise of—consistently changing—aggressive procedures and execution destinations [18]. Receiving compelling administration rehearses, equipped for keeping pace with the changing mechanical condition, is especially essential to achievement in worldwide markets. WCM requires consistent change since world principles always show signs of change [17]. Organizations occupied with WCM rehearses concentrate on enhancing operations, end of waste, overseeing client connections, making lean associations and executing green practices, among others [19]. World-class undertakings incorporate both aggregate quality and attributes of learning associations [20]. Such upgrades cannot be accomplished with customary techniques. They require on a very basic-level re-examining and drastically upgrading business procedures and practices. This is the substance of world-class execution [21]. Thus, banding together with an association with world-class capacities can offer access to innovation, devices, and systems that the association may not as of now have; more organized philosophies, strategies, and documentation; and an upper hand through extended aptitudes [22]. Successfully overseeing and measuring the item improvement process is generally observed as a method for guaranteeing business survival through

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diminished time to advertise, expanded quality, and decreased expenses. There is generally next to no data accessible to directors to guide them on acquainting execution measures with help with item improvement [23]. An issue which is basic to endeavors to characterize the idea of world-class manufacturing is the manner by which to decipher the measures inside the working setting of the ﬁrm [24]. Writing on the execution measures of world-class assembling is extremely constrained. The main purpose behind this could be the way that no single best practice structure exists for the usage of world-class fabricating standards, as every system will require the formation of various execution measures. The main basic components that could be recognized from the writing are cost, quality, and unwavering quality/throughput. The principle point of world-class assembling is the quest for most extreme proﬁciency for the creation framework to amplify the association’s beneﬁt [25]. The aim of this work is to present establishments of the basic model of world-class manufacturing (WCM) quality management for the improving process performance in tea packing industry in order to make products of the highest quality eliminating losses in all the factory ﬁelds an improvement of work standards. The topics covered in the paper are detailed analysis of the upper transport wheel to improve the quality of product (quality control), elimination of non-value-added activities (NVAA), etc. The work covers various departments such as focused improvement, professional maintenance, and quality control. The activities observed in the production area are classiﬁed as NVAA, SVAA or VAA. Analysis and elimination of MURI, MURA and MUDA focuses over the operation of work and have the objective to describe all movements that can generate negative impact over the quality, the cost, the safety, and health of people.

2 Statement of the Problem and Methodology The aim of the project is to reduce the losses that occurred when the upper transportation wheel is not picked up by the bag removal and it continues its journey; this results in overlapping of tea bag with another tea bag; this error is known as bag overrun. This is occurred because of tea bag top not formed correctly, bag not stapled correctly, or threads are not cut properly.

2.1

Research Objectives

Regarding the above problem, the objectives of this study are as follows: – Determine the signiﬁcant factors that are responsible for tea bag overrun. This may lead to reduce process cycle time and operation cost. In addition to the throughput or productivity of the system can be increased.

Improving Process Performance with World-Class Manufacturing …

– Develop new design of upper transportation wheel and ﬁnd the appropriate setting for input data that give the highest productivity within the assumption and limitation of the company.

2.2

Methodology

A methodology is formulated to accomplish the objectives. This will form the guideline, and it will result into the minimization of defects occurring with current tea packaging process. The methodology is as follows. The ﬁrst step is to map the current tea packaging process using suitable tool. In the proposed work, blender software and high-speed videos are used to model and record the complete process. The various stages of the of tea making processes such as withering, crushing, drying, milling, blending, measuring, tea bag assembly has been modeled and animated to get the clearer understanding of a process. This process mapping helps to identify bottlenecks, repetition, and delays in tea packing process; also it helps to visualize and gain complete understanding of the process. The next step is to carry out defect analysis to identify major defects those are contributing in major rejection percentage. For this, Pareto chart and 5W + 1H analysis has been used. This analysis will help to ﬁnd out 20% of defects that will generate 80% of loss. Based on the Pareto principle of 80/20 rule, in tea bag packing process, it is found that minor stoppage is the rank ﬁrst defects causes the loss as 13.00% of total loss, then contamination source in rank second cause causing loss of 10.00% of total loss, then non-value added activity (NVAA) ranked as third and responsible for loss of another 10% of total loss. The other factors such as maintenance time, no production orders, bank holidays, energy breakdown, quality defect, indirect planned stoppage time are also responsible for losses. These are the “vital few” factors that cause 81% of total loss to revenue in the tea packing process. Figure 1 shows the Pareto chart for losses versus defects responsible for losses.

Fig. 1 Overall loss due to various quality defects in the process

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5W (what, which, who, when, and where) + 1H (how) analysis: 5W + 1H (who, what, where, when, why, how) is a method of asking questions about a process or a problem taken up for improvement. Four of the W’s (who, what, where, when) and the one H is used to comprehend for details, analyze inferences and judgment to get to the fundamental facts and guide statements to get to the abstraction. The last W (why) is often asked ﬁve times so that one can drill down to get to the core of a problem. 5W1H of six sigma explains the approach to be followed by exactly understanding and analyzing the process, project or a problem for improvement. Figure 2 shows the analysis has been carried out using 5W + 1H techniques. The defects caused due to Bag overrun in tea packaging process were analyzed using a simulation software. When the tea bag in the upper transport wheel is not picked up by the bag removal and it continues its journey up the upper transport wheel, it causes an error known as bag overrun. Figure 3 shows a tea bag overlapping another tea bag, in the upper transport wheel, caused by a bag overrun. To understand and solve quality defects associated with bag overrun problem, it was decided to study the working of upper transportation wheel (Fig. 4) and identify the causes for bag overrun problem. In UTW, ﬁve tasks will be completed. First in the paper tube folding station (1) the ﬁlter paper with the heap of tea is folded to form a tube and the seam is crimped. The tube is transferred by transport rollers to the paper tube knife station (2) to cut the tea bag of speciﬁed length. The ten lower knives of the upper transport wheel function as supports for the paper tube knife. The upper transport wheel (3) also has the following functions: (a) The cut tube sections are taken over by the right flap and transported under the cover (4). (b) In the functional unit with the bottom folder subassembly, the bottom fold in the tea bag is made on the folding wedge (5). (c) As the other stations move, the head fold pusher on the left flap changes its position and holds the top of the tea bag in position. The movements of the flaps, bottom folding wedge, and head fold pusher are controlled by cams. The transport wheel is driven continuously by gears. The complete process of UTW has been modeled using CATIA software. The model has been simulated to see the working of the upper transportation wheel. It was found that during the operation of UTW, tea bag was not picked up by the bag removal unit and it continues up its journey up the UTW, which results in tea bag overlapping another tea bag. This problem contributes around 70% of total quality defects. It is found that it occurs mainly because of three reasons (1) top fold not formed correctly (2) bag not stapled correctly (3) thread not cut. Out of the above-mentioned problems, the problem related to top fold not formed correctly has been solved successfully. To completely eliminate the remaining two problems, i.e., bag not stapled correctly and thread not cut, point process analysis (PPA) has been carried out for staple wire guiding assembly. The details of this analysis are shown in Table 1. After analysis, it was found that the above two problems occur because the frictional force is inhibiting the movement of the aluminum wire causing buildup of shavings at the wire guide plate. We analyze the amount of shavings generated at various time periods. Figure 5 shows the buildup of aluminum shavings at the entry and exit point of the wire guide plate. Further calculation has also been carried out

Improving Process Performance with World-Class Manufacturing …

Fig. 2 a Analysis using 5W + 1H technique (what), b analysis using 5W + 1H technique (when), c analysis using 5W + 1H technique (which), d analysis using 5W + 1H technique (who), e analysis using 5W + 1H techniques (where), f analysis using 5W + 1H technique (how)

Fig. 2 (continued)

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Improving Process Performance with World-Class Manufacturing …

Fig. 2 (continued)

Fig. 3 A tea bag overlapping another tea bag

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Fig. 4 Upper transport wheel

Table 1 Analysis of process point for staple wire guiding assembly Sr. no.

Particulars

Details

Purpose

2 3

Components Principle

Operating standards

To guide staple wire toward the guide plate where it is pushed toward the anvil Wire guide plate, insert, angle, guide block, bending die, guide plate A canal of 0.75 mm width accommodates the wire of 0.5 mm diameter into the guide block where it is cut and bent to form the staple For the correct wire length, the start of the wire must be approx. 1–2 mm inside the guide plate. Wire diameter must be in range of 0.5 ± 0.2 mm and material to be use is AlMg3

to know the amount of draw force and friction coefﬁcient on the surface of wire guide plate. The details of calculation are given below. Draw force calculations for the wire guide plate Entry and exit points: The point where the wire enters and exits the wire guide plate. To calculate the draw force, we use the equation rzf =Y ¼ ½ð1 þ BÞ ð1 ð1 rÞBÞ=B rzf Forward tension Y Yield stress r Reduction in cross-sectional area

Improving Process Performance with World-Class Manufacturing …

(a)

(b)

(c)

Fig. 5 a Buildup of aluminum shavings of wire guide plate, b deposition of Al shaving entry wire point guide plate, c deposition of Al shaving of exit point of wire guide plate

r ¼ 1 ðDf 2 Di2 Þ ¼ 1 ð52 4:92 Þ ¼ 0:0396 B ¼ l cot a ¼ ð0:6Þ cotð5 Þ ¼ 6:85 Using the above equation in this case, rzf =Y ¼ ½ð1 þ BÞ ð1 ð1 rÞBÞ=B ¼ ½ð1 þ 6:85Þ ð1 ð1 0:0396Þ6:85Þ=6:85 ¼ ½7:85 ð1 0:758Þ=6:85 ¼ ½7:85 ð0:241Þ=6:85 rzf =Y ¼ 0:277

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Nickel Plating reduces the coefficient of friction from 0.6 to 0.25

Well Lubricated canal removes the possibility of deposition of aluminum shavings

Fig. 6 Improving the lubrication by electroplating the wire guide plate

rzf =Y ¼ Ff =Y Af (Ff—draw force, Y—yield stress, Af—cross-sectional area) Ff ¼ 0:277 2:8 107 5 Ff = 39 N/mm2 (tensile strength—340 N/mm2) The wire is subject to a pulling force (Ff) of 39 N/mm2 Frictional coefﬁcient (µ) between dry aluminum and steel surfaces = 0.6 Frictional force (µFf) = 23.4 N/mm2 To reduce this frictional force which inhibiting the movement of the aluminum wire, it was decided to properly lubricate canal on wire guide plate that will removes the possibility of deposition of aluminum shavings and to reduce the friction coefﬁcient wire guide plate by doing nickel electroplating of wire guide plate (Fig. 6).

3 Improvements After implementing above solution, the data were collected to check the chronic and sporadic errors were eliminated or not. It is found that the error bag overrun in upper transportation wheel has been eradicated completely. Figure 7 shows not a single error reported due to bag overrun problem.

Improving Process Performance with World-Class Manufacturing …

Fig. 7 Data collection after improvement

4 Conclusion A WCM methodology has been used to identify the problem in tea packing industry. The design of upper transportation wheel has been modiﬁed to resolve the problem of tea bag overrun in UTW. Using point process analysis modiﬁcation was also done to the tea bag stapling station. Due to this, greater efﬁciency has been achieved and losses due to the minor stop phenomena have been completely eliminated. Further, NVAA analysis was applied to minimize the NVAA losses. Future developments include the extension of the WCM methodology to the entire plant.

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14. Falah Al, K., Zairi, M., Ahmed, A.: The role of supply-chain management in world-class manufacturing: an empirical study in the Saudi context. Int. J. Phys. Distrib. Logist. Manage. 33(5), 396–407 (2003) 15. Lind, J.: Control in world class manufacturing—a longitudinal case study. Manage. Account. Res. 12(1), 41–74 (2001) 16. Salaheldin, I.S., Eid, R.: The implementation of world class manufacturing techniques in Egyptian manufacturing ﬁrms: an empirical study. J. Ind. Manage. Data Syst. 107(4), 551–566 (2007) 17. Cook, J.S., Cook, L.L.: Achieving competitive advantages of advanced manufacturing technology. Benchmarking Qual. Manage. Technol. 1(2), 42–63 (1994) 18. Greene, A.: Plant-wide systems: a world class perspective. Prod. Inventory Manage. 11(7), 14–15 (1991) 19. Haleem, A., Sushil, Qadri, M.A., Kumar, S.: Analysis of critical success factors of world class manufacturing practices: an application of interpretative structural modeling and interpretative ranking process. Prod. Plan. Control Manage. Oper. 21(2), 1–13 (2012) 20. Hogetts, R.M., Luthans, F., Lee, S.M.: New paradigm organisations: from total quality to learning to world class. J. Org. Dyn. 22(3), 4–20 (1994) 21. Kearney, W.T.: A proven recipe for success: the seven elements of world-class manufacturing. Natl. Prod. Rev. 16, 67–76 (1997) 22. Ghodeswar, B., Vaidyanathan, J.: Business process outsourcing: an approach to gain access to world-class capabilities. Bus. Process Manage. J. 14(1), 23–38 (2008) 23. Driva, H., Pawar, K.S., Menon, U.: Measuring product development performance in manufacturing organizations. Int. J. Prod. Econ. 63, 147–159 (2000) 24. Harrison, A.: Manufacturing strategy and the concept of world class manufacturing. Int. J. Oper. Prod. Manage. 18(4), 397–408 (1998) 25. Mey, J.H.P.: The impact of implementing world class manufacturing on company performance: a case study of the Arcelor Mittal South Africa Saldanha Works Business Unit. Research report presented in partial fulﬁllment of the requirements for the degree of Masters of Business Administration at the University of Stellenbosch (2011)

Tensile Testing and Evaluation of 3D-Printed PLA Specimens as per ASTM D638 Type IV Standard S. Anand Kumar and Yeole Shivraj Narayan

Abstract Additive Manufacturing is playing a major role in the manufacturing of parts by providing an alternative to the existing processes. However, strength of such 3D-printed parts using speciﬁc materials is still an area of current research. Polylactic acid, a biodegradable material, is one of the compatible materials in fused deposition modelling-based 3D printing process. Researchers have primarily focused on testing of PLA material as per ASTM D638 Type I standard. In this research ASTM D638 type IV specimens printed on FDM printer using PLA material are subjected to tensile testing and then compared relatively with the simulated results. Process involves preparation of ASTM specimens in Solidworks software followed by printing using PLA material in a Makerbot 3D printer, conditioning the printed specimens and then subjecting it to tensile testing in AutoGraph AG 15 universal testing machine. CAD model of the test specimens is then subjected to tensile loads in ANSYS software to obtain simulated tensile strength and maximum deformation. Keywords Tensile testing 3D printing

Polylactic acid ASTM D638 Type IV

1 Introduction FDM is one of the most popular additive layer-by-layer manufacturing technologies capable to deliver or duplicate unsupported modern structures in one piece [1]. Additive manufacturing permits programmed creation of complex shapes with a critical decrease in assembling cost, contrasted with conventional subtractive manufacturing methods [2]. In the most recent years, the utilizing additive manufacturing has developed generously equally in volume and extension [3, 4]. Independent of the particular strategy, additive manufacturing producing brings S. Anand Kumar Y. Shivraj Narayan (&) VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad TS 500090, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_9

S. Anand Kumar and Y. Shivraj Narayan

about segments with a layer of microstructure; inside each of the layers, the direction of layers in 3D-printed parts effects the mechanical properties [5, 6]. Main principle of FDM technology is to produce parts directly from three-dimensional computer-aided design (CAD) data by using material extrusion process [7]. Three-dimensional CAD model is saved as .stl ﬁle conﬁguration and later exported to a 3D printer. The plan is then printed by the FDM printer layer-by-layer structuring a genuine product. 3D printing enables creators and designers to go from level screen to correct part [8]. FDM is an unpredictable procedure with number of parameters that impact material properties and quality of the product, and also, the mix of these parameters is frequently hard to understand [9, 10]. Printing parameters like layer thickness, feed rate, inﬁll pattern and density, raster width and angle, orientation of the part show a substantial effect on performance and quality of the FDM-printed parts [10–15].

2 Polylactic Acid Polylactic acid (PLA) is a thermoplastic polyester which can be produced from renewable resources. It is presently considered a substitute for synthetic plastic materials in food packing marketplace as its cost is moderately low and possesses superior process-ability. PLA is likely to reduce the impact on the environment due to the production and use of petrochemical polymers [16]. PLA has a larger strength and lower ductility than the traditional acrylonitrile butadiene styrene (ABS) material. PLA is a sustainable thermoplastic alternative which addresses the problem of added waste from end-users manufacturing components at home and has similar characteristics as ABS. PLA parts produced via FDM have also been of high interest to the medical ﬁeld, due to its biocompatibility in applications such as tissue engineering and custom-made patient-speciﬁc implants [17]. PLA may be

Table 1 Material properties of PLA [23–28]

Property

Unit

Value

Elongation at break Melting temperature, Tm Shear modulus, G Elastic modulus, E Rockwell hardness Yield strength, ry Flexural strength, rx Poisson’s ratio, v Ultimate tensile strength, rusd Tensile modulus Crystallinity Unnotched Izod impact

% °C MPa MPa Hr MPa MPa

7.0 130–230 1287 3500 88 70 106 0.360 73 2.7–16 37 195

MPa GPa % J/m

Tensile Testing and Evaluation of 3D-Printed PLA Specimens …

stronger over ABS, yet more fragile. PLA has a lower effect of warping due to its lower coefﬁcient of thermal expansion, which increases the adhesion of part to the printed surface and reduces cracking of the part while printing [18]. Table 1 shows the material properties of PLA material.

3 Specimen Design ASTM D638 standard procedure is adopted for evaluating the tensile behaviour of 3D-printed PLA test specimens. Solidworks software is used for modelling the geometry of the specimens as per the dimensions speciﬁed in ASTM D638 standard as shown in Fig. 1 and Table 2, respectively. Models are then saved in .stl ﬁle format as shown in Fig. 2 and then imported to the 3D printing software [19].

Fig. 1 ASTM D638 Type IV specimen [22]

Table 2 ASTM D638 Type IV specimen dimensions [22]

Dimensions

Type IV (mm)

L—Length of narrow section W—Width of narrow section LO—Length overall WO—Width overall R—Fillet radius RO—Outer radius D—Distance between grips G—Gage length

33 6 115 19 14 25 65 25

See Also

Seasonal Jobs New Zealand

S. Anand Kumar and Y. Shivraj Narayan

Fig. 2 Modelled tensile specimens

3.1

Tensile Specimen with Detailed Dimension

Figure 3 displays a schematic of tensile specimen with detailed dimensions based on the ASTM standard. A tensile specimen has augmented ﬁnishes or shoulders for grasping. The critical piece of the example is the gage area. The cross section of the gage area is reduced so deformation and distress will be restricted in this area. The gage length is the area over which estimations are made and is focused inside the decreased segment. Separations amongst ﬁnishes of the gage area and shoulders must be sufﬁciently extraordinary so that bigger closures do not oblige deformity within the gage length, and the gage length ought to be perfect with respect to its distance. Rather, the anxiety state will be more mind-boggling than straightforward pressure. Portrayals of standard example shapes are given in detail on malleable testing of particular materials.

Fig. 3 Tensile specimen with detailed dimension

Tensile Testing and Evaluation of 3D-Printed PLA Specimens …

There are different methods for holding. For example, screwing the samples into a grasp handle, it can be stuck, butt closures can also be utilized, or the hold segment may be held amid wedges. Determination of a grasping approach is made by assuring the greatest load of the specimen that is held without any slippage in the hold area, and the twisting has to be limited.

3.2

STL File of Tensile Specimen

The created 3D model using Solidworks software is saved in .stl format. Figure 4 shows the .stl ﬁle of tensile specimens. As depicted in Fig. 5, this format is

Fig. 4 .stl ﬁle of tensile specimens

Fig. 5 .stl ﬁle of tensile specimens imported to Netfabb

S. Anand Kumar and Y. Shivraj Narayan

imported into software called Netfabb, which sorts out any errors that are present in the sliced layers of the 3D model. The output is the new .stl ﬁle with minimum or no errors in the model.

4 Fabrication of Specimen 4.1

Makerbot Replicator Z18

Makerbot Industries has an online platform “Thingiverse”, where clients can transfer 3D printable records, report plans, and team up with 3D printing ventures. The site is a synergistic storehouse for conﬁguration documents utilized as a part of 3D printing, laser cutting and other DIY producing forms. Additive Manufacturing (AM) makes a 3D model in which the ﬁlament is combined in a layer form using codes generated by the software to make a part, with material being included, (e.g. fluid particles or powder grains) being intertwined. Different geometry or proﬁle can be delivered utilizing computerized data from a 3D display source, for example additive manufacturing ﬁle (AMF) ﬁle (typically in successive layers). Stereolithography (.stl) is a standout amongst the most well-known document sorts that is utilized for 3D printing. Most of the ﬁfth-generation Makerbot 3D printers use a document type of .makerbot to send the guidelines to printer for model to be built. Makerbot desktop software naturally changes any type of 3D printable format to .makerbot ﬁle for its convenience, which contains the guidelines for the print like extruder path, rasters and temperature. .stl and .obj are ﬁle sorts utilized for 3D printable models in Makerbot 3D printers. .thing documents are a method for sparing courses of action and settings for 3D models (Figs. 6 and 7).

4.2

STL

A standard tessellation language (STL) is a generally utilized 3D model ﬁle format. It comprises of surfaces which are composed of triangles. Every triangle has an inward side and an external side. External side is known as ‘normal’. In an all-around framed stl, everyone of the normal’s confronting outward and the surface is nonstop, without any gaps. At the point when these guidelines are met by a model, it is alluded to as complex .stl’s containing normal’s that face inwards (modiﬁed normals) might be able to print; however, complex models are commonly viewed as obligatory for 3D printing. .stl is now compatible with most of the 3D modelling software’s and became a standard for 3D printing models. Table 3 shows the parameter values that are used in 3D printing and Fig. 8 shows the 3D printed specimens.

Tensile Testing and Evaluation of 3D-Printed PLA Specimens …

Fig. 6 Makerbot Replicator Z18

Fig. 7 .stl ﬁle imported to makerware software

S. Anand Kumar and Y. Shivraj Narayan

Table 3 3D printing parameter values Parameters

Values

Layer height (mm) Feed rate (mm/s) Extruder temperature (°C) Bed temperature (°C) Number of shells Inﬁll density (%)

0.3 150 230 110 2 100

Fig. 8 3D-printed tensile specimen

Makerbot Replicator Z18 3D printer with Makerbot PLA material is used to print the specimens for conducting tensile tests.

5 Experimental Procedure 3D-printed PLA specimens conditioned as per ASTM D618-13 [29] are tested experimentally for tensile strength on a universal testing machine (UTM) in specimen preparation laboratory at Central Institute of Plastic Engineering and Technology, Hyderabad. Figure 9 depicts UTM used for testing specimens. Tensile properties measurement is carried out on Shimadzu Japan make UTM machine whose speciﬁcations are given in Table 4. AutoGraph AG 15 UTM has a grip attachment distance of 33 mm. A load of 5.0 kN at a constant speed of 5 mm/min is applied. Test specimens are prepared in compliance with ASTM D638 Type IV standard. Sample width and thickness are measured for individual specimens [20]. Specimens are placed in the UTM with the help of grippers, and a gradual load is applied on the specimens until failure, and the resultant loads are noted down for every single specimen thus obtaining the tensile loads for every specimen.

Tensile Testing and Evaluation of 3D-Printed PLA Specimens …

Fig. 9 Universal testing machine. Source CIPET, Hyderabad

Table 4 Speciﬁcations of UTM Identiﬁcation

CHYD/PTC/UTM/3

Model no. Range Accuracy Location Make Applicable test

AutoGraph AG 14 0–50 kN 0.01 N Specimen preparation laboratory Shimadzu Japan Tensile, compressive, flexural, tear, shear, elongation and modulus

6 Analysis of Specimens Simulations are carried out in static structural analysis mode with one end ﬁxed in ANSYS 16.2 software.

6.1

Stress Analysis of Tensile Specimen

Stress analysis is carried out on the tensile test specimen with different loads acting on the specimen as shown in Fig. 10. The stress is induced in the specimen after the application of tensile load. Minimum and maximum values are obtained. Gauge length has high stress values when compared to the other regions of the specimen due to plastic flow or slippage

S. Anand Kumar and Y. Shivraj Narayan

Fig. 10 Stress versus load graph of the analyzed tensile specimens

Fig. 11 Maximum stress obtained in the tested tensile specimens

Fig. 12 Minimum stress obtained in the tested tensile specimens

along molecular slip planes when load is applied beyond elastic limit shown in Figs. 11 and 12, respectively. Table 5 shows the maximum and minimum equivalent stress obtained when the relevant load is applied on the specimen.

Tensile Testing and Evaluation of 3D-Printed PLA Specimens …

Table 5 Results of stress analysis of tensile specimens Load (N) 1489.53 1391.02 1317.03 1428.67 1421.48

Minimum equivalent stress (N/mm2) 7

1.2097e 1.1297e7 1.0696e7 1.1603e7 1.1544e7

Maximum equivalent stress (N/mm2) 6.6285e7 6.1901e7 5.8609e7 6.3577e7 6.3257e7

The minimum equivalent stress is observed for the load of 1317.03 N, and maximum equivalent load is observed for load of 1428.67 N. The von-misses stress values of tensile specimen at various loads are as shown in Fig. 10. As different loads are applied on the specimen, different behaviour is observed. The graph gives a clear variation of stress versus load behaviour for particular loads acting on the specimen.

6.2

Deformation Analysis of Tensile Specimen

Deformation analysis is carried out on the tensile test specimen with different loads acting on the specimen as shown in Fig. 13. The deformation is induced on the specimen after the application of tensile load. Minimum and maximum values are obtained. Table 6 shows various maximum and minimum deformation values for different loads acting on the specimen. Due to the applied load and work done by external forces acting on the specimen, large deformation is observed as shown and is indicated in red colour shown in Figs. 14 and 15, respectively. Maximum deformation is observed for the load of 1428.67 N. The deformation values of tensile specimen at different loads are as shown in Fig. 13. Fig. 13 Deformation versus load graph of the analyzed tensile specimens

S. Anand Kumar and Y. Shivraj Narayan

Table 6 Result of deformation analysis of tensile specimens Load (N)

Minimum deformation (mm)

Maximum deformation (mm)

1489.53 1391.02 1317.03 1428.67 1421.48

0 0 0 0 0

2336.2 2241.1 2149.5 2438 2282.6

Fig. 14 Maximum deformation obtained from the tested tensile specimens

Fig. 15 Minimum deformation obtained from the tested tensile specimens

Tensile Testing and Evaluation of 3D-Printed PLA Specimens …

Fig. 16 Strain versus load graph of the analyzed tensile specimens

Table 7 Result of strain analysis of tensile specimens

6.3

Load (N)

Minimum elastic strain

Maximum elastic strain

1489.53 1391.02 1317.03 1428.67 1421.48

6641.5 6371.1 6110.6 6930.9 6489

35,534 34,087 32,693 37,082 34,718

Strain Analysis of Tensile Specimen

Strain analysis is carried out on the tensile test specimen with different loads acting on the specimen as shown in Fig. 16. The strain is induced in the specimen after the application of tensile load. Minimum and maximum values obtained of the specimen at different loads are shown in Table 7. Strain at 1428.67 N is high in gauge length when compared to the other regions of the specimen due to reason that there is an increment in the length of specimen and decrease in the cross-sectional area of the specimen as shown in Figs. 17 and 18. Minimum elastic strain is seen for load of 1317.03 N, and maximum elastic strain is observed for load of 1428.67 N.

7 Results As seen in Fig. 19, the behaviour of specimens under different loading conditions on the universal testing machine is depicted. It is observed that all the specimens except specimen 3 followed a similar pattern. Specimen 3, when subjected to a load of 1317.03 N, failed abruptly due to the fragility of the material. Figure 20 shows the failure of tensile specimens when subjected to different on AutoGraph AG 15 Universal Testing Machine. Maximum displacement, maximum stress, maximum strain and modulus obtained under tensile testing are illustrated in Table 8.

S. Anand Kumar and Y. Shivraj Narayan

Fig. 17 Maximum strain obtained from the tested tensile specimens

Fig. 18 Minimum strain obtained from the tested tensile specimens

Fig. 19 Force versus stroke graph of the tested tensile specimens

Tensile Testing and Evaluation of 3D-Printed PLA Specimens …

Fig. 20 Tested tensile specimens

Table 8 Tensile test values Parameters Units

Max force (N)

Max displacement (mm)

Max stress (N/mm2)

Max strain (%)

Modulus (N/mm2)

1 2 3 4 5 Mean

1489.53 1391.02 1317.03 1428.67 1421.48 1409.55

2.2600 2.3100 2.2430 2.49400 2.3050 2.3224

54.4634 51.5430 48.7638 52.6486 52.7970 52.0432

5.6500 5.7750 5.6075 6.2350 5.7625 5.8060

1865.52 1816.07 1792.79 1714.58 1822.14 1802.22

8 Conclusion This paper presents the evaluation of tensile strength of ASTM D638 Type IV specimens of PLA material additively manufactured using FDM-based Makerbot desktop 3D printer and its simulation in ANSYS software. Following results are observed: • Maximum 1489.53 N • Maximum 1428.67 N

stress of 63.577 and 54.46 N/mm2 is observed for a load of under simulated and UTM testing, respectively. deformation of 2.336 and 2.4940 mm is attained for a load of under simulated and UTM testing, respectively.

S. Anand Kumar and Y. Shivraj Narayan

• Maximum elastic strain of 4.06 and 6.23% is observed for load of 1428.67 under simulated and UTM testing, respectively. • The obtained tensile strength of 54.46 N/mm2 is similar to that of the results obtained by other researchers reported in [18] and [21]. • Behaviour of specimen 3 is found to be different with respect to other specimens due to the fragility of the material which caused it to fail before reaching yield point, failing at a load of 1317.03 N. As the strength of the 3D-printed PLA specimens are almost similar to the conventionally used ones, they can be used in almost all applications ranging from packaging, agricultural, sanitary, consumer products like trays, boxes, packaging, seeding pots, boxes, containers, dinnerware, dairy containers, meat trays and many more.

References 1. Ramya, A., Vanapalli, S.L.: 3D printing technologies in various applications. Int. J. Mech. Eng. Technol. 7(3), 396–409 (2016) 2. Dimitrov, D., van Wijck, W., Schreve, K., de Beer, N.: Investigating the achievable accuracy of three dimensional printing. Rapid Prototyp. J. 12(1), 42–52 (2006) 3. Mcloughlin, L., Fryazinov, O., Moseley, M., Sanchez, M., Adzhiev, V., Comninos, P., et al.: Virtual sculpting and 3D printing for young people with disabilities. IEEE Comput. Graph. Appl. 36(1), 22–28 (2016) 4. Joshi, S.C., Sheikh, A.A.: 3D printing in aerospace and its long-term sustainability. Virtual Phys. Prototyp. 10(4), 175–185 (2015) 5. Shaffer, S., Yang, K., Vargas, J., Di Prima, M.A., Voit, W.: On reducing anisotropy in 3D printed polymers via ionizing radiation. Polymer. 55(23), 5969–5979 (2014) 6. Es-Said, O., Foyos, J., Noorani, R., Mendelson, M., Marloth, R., Pregger, B.A.: Effect of layer orientation on mechanical properties of rapid prototyped samples. Mater. Manuf. Process. 15(1), 107–122 (2000) 7. Hossain, M.S., et al.: Improving tensile mechanical properties of FDM-manufactured specimens via modifying build parameters. In: 24 Annual International Solid Freeform Fabrication Symposium, vol. 1, pp. 380–392. Austin (2013) 8. More, M.P.: 3D printing making the digital real. Int. J. Eng. Sci. Res. Technol. 2(7) (2013) 9. Casavola, C., Cazzato, A., Moramarco, V., Pappalettere, C.: Orthotropic mechanical properties of fused deposition modelling parts described by classical laminate theory. Mater. Des. 90, 453–458 (2016) 10. Mohamed, O.A., Masood, S.H., Bhowmik, J.L.: Optimization of fused deposition modeling process parameters: a review of current research and future prospects. Adv. Manuf. 3, 42–53 (2015) 11. Tymrak, B.M., Kreiger, M., Pearce, J.M.: Mechanical properties of components fabricated with open-source 3D printers under realistic environmental conditions. Mater. Des. 58, 242– 246 (2014) 12. Domingo, M., Puigriol, J.M., Garcia, A.A., Lluma, J., Borros, S., Reyes, G.: Mechanical property characterization and simulation of fused deposition modeling polycarbonate parts. Mater. Des. 83, 670–677 (2015) 13. Ning, F., Cong, W., Hu, Y., Wang, H.: Additive manufacturing of carbon ﬁber-reinforced plastic composites using fused deposition modeling: effects of process parameters on tensile properties. J. Compos. Mater. 51(4), 451–462 (2016)

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14. Lanzotti, A., Grasso, M., Staiano, G., Martorelli, M.: The impact of process parameters on mechanical properties of parts fabricated in PLA with an open-source 3D printer. Rapid Prototyp. J. 21(5), 604–617 (2015) 15. Ullu, E., Korkmaz, E., Yay, K., Ozdoganlar, O.B., Kara, L.B.: Enhancing the structural performance of additively manufactured objects through build orientation. J. Mech. Des. 137 (11), 111410–111418 (2015) 16. Fehri, S.M.K.: Thermal properties of plasticized poly (lactic acid) (PLA) containing nucleating agent. Int. J. Chem. Eng. Appl. 7(2), 85–88 (2016) 17. Gordon, A.P.: An approach for mechanical property optimization of fused deposition modeling with polylactic acid via design of experiments. Rapid Prototyp. J. 22(2), 387–404 (2016) 18. Letcher, T.: Material property testing of 3D-printed specimen in PLA on an entry-level 3D printer. In: International Mechanical Engineering Congress and Exposition 2014, IMECE, vol. 2, pp. 1–8. Montreal (2014) 19. Chacón, J.M., Caminero, M.A., García-Plaza, E., Núñez, P.J.: Additive manufacturing of PLA structures using fused deposition modelling: effect of process parameters on mechanical properties and their optimal selection (2017) 20. Eng, C.C.: Enhancement of mechanical and dynamic mechanical properties of hydrophilic nanoclay reinforced polylactic acid/polycaprolactone/oil palm mesocarp ﬁber hybrid composites. Int. J. Polym. Sci. 2014, 1–8 (2014) 21. GiitaSilverajah, V.S., Ibrahim, N.A., Zainuddin, N., Yunus, W.M.Z.W., Hassan, H.A.: Mechanical, thermal and morphological properties of poly(lactic acid)/epoxidized palm olein blend. Molecules 11729–11747 (2012) 22. ASTM Designation: D638—14 Standard Test Method for Tensile Properties of Plastics 23. Jamshidian, M., Tehrany, E.A., Imran, M., Jacquot, M., Desobry, S.: Poly-lactic acid: production, applications, nanocomposites, and release studies. Compr. Rev. Food Sci. 9(5), 552–571 (2010) 24. Bijarimi, M., Ahmad, S., Rasid, R.: Mechanical, thermal and morphological properties of PLA/PP melt blends. In: International Conference on Agriculture, Chemical and Environmental Sciences 2012, ICACES, pp. 115–117. Dubai (2012) 25. Clarinval, A., Halleux, J.: Classiﬁcation of biodegradable polymers. In: Smith, R. (ed.) Biodegradable Polymers for Industrial Applications, 1st edn. Taylor & Francis, Boca Raton, FL (2005) 26. Ashby, M.F., Johnson, K.: Materials and Design: The Art and Science of Material Selection in Product Design, 3rd edn. Butterworth-Heinemann, Oxford, UK (2013) 27. Henton, D.E., Gruber, P., Lunt, J., Randall, J.: Polylactic acid technology. In: Mohanty, A., Misra, M., Drzal, L. (eds.) Natural Fibers, Biopolymers, and Biocomposites. Taylor & Francis, Boca Raton, FL (2005) 28. Subhani, A.: Influence of the processes parameters on the properties of the polylactides based bio and eco-biomaterials. PhD thesis, National Polytechnic Institute of Toulouse (2011) 29. ASTM Designation: D618—13 Standard Practice for Conditioning Plastics for Testing

Design Optimization and Testing of Structure of a Single Door Refrigerator Nishchay Anand and S. Sivarajan

Abstract With growing demand of refrigerators, more and more raw material is required which usually leads to natural resources exploitation and increased cost of manufacturing. For a manufacturing company to remain efﬁcient, research and development becomes necessary to maintain the cost, quality, and features of the product. The aim of this work is to design optimization and testing for cost opportunity (material or process time reduction) and for increased ease of mass manufacturing which indirectly also beneﬁts in reduction of carbon footprint. To achieve this, ﬁrst the process knowledge was acquired so that the change in design could be met with the existing machinery. Next, the design study of the existing product was done to understand the purpose of the part and its structural features. Next, process involves brainstorming to generate ideas and design conceptualization, followed by design modeling and assembly in CREO/Solidworks. Design analysis of each concept generated was done in ANSYS to study them and compared with the existing design. Final design is chosen from the generated concepts on the basis of beneﬁts it offers in terms of structural strength, cost, and ease of manufacturing. Keywords Refrigerator

Structure Deck reinforcement Optimization

1 Introduction A refrigerator is a popular household appliance that consists of a thermally insulated compartment and a refrigeration system that cools the compartment space. The refrigerator cabinet in this study is from a 260 L refrigerator. It is a mature design having been in production for over ten years. Many cost reductions have been implemented over the years but never had there been a comprehensive attempt to optimize the deck reinforcement and top hinge cover. Typically, cost reductions of N. Anand S. Sivarajan (&) School of Mechanical & Building Sciences, Vellore Institute of Technology, Chennai, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_10

N. Anand and S. Sivarajan

the cabinet’s structural components have been accomplished as follows. Several concepts of deck reinforcement are built implementing the proposed changes. These products are then stiffness tested, and the results are compared to current reinforcements. If the change is small or not discernible, then the change is approved. The primary structure is a sandwich of steel on the outer surface, a foam core, and plastic inner liners. The outer steel is comprised of a wrapper with roll-formed front and rear flanges, corner bracket reinforcements, a back panel, and a deck. The bottom support structure is made from six formed sheet metal parts: front rail, back rail, two s-channels, and glider rails (left and right). The cabinet sits on four rollers that are attached to the front and back rails. The main function of the cabinet is to maintain the food in a sealed refrigerated compartment. In order to do this, the deflection must be small enough that the door seal is retained. Several attempts were made by various researchers around the globe to analyze the structures of refrigerator cabinet parts [1–5]. Deck reinforcement and pedestal assembly are analyzed in this article. Deck reinforcement purpose is to provide structural strength to avoid damage during drop, drag, etc., in various stages of the life cycle of the product (Fig. 1). It provides mounting points for CMP, pedestal, drier holder, power cord, and earthing.

Fig. 1 Image of deck reinforcement

Design Optimization and Testing of Structure …

2 Methodology The strength is important for the refrigerator cabinet. Critical parts are assembled, and their FEA is completed by using ANSYS. Initially, meshes of each part are created according to the structure. Force and boundary scenarios are determined on each part with FEM simulations. The total deformation and von Mises stresses were found for refrigerator cabinet parts. In the ﬁrst concept, the following design changes are made. Deck reinforcement plate was removed. Rib was introduced to increase structural strength. Flaring was performed for increased surface contact with screw. In the second concept, the following design changes were made. Deck reinforcement plate was removed. Flaring was done for increased surface contact with screw, and sheet thickness was kept as 0.7 mm. In the third concept, removal of deck reinforcement plate, introduction of rib to increase structural strength, and flaring for increased surface contact with screw were made. In the fourth concept, the following design changes were made. Deck reinforcement plate was removed. Flaring was done for increased surface contact with screw, mounting point for wire harness was provided for improved feasibility and sheet thickness was kept as 0.7 mm.

3 Results The deformation and von Mises stress of Concepts 1 and 2 are shown in Figs. 2, 3, 4, and 5. The results of static structural analysis of the four concepts are given in Table 1. The FEM simulation of drop test analysis is shown in Figs. 6, 7 and 8.

Fig. 2 Total deformation—Concept 1

100

Fig. 3 Equivalent stress—Concept 1

Fig. 4 Total deformation—Concept 2

N. Anand and S. Sivarajan

Design Optimization and Testing of Structure …

101

Fig. 5 Equivalent stress—Concept 2

Table 1 Results of static structural analysis Model Existing Concept Concept Concept Concept

1 2 3 4

Sheet thickness (mm)

Rib (Y/N)

Equivalent stress (MPa)

Deformation (mm)

FOS

0.9 0.9 0.7 0.7 0.7

N Y N Y N

82.923 101.71 115.43 133.99 89.356

.097 .068 .136 .082 .156

2.17 1.77 1.56 1.343 2.01

Figures 9 and 10 show the FEM simulation of the proposed design concept. The results of DFA analysis, proposed concept analysis, and drop test analysis are shown in Tables 2, 3 and 4.

4 Discussion In Concept 1, with the presence of rib, the stress gets localized; thus, the maximum equivalent stress increases and the FOS reduces below the speciﬁed limit. In Concept 2, due to the reduction of sheet thickness, the moment of inertia decreases; thus, the equivalent stress and deformation increase. The FOS is less than speciﬁed limited; thus, the model cannot be implemented. Concept 3, with the reduction in

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Fig. 6 Boundary conditions—drop test—Concept 4

Fig. 7 Equivalent stress—drop test analysis

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Fig. 8 Deformation—drop test analysis

Fig. 9 Conceptual design change in pedestal—deformation

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Fig. 10 Conceptual design change in pedestal—equivalent stress

Table 2 DFA complexity factor DFA complexity factor Existing design Proposed design Target

11.489 4.24 3.464

Table 3 Static structural analysis—conceptual design Model

Equivalent stress (MPa)

Deformation (mm)

Ultimate strength (MPa)

FOS

Conceptual design

13.066

6.855

2.53

Table 4 Drop test analysis Model

Equivalent stress (MPa)

Deformation (mm)

FOS

Concept 4

43.436

6.68

4.14

sheet thickness and addition of rib, the deformation changes marginally, but the equivalent stress increases due to stress localization. The FOS is less than speciﬁed limited; thus, the model cannot be implemented. In Concept 4, due to increase in

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contact area at the junction, the stress localization is reduced; thus, the equivalent stress is low. The FOS is above the speciﬁed limit. Thus, this model is acceptable. Introduction of rib will reduce the quality of spot weld between the deck reinforcement and the wrapper in the cabinet assembly; thus, to add rib in the reinforcement, a similar rib needs to be added in the wrapper. Addition of rib increases the moment of inertia thus reduces the bending stress, but from the above data, we can observe that if we add rib in the design, the maximum deformation reduces but the maximum equivalent stress increases. This is due to stress localization. Conceptual Model—Deck Reinforcement Incorporation of deck reinforcement, front cross-reinforcement, compressor mounting plate into a single part resulting in process time reduction. The DFA complexity factor is decreasing as the number of parts and process time reduces. As the FOS is under speciﬁed limit, the model is acceptable. The conceptual design illustrates that the deck reinforcement can even be totally eliminated by incorporating the features of CMP, deck reinforcement, front cross-reinforcement into a single part which will further beneﬁt in production and cost. But conceptual design cannot be implemented straight away as a drastic change of the product is not easily implementable. Thus, only Concept 4 is suitable. As in static structural analysis, the FOS of Concept 4 lies in the speciﬁed limit, drop test analysis was done to analyze the part during drop. The EPS base acts as a cushion while impact; thus, the equivalent stress is low. The FOS is within speciﬁed limit, i.e., 2. Thus, the model is acceptable.

5 Conclusions The design optimization and study of the deck reinforcement was done in which four concepts were made and the ﬁnal concept selection was done on the basis of cost saving, structural strength, ease of manufacturing, and quality. The ﬁnal design is flexible in terms of joining methods as spot welding and clinching both can be implemented. The beneﬁts the new design offers are reduction in sheet thickness, removal of reinforcement sheet which will reduce the process time, improvement in quality offered by increased surface area, and ease of mass manufacturing. The conceptual design illustrates that the deck reinforcement can even be totally eliminated for future development by incorporating the features of CMP, deck reinforcement, front cross-reinforcement into a single part which will further beneﬁt in production and cost. But conceptual design cannot be implemented straight away as a drastic change of the product is not easily implementable.

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References 1. Curtis, R.N.: Structural optimization of a refrigerator cabinet. In: International ANSYS Conference (2002) 2. Jeong, G.-E., Kang, P., Youn, S.-K., Yeo, I., Song, T.-H., Kim, J.O., Kim, D.W., Kuk, K.: Study of structural stiffness of refrigerator cabinet using the topology optimization of a vacuum insulated panel (VIP). J. Korean Soc. Precis. Eng. 32(8), 727–734 (2015) 3. Yuan, H., Fan, G.: Refrigerator cabinet foaming mold accurate design and manufacture based on the vacuum Deformation mechanism. In: 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (2012) 4. Emes, M.R, Hepburn, I.D., Ray, R.J., Worth, L.B.C.: Structural analysis of a cryogen-free refrigerator for space. Cryogenics 41, 771–779 (2002) 5. Youn, S.-J., Noh, Y.: Reliability-based design optimization of refrigerator door hinges using PIDO technology. Int. J. Precis. Eng. Manuf. 16(4), 715 (2015)

Use of Low-Fidelity Codes for Teaching Aircraft Design H. K. Narahari and Deepak Madhyastha

Abstract The concept of using unmanned aerial vehicles (UAVs) for aerial surveillance is acquiring lot of importance in military as well as public sectors. The use of rotary wing UAVs for surveillance has gained popularity due to the hovering capabilities. The endurance and range for the rotary wing are considerably less compared to ﬁxed-wing UAVs. The range and time span of surveillance can be remarkably improved with use of ﬁxed-wing UAVs for aerial surveillance. The present work concentrates on developing a conceptual design procedure for the ﬁxed-wing UAVs using low-ﬁdelity codes and applying the constraint diagram approach. The performance requirements of the proposed UAV were used, in current design procedure, to generate constraint diagram from which design drivers like power loading, wing loading and maximum lift coefﬁcient were obtained. The procedure is applied for the design of a ﬁxed-wing (wingspan < 3 m) conventional conﬁguration UAV with electric propulsion system. Keywords Aircraft design

Constraint diagram UAV

1 Introduction The concept of using unmanned aerial vehicles (UAVs) for aerial surveillance is acquiring lot of importance in military as well as public sectors. The use of rotary wing UAVs for surveillance has gained popularity due to their hovering capabilities. The endurance and range of the rotary wing are considerably less compared to the ﬁxed-wing UAVs. The range and time span of surveillance can be remarkably improved with the use of ﬁxed-wing UAVs for aerial surveillance. Aircraft design, as in the case of any design activity, is iterative in nature where several parameter combinations need to be tried before freezing of external shape. Low-ﬁdelity H. K. Narahari (&) D. Madhyastha Department of Automotive and Aeronautical Engineering, Faculty of Engineering and Technology, M. S. Ramaiah University of Applied Sciences, Bengaluru 560058, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_11

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computer codes like XFOIL and NASA’s OpenVSP are available in open domain and can be used during the initial conceptual design. The present work concentrates on developing a conceptual design procedure for the ﬁxed-wing UAVs, using open domain low-ﬁdelity codes and applying the constraint diagram approach. The performance requirements of the UAV developed in current design procedure were used to generate constraint diagram from which UAV design drivers like power loading, wing loading and maximum lift coefﬁcient were obtained. The wing alone and the whole UAV were analysed in low and high ﬁdelity CFD codes to conﬁrm the performance achieved.

2 Design Procedure A survey was conducted on the UAVs with wingspan less than three metres and also on those which fall under mini category of UAV classiﬁcation. With the survey data as foundation, design charts were generated. Some of the useful charts developed were maximum take-off mass versus wingspan, aspect ratio of wing versus endurance of the aircraft, etc. The charts were used to relate the performance variables to the geometric characteristics, through which the values of design variables were established. Based on the performance requirements of the mini UAV, the design procedure was initiated through the constraint diagram generation as put forward in [1, 2]. The design drivers such as wing and power loading and maximum lift coefﬁcient of the wing were obtained as outcomes of the constraint diagram. A wing geometry was generated based on the wing loading and maximum take-off mass, while the electric propulsion system components were selected based on the power loading value and sturdiness in the build quality. The selected wing aerofoil and designed wing were analysed in low and high ﬁdelity CFD codes to validate the design performance. The aerofoils were analysed in XFLR5, software based on XFOIL code and later in ANSYS FLUENT, the commercial ﬁnite volume method-based solver of RANS equations. Based on the drag polar and maximum lift coefﬁcient, an aerofoil was selected for the wing. The wing was analysed using three low-ﬁdelity codes (a) panel code (b) OpenVSP + VSAERO and (c) XFLR5 software and veriﬁed by ANSYS FLUENT software (high ﬁdelity CFD code). These results were veriﬁed by using a commercial CFD package FLUENT. The Navier–Stokes equations were solved using pressure-based solver available in ANSYS FLUENT software. The Spalart–Allmaras turbulence model was chosen to model the turbulent flow based on agreement of the numerical analysis results and the experimental ones. The Reynolds number was calculated as 217,143 based on the cruise flight conditions, which fell under turbulent flow regime. The propulsion system components were analysed in eCalc and MotoCalc, codes which are meant for analysis of the electric motor propulsion system. CAD models of the UAV subsystems, payloads and avionics were generated along with the mass properties of the corresponding components in CATIA to extract the location of

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centre of gravity of the assembled UAV and to calculate the mass moments of inertia of the same. The fuselage design was performed by placing the constituents in a compact arrangement and later wrapping with surfaces, keeping easy facilitation of fabrication in mind. The empennage design was performed based on the procedure available in [3] and the ratios available in [4]. The horizontal tail incidence angle was set by iterations performed in XFLR5 software by changing the tail setting angle to make the total moment coefﬁcient zero. The extract of the CAD model was used in creating a model of the whole aircraft in XFLR5 software for stability analysis. The stability of the aircraft was analysed analytically in a MATLAB code developed based on procedure available in [5]. The UAV was analysed for static and dynamic stability in XFLR5 software. After conﬁrmation of the stability, the whole UAV was numerically analysed in ANSYS FLUENT software to conﬁrm the performance of the UAV under cruise conditions. The boundary conditions used were similar to that used in wing analysis. The grid used for UAV analysis was unstructured grid with 2.268 million cells.

3 Results Two iterations of design were performed based on the constraint diagram approach. From the design drivers obtained from constraint diagram, wing speciﬁcations were calculated. The results are presented in Table 1. The taper ratio for the wing was changed to improve the wing-fuselage compatibility in the second iteration. The dihedral angle was incorporated in second design to improve roll stability of the UAV. The fuselage was developed entirely in CATIA, and to improve the aerodynamics, a circular boom was used to connect the

Table 1 Wing geometry obtained for design iterations

Iteration

1st

2nd

Units

Area of wing S Aspect ratio AR Span of wing b Mean aerodynamic chord c Taper ratio Root chord Cr Tip chord Ct Dihedral angle Cruise velocity Reynolds number CL required from wing at cruise

0.7213 7 2.2471 0.3210

1.2263 7 2.9298 0.4185

m2 – m m

0.5 0.4280 0.2140 0 10 185,045.9 1.3158

1 0.4185 0.4185 2 9 217,143 0.9555

– m m ° – –

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empennage section. The empennage section speciﬁcations given in Table 2 were obtained based on the wing characteristics and stability requirements. To facilitate easy hand launch and deep stall landing, the S1223 aerofoil was chosen for wing design as it had Cl max value of 2.1, and it provided the lift coefﬁcient required at cruise conditions. The aerofoil analysis results obtained from XFOIL and ANSYS FLUENT software at 185,129 Reynolds number (ﬁrst iteration) agree with experimental results. The aerofoil was carried on to next iteration for the previously mentioned reasons. The results obtained from OpenVSP for wing + empennage are as shown in Fig. 1. Figure 2 is a comparison between results for wing alone. Agreement between the experimental and analysis results can be observed at low values of absolute angles of attack while the same is lost at high angles of attack. The disagreement in the lift coefﬁcient values might be caused due to the use of velocity inlet and shear wall boundary conditions. Velocity contours were observed on the domain surfaces which indicate the failure of the boundary conditions to mimic the actual environment. Table 2 Empennage section geometry obtained in second iteration of design Horizontal tail volume ratio VH Optimum horizontal tail arm length lopt Horizontal tail area SHT Horizontal tail aspect ratio ARHT Horizontal tail span bht Horizontal tail Cht Horizontal tail incidence angle Aerofoil used for empennage

0.5 1.5 m

Vertical tail volume ratio VV Vertical tail area SVT

0.04 0.0958 m2

0.17 m2 4.6667 0.895 m 0.191 m 5° NACA0008

Vertical tail Vertical tail Vertical tail Taper ratio Vertical tail Vertical tail

1.5 0.3791 0.2527 0.5 0.3370 0.1685

aspect ratio ARVT span bvt chord Cvt root chord Cvtr tip chord Cvtt

Fig. 1 Delta Cp and trailing wake for wing + empennage at AOA = 10

m m m m

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C - α Curve

Experimental L Results Re = 2.5 200,000 2 XFLR5 Results 1.5 1 (3D Panel) Re = 0.5 217,143 0 -0.5 -18-16-14-12-10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 α°

Fig. 2 Lift curve comparison for wing analysis results and experimental aerofoil results

Fig. 3 CAD model of UAV created in CATIA

Fig. 4 Pressure coefﬁcient distribution over UAV surfaces obtained from ANSYS FLUENT software

The CAD model developed in CATIA software as shown in Fig. 3 was used to extract the location of centre of gravity and mass moment of inertia. The pressure distribution over the UAV surfaces, as shown in Fig. 4, was obtained from the UAV analysis in ANSYS FLUENT software with cruise

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conditions, i.e. at Re = 265,397 and a = 0° as boundary conditions. The UAV generates the required lift coefﬁcient at cruise conditions with minimum moment coefﬁcient. Using the results of analysis, constraint diagram for third iteration of design was generated.

4 Conclusions The variations in the design drivers converge in 5–6 iterations. The present work is encapsulated in a self-explanatory Excel spreadsheet and OpenVSP scripts, which can be used to conceptually design UAVs propelled by electric propulsion system based on the requirements. The design procedure for the mini category of UAVs was generated by applying the design rules available for commercial airplanes. It can be concluded that the constraint diagram approach can be used for the UAV design procedure without any modiﬁcations. Acknowledgements The second author Mr. Deepak Madhyastha would like to thank MSRSAS for all the support and permission to publish.

References 1. Loftin, L.K.: Subsonic aircraft: Evolution and matching of size to performance. NASA RP 1060 (Aug 1980) 2. Mattingly, J.D., Heiser, W.H., Pratt, D.T.: Aircraft Engine Design. AIAA Education Series, vol. 200, 2nd edn, p. 19 3. Sadraey, M.H.: Aircraft Design: A Systems Engineering Approach. Wiley, West Sussex (2012) 4. Aircraft Aerodynamics and Design Group: Tail Design and Sizing [Online]. Available: http:// adg.stanford.edu/aa241/stability/taildesign.html (1999). Accessed: 10-June-2015 5. Nelson, R.C.: Flight Stability and Automatic Control. McGraw-Hill International Editions, Singapore (1998)

Drag Reduction for Flow Past a Square Cylinder Using Rotating Control Cylinders—A Numerical Simulation Ghosh Subhankar, S. Senthilkumar and S. Karthikeyan

Abstract This paper investigates the effect of two control cylinders of same circular cross section on reduction of drag caused by vortex shedding phenomenon at the downstream of the flow past a square cylinder. Numerical computations are performed for a Reynolds number of 100 as this is well below the transitional flow regime where the effect of vortex shedding phenomenon is more signiﬁcant. Simulations are carried out using a Finite Volume CFD solver for ﬁve different positions along with three different rotational speeds (5, 10, 20 rad/s) and directions (clockwise, anticlockwise) of control cylinders. Validation of the base case (i.e., without any control cylinder) shows a good agreement with the available literature data. The transient variations of lift and drag coefﬁcients are monitored for each case and compared with those of the base case. The vortex shedding phenomenon and the physics behind the drag reduction are explained with the help of streamlines and drag coefﬁcient plots. The most effective case with 4% drag reduction is identiﬁed when xc = 0.65, yc = 0.45 with the top cylinder rotating in the clockwise direction and the bottom cylinder rotating in the anticlockwise direction with a rotational speed of 20 rad/s. Keywords Square cylinder Rotational speed

Rotating control cylinder Drag reduction

1 Introduction Bluff body aerodynamics has always been one of the most interesting subjects of research and has got an utmost importance in our current era due to the long range of implicational scope in various hydrodynamics problems like flow past airplanes, ships and civil structures, and combustion flame holder. The phenomenon of vortex G. Subhankar S. Senthilkumar (&) S. Karthikeyan Department of Aeronautical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_12

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shedding and drag is one of the major issue engineers faces when working with these bluff bodies. Several researchers carried out study on flow over circular cylinder to analyses the wake structures; drag reduction and vortex shedding control by using the various active and passive control techniques. Some examples of passive and active methods are the end plate, splitter plate, base bleed, oscillation in line with the incident flow, rotating oscillation, span-wise waviness to front stagnation face of a rectangular cylinder, rotary, transverse oscillations, or stream-wise. Various vortex control methods can be found in the review paper by Choi et al. [1]. Among which the effect of rotating control cylinders have got a major importance in the list of recent active methodology research about flow past bluff bodies. Hence the current study emphasizes on drag reduction over square cylinder using contra-rotating control cylinder pair. Saha et al. [2] have investigated the effect of blowing in the form of jet on the vortex shedding at the Reynolds number of 100. They did it for different number of jets, jet velocity proﬁles, and different blowing velocities. They have observed that parabolic velocity proﬁle is more effective in suppression of vortex shedding compared to the uniform velocity proﬁle. They have mentioned that the vortex shedding has reduced because of the lowered interaction of separated shear layers leading to weak shear layers due to vorticity diffusion. Islam et al. [3] have studied flow over a square cylinder of diameter (D) in presence of multiple small control cylinders at low Reynolds numbers (Re = 100 and 160). They have placed the control cylinders at a speciﬁc distance (s) and angle of attack (Ѳ). They have deﬁned a parameter (g) = s/D. They have found that the drag is reduced 99.8 and 97.6% for (Ѳ, g) = (30°, 3) at Re = 100 and 160, respectively. The vortex shedding completely disappeared in Re = 100 at (Ѳ, g) = (45°, 0.5), (45°, 0.75), (45°, 1), and (45°, 1.5), but at Re = 160, vortex shedding disappeared at (Ѳ, g) = (30°, 0.5). Ali et al. [4] have investigated the interaction of a square cylinder wake and a detached flat plate of length equal to one cylinder height (D) at various downstream locations (G) at the Reynolds number 150. They have observed two modes of wake plate interaction. For short gaps ðG 2DÞ, a shear layer plate interaction is observed with the ﬁrst type of flow regime. They have found out that the optimum position of the flat plate will be G 2D for maximum reduction in the fundamental vortex shedding frequency, root mean square lift, and mean drag of the cylinder. They have noticed a new wake plate interaction with sudden jump in the Strouhal number between 2D G 2:5D. They have concluded that the critical gap lies between 2D G 2:5D. Zhang et al. [5] have investigated the effect of blowing and suction from the channel walls on the flow past a square cylinder placed inside of that channel numerically. They carried out their study with two different Reynolds numbers of 175 and 250 for both the cases of wall blowing velocity ratios of 0.05, 0.1 and suction ratios of 0.1, 0.25, and 0.3. They have concluded that blowing has a stabilizing effect on the flow past a conﬁned cylinder and critical Reynolds number increases with the increase in blow speed. They have mentioned about a steady asymmetric solution, exist in a certain range of parameters in the case of suction through channel walls. Pantokratoras et al. [6] investigated the laminar flow behavior around the square cylinder by blowing or suction in the theoretical rear

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and forward stagnation points at different Re number from 0.001 to 40. And they found that for the case windward injection and leeward suction followed by the windward blowing can suppress the natural vortex shedding behind the cylinder than all other combination of suction and blowing.

2 Computational Methodology Commercially available CFD code, ANSYS Fluent™ is used for the flow simulations and the laminar flow mathematical equations are solved under incompressible pressure-based SIMPLE algorithm. A second-order upwind scheme is used for the convective flux with the convergence threshold residuals of 10−4. Quad-type meshing elements are preferred. Figure 1b shows the zoomed view of grid structure of the computational domain. The velocity inlet and pressure outlet boundary conations are used for inlet, outlet, as shown in Fig. 1a. The no-slip boundary condition is used on the wall of the main and control cylinder surface.

3 Results and Discussion Initially, a grid independent study has performed to make sure that the solution is independent of grid size. In the present investigation, Reynolds number of 100 is ﬁxed based on main square cylinder of side L. The domain sizes in the upstream and downstream are XU = 7L, XD = 20L, respectively and in the Y direction, YU = 10L, YD = 10L, respectively as shown in Fig. 1. The origin axis coincides with the center of the main square cylinder and all the dimensions measured with respect to this origin. The computation is performed for flow over square cylinder without control circular cylinders with three different grid sizes as mentioned in Table 1. This is named as baseline case. From the grid independent study the grid size, G2 is

Fig. 1 a Domain speciﬁcation. b Enlarged mesh structure near the square cylinder

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Table 1 Grid independence study Grid name G1 G2 G3

No of elements 37,931 75,339 150,331

Table 2 Case name based on position of control cylinders

CD 1.467 1.465 1.465

Strouhal number 0.139 0.139 0.134

Reference value [1]

1.524

3.74 4.19 3.87

S. No.

Control cylinder position Top Bottom Yc Xc Yc Xc

1 2 3 4 5

0.45 0.60 0.60 0.65 0.65

0.6 0.45 0.25 0.45 0.25

Error (%)

0.45 0.60 0.60 0.65 0.65

−0.60 −0.45 −0.25 −0.45 −0.25

Case name

Case Case Case Case Case

1 2 3 4 5

chosen for further numerical computations. In the present study, the variation of the drag value is analyzed closely after placing a pair of circular control cylinders of diameter D = 0.1L at ﬁve different positions with respect to the main square cylinder. The simulations have been carried out for two different rotational directions for each of the ﬁve cases. The name conventions used in the current discussion for two different cases of rotational directions are T-ACW/B-CW for top control cylinder rotating anticlockwise and bottom control cylinder rotating clockwise rotation and T-CW/B-ACW for the opposite case of rotation, i.e., top control cylinder rotating clockwise and bottom control cylinder rotating anticlockwise rotation. The position of counter-rotating control cylinder pair for different positional case are mentioned with the different values of XC and YC as indicated in Fig. 1. Five different locations of the control cylinder pair are shown in Table 2.

3.1

Effect of Rotational Direction and Speed on Drag

In case 1, it was observed that there is a 12.01% increase of CD value at 5 rad/s for the rotational condition of T-ACW/B-CW (Tables 2 and 3). For the same case, the CD is increasing with the speed by 12.69 and 14.10% at 10 rad/s and at 20 rad/s, respectively as compared to the baseline. For the same position of control cylinders with a change in rotational direction i.e., T-CW/B-ACW, it is observed that the drag is still greater than the base value by 11.09% at 5 rad/s. With further increase in the

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Table 3 Comparison of CD for T-ACW/B-CW and T-CW/B-ACW case at different speed Rotation direction and speed of control cylinders Rotational speed T-ACW/B-CW 5 rad/s 10 rad/s 20 rad/s Case name CD

T-CW/B-ACW 5 rad/s 10 rad/s

20 rad/s

Case Case Case Case Case

1.628 1.439 1.436 1.417 1.437

1.597 1.421 1.432 1.405 1.432

1 2 3 4 5

1.641 1.451 1.437 1.423 1.439

1.651 1.457 1.439 1.427 1.440

1.672 1.469 1.442 1.435 1.444

1.617 1.433 1.435 1.413 1.435

speed, the drag starts to decrease but the value is still higher than that of the base value. The CD values are 10.39 and 8.98 for 10 and 20 rad/s, respectively. In case 2, there is a 0.97% decrease in drag value at 5 rad/s with T-ACW/B-CW. With the increase of speed, there is an increase in drag from the base value. Though the drag is observed to be increased with the speed, the estimated drag value for 10 rad/s is 0.55% lesser than the baseline value, But for 20 rad/s the drag value becomes 0.30% greater compared to the base value. For the same position with T-CW/B-ACW at 5 rad/s, it is found that 1.80% of decrease of drag from the baseline value and further increase in speed reduced the drag by 2.20 and 3.01% at 10 rad/s and at 20 rad/s, respectively. The case 3 shows 1.92% of drag reduction at 5 rad/s with T-ACW/B-CW condition and drag keeps on increasing with the speed but still remains 1.81% less at 10 rad/s and 1.58% less at 20 rad/s compared to the base value. For T-CW/ B-ACW, there is a 1.96% reduction in drag for 5 rad/s. With the increase in speed, the drag value starts to drop and acquire a 2.06 and 2.2% reduction in drag from the base value for 10 and 20 rad/s, respectively. The Case 4 with T-ACW/B-CW, it is observed that as compared to the base value, the drag reductions by 2.87, 2.61, and 2.06% at 5, 10, and 20 rad/s, respectively, while for Case 4 with T-CW/B-ACW, further drag reduction is found and the values are 3.29, 3.57, and 4.10% at 5, 10, and 20 rad/s, respectively. In case 5 with T-ACW/B-CW condition, the reduction in drag is decreased as compared with the previous cases but these values are still lower than those of baseline and about 1.8, 1.69, and 1.47% at 5, 10, and 20 rad/s, respectively. As we alternate the rotational direction as T-CW/B-ACW, the similar trend is found with different reduction values as 1.93, 2.04, and 2.25% at 5, 10, and 20 rad/s, respectively.

3.2

Time History of CL and CD Values

The CL and CD time history has been monitored for all the cases, here only the base and optimum drag reduction cases have shown for better understanding. And the

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Fig. 2 Time histories of CL and CD: Left: Baseline and Right: Case 4 (T-CW/B-ACW)

(a) t= 10s

(b) t =15 s

(a) t= 5s

(b) t =30 s

Fig. 3 Streamline evolution at different time instants: Top: Base and Bottom: Case 4 (T-CW/ B-ACW)

plot infers that there is a reasonable drag reduction with the case 4 with T-CW/ B-ACW, as shown in Fig. 2. This may be due to the presence of rotating control cylinders positioned downstream in the wake region which induces an additional momentum (Fig. 3) to the near wake flow hence alters the flow behaviors behind the square cylinder leads to the reduction in drag, as evident from Fig. 2. There is a signiﬁcant difference found on the peak value of the CL history and delay in shedding process is also seen (see Fig. 2) since the flow downstream of the cylinder still has shedding nature as can be seen clearly in the streamlines plot Fig. 3. However, the shedding time remains almost the same for both the cases.

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4 Conclusion Active drag reduction for flow over a square cylinder has been investigated with two rotating circular control cylinders of same circular placed at the downstream of the flow. When the top control cylinder rotates in clockwise direction and bottom control cylinder rotates in anticlockwise, the drag decreases with the increase in speed. When the top control cylinder rotates in anticlockwise and bottom control cylinder rotates in clockwise the drag increases with the increase in speed. However, the drag reduction in comparison with baseline was found for all the cases except the case 1. It shows that the position of the control cylinder at near wake region plays a major role in drag reduction. And highest percentage of drag reduction was found for case 4 (T-CW/B-ACW) at 20 rad/s which is around 4%.

References 1. Choi, H., Jeon, W.P., Kim, J.: Control of flow over a bluff body. Annu. Rev. Fluid Mech. 40, 113–139 (2008) 2. Saha, A.K., Shrivastava, A.: Suppression of vortex shedding around a square cylinder using blowing. Sadhana 40(3), 769–785 (2015) 3. Islam, S.U., Manzoor, R., Islam, Z.U., Kalsoom, S., Ying, Z.C.: A computational study of drag reduction and vortex shedding suppression of flow past a square cylinder in presence of small control cylinders. AIP Adv. 7(4), 045119 (2017). https://doi.org/10.1063/1.4982696 4. Ali, M.S.M., Doolan, C.J., Wheatley, V.: Flow around a square cylinder with a detached downstream flat plate at a low Reynolds number. In: 17th Australasian Fluid Mechanics Conference, New Zealand (2010) 5. Zhang, W., Jiang, Y., Li, L., Chen, G.: Effects of wall suction/blowing on two-dimensional flow past a conﬁned square cylinder. SpringerPlus 5(1), 985 (2016). https://doi.org/10.1186/ s40064-016-2666-7 6. Pantokratoras, A.: Laminar flow across an unbounded square cylinder with suction or injection. Z. Angew. Math. Phys. 68(1) (2017)

Study the Effect of Mill Scale Filler on Mechanical Properties of Bidirectional Carbon Fibre-Reinforced Polymer Composite Aman Soni and Amar Patnaik

Abstract In this study, the effect of mill scale as the ﬁller with different weight percentage in carbon ﬁbre reinforced polymer composites is investigated. The composites are fabricated with 0, 5 and 10 wt% of mill scale, respectively, using hand lay-up method. The mechanical performance of the composites is evaluated by tensile test, flexural test, inter-laminar shear stress and micro-Vickers hardness test. It is observed that incorporation of mill scale in composite increases the tensile strength by 2.40% (5 wt%) and 4.73% (10 wt%); flexural strength by 35.34% (5 wt %) and by 17.78% (10 wt%); ILSS by 44.40% (5 wt%) and 41.45% (10 wt%); hardness by 14.70% (5 wt%) and by 25.49% (10 wt%). The results reveal that mill scale as ﬁller in composite signiﬁcantly affects the mechanical properties. This work may provide a meaningful way to modify the conventional manufacturing methods in various industrial applications of CFRPs. Keywords Carbon ﬁbre-reinforced composites

Mill scale Epoxy resin

1 Introduction Conventional carbon ﬁbre epoxy-reinforced composites are widely used in aerospace, automotive, civil engineering, sports goods and an increasing number of other applications due to their versatile properties, wherein matrix plays a signiﬁcant role in determining the mechanical behaviour of the composite. Epoxy resin is the most suitable bonding agent for carbon ﬁbre composites meant for high-strength applications. Extensive research has been conducted to enhance the strength properties of carbon ﬁbre-reinforced composites. In order to achieve this, methods like hydrogen-plasma treatment, high-pressure hydrogen treatment, heat treatment have been adopted [1–4]. A. Soni A. Patnaik (&) Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur 302017, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_13

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Surface modiﬁcation of carbon ﬁbre is also possible with deposition of certain strengthening agents over the surface of carbon ﬁbre [5–8]. However, the interfacial strength between CFs and the matrix tends to be weak due to poor wettability and adsorption between CFs and the matrix caused by the smooth and chemically inert surfaces of CFs [9–17]. Apart from this, a wide range of techniques has been developed to enhance the mechanical behaviour through modiﬁcation of resin matrix. Several research teams have explored the modiﬁcation of the properties of epoxy resins by introducing various toughening agents such as reactive liquid rubber [18], thermoplastics [19, 20], micron-scale rubber particles, nano-rubber particles and nano-scale ﬁllers [21–25]. In recent years, mill scale has attracted tremendous attention because of its excellent mechanical, electrical and thermal properties. Considering the versatile nature of its properties, enhancement of mechanical properties of carbon fabric/ epoxy composites is possible through mill scale as ﬁller. But since not much work has been done on investigating the effect of adding mill scale as ﬁller on the mechanical properties of carbon ﬁbre epoxy reinforced composites, this study aims to observe the same.

2 Experimental 2.1

Materials

PAN-based bidirectional plain woven carbon fabrics, 1000 mm in width, with a dry weight of 200 g/m2 per layer, are supplied by Hindoostan Composite Solutions, Mumbai, India. Industrial-grade epoxy resin and hardener are bought from Ares Chemical Works, Jodhpur, India. The modiﬁer of the matrices is mill scale, diameter 53–75 lm collected from a local rolling mill, Jaipur, India. To evaluate the mechanical properties of the carbon ﬁbre composites, tensile tests, flexural tests and ILSS tests are performed on Universal Testing Machine (Heico Corporation). The hardness of the samples is tested on micro-Vickers hardness testing machine (UHL VMHT).

2.2

Fabrication of Composites

The four-layered carbon ﬁbre-reinforced composites are fabricated using the hand lay-up method. Firstly, mill scale is magnetically separated out so that any unwanted non-ferrous particles are removed. Thereafter, maintaining 10:1 ratio of epoxy-hardener, a composite is created with 0 wt% of mill scale ﬁller in its matrix. Similarly, two more composites are fabricated with 5 and 10 wt% of ﬁller in the matrix, rest all parameters remaining the same. Each composite is allowed to

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solidify for a span of 24 h in dry conditions. The three prepared composites are named as C-0, C-5 and C-10 on the basis of wt% of ﬁller present in them. Samples shall be referred to by the same names now on.

2.3

Characterization Techniques

Tensile Test The tensile strength of the composites is observed using Universal Testing Machine, driven by a hydraulic mechanism. Samples were prepared in accordance with ASTM D3039/D3039 M. Samples of gauge length 70 mm are tested ﬁxing the cross-head speed at 0.1 mm/s. The sample dimensions are 140 mm 10 mm 1.8 mm (70 mm being the total tab length). The ﬁnal tensile strength is the average of the three readings obtained for each composite sample. The tensile strength is calculated by the following expression: E¼

P A

ð1Þ

where E = Tensile strength (or peak stress) (N/sqmm); P = Peak load (N); A = Area of cross section (sqmm). Flexural test The samples for flexural testing (3 point loading) are prepared in accordance with ASTM D790. The span length is 57.6 mm, which is in exactly 32:1 ratio with the sample thickness. The overall sample dimensions being 57.6 mm 10 mm 1.8 mm. The speed of testing is 1 mm/min maintained throughout the testing. The stress may be calculated for any point on the load-deflection curve by the following equation: r¼

3PL 2bh2

ð2Þ

where r = stress at the outer surface in the load span region, MPa, P = applied force, N, L = support span, mm, b = width of the beam, mm, and h = thickness of beam, mm. The flexural strength of a sample is equal to the maximum stress at the outer surface corresponding to the peak applied force prior to the failure. It is calculated in accordance with Eq. 2 by letting P equal the peak applied force. The ﬁnal strength is taken to be the average of three readings obtained for each composite.

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Inter-Laminar Sheer Stress Test The span length for inter-laminar shear stress is 24 mm, which was in accordance with ASTM D 2344/D 2344M. The dimensions of the sample were 24 mm 10 mm 1.8 mm. The speed of testing is set to be 1 mm/min; readings of load are recorded at a ﬁxed interval of 0.1 s. The short beam strength can be calculated as F sbs ¼

0:75Pm bh

ð3Þ

where Fsbs = short beam strength, MPa; Pm = maximum load observed during the test, N; b = measured specimen width, mm, and h = measured specimen thickness, mm. The test is performed on three samples out of each composite, and strength values are noted. The ﬁnal strength of each composite is taken to be the average of these three readings obtained. Micro-Vickers Hardness Test The hardness of composites was measured at a load of 200 gm. The HV number is determined by the ratio F/A, where F is the force applied to the diamond in kilograms-force and A is the surface area of the resulting indentation in square millimetres. A can be determined by the formula. A¼

d2 sin

136 2

ð4Þ

This can be approximated by evaluating the sine term to give A¼

d2 1:8544

ð5Þ

where d is the average length of the diagonal left by the indenter in millimetres. Hence, HV ¼

F 1:8544F ¼ A d2

ð6Þ

where F is in kgf and d is in millimetres. The corresponding units of HV are then kilograms-force per square millimetre (kgf/mm2). To calculate Vickers hardness number using SI units, one needs to convert the force applied from Newton to kilogram-force by dividing by 9.80665 (standard gravity). This leads to the following equation:

Study the Effect of Mill Scale Filler on Mechanical Properties …

HV ¼

125

0:1891F d2

ð7Þ

where F is in N and d is in millimetres. The ﬁnal hardness value for each composite is taken to be the average of ﬁve test readings obtained for every composite.

3 Results and Discussion 3.1

Analysis of Data in Tensile Test

Observation The tensile strength values and the corresponding peak loads of the three carbon ﬁbre reinforced composites—C-1, C-5 and C-10 are as shown in Fig. 1. Comparison of Tensile strength The average tensile strength of composite C-0, C-5 and C-10 using UTM is 282.573, 289.33 and 295.90 MPa, respectively. Therefore, it is clearly identiﬁed that the tensile strength level of carbon ﬁbre epoxy-reinforced composite has increased by 2.40% for C-5 and 4.73% for C-10. This indicates that mill scale nanoparticles have a strong interface with epoxy resin. While the crack initiates under load in the matrix, as they propagate, they are blocked by particles. The mill scale particles cause branching by blocking the crack tip and deflections in the crack directions, which create signiﬁcant toughness mechanisms.

Fig. 1 Tensile Strength behaviour variation with wt% of mill scale

350

Tensile Strength (MPa)

300 250 200 150 100 50 0

Wt.% of Mill Scale

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Fig. 2 Flexural Strength behaviour variation with wt% of mill scale

600

Flexural Strength (MPa)

500

400

300

200

100

0 0

Wt.% of Mill Scale

3.2

Analysis of Data in Flexure Test

Observation The flexural strength and the corresponding peak loads of the three respective composites are as shown in Fig. 2. Comparison of Flexural strength Average flexural strengths of composites C-0, C-5 and C-10 are 369.824, 500.507 and 435.610 MPa, respectively. Therefore, the flexural strength of carbon ﬁbre epoxy-reinforced composite increases by 35.34% for C-5 and 17.78% for C-10 as compared to C-0. It can be noticed that increase in strength is more for C-5 than C-10. It is established that the inclusion of mill scale nanoparticles improves the flexural toughness of composites due to strong interface with epoxy. The nanoparticles in the matrix also undergo branching which prevents the growth of cracks and hence improves strength. However, with the concentration of nanoparticles, the strength undergoes a slight reduction. This happens because of abundance of ﬁller nanoparticles in the vicinity in the matrix form clusters, which in turn serves as stress-concentrated zones when subjected to loading, resulting in premature cracking.

3.3

Analysis of Data in Inter-laminar Sheer Stress Test

Observation The inter-laminar sheer stress values and the corresponding peak loads of the three carbon ﬁbre-reinforced composites–C-1, C-5 and C-10 are as shown in Fig. 3. Comparison The average values of inter-laminar sheer stress as observed for the three respective composites C-0, C-5 and C-10 are 12.16, 17.56 and 17.20 MPa. The percentage rise of inter-laminar sheer stress for C-5 and C-10 as compared to

Study the Effect of Mill Scale Filler on Mechanical Properties … Fig. 3 ILSS behaviour variation with wt% of mill scale

127

20 18 16

ILSS (MPa)

14 12 10 8 6 4 2 0 0

Wt.% of Mill Scale

C-0 is 44.4% and 41.45%, respectively. The incrementing pattern of ILSS with the rise in ﬁller amount is similar to the increment pattern of flexural strength; i.e., the rise in ILSS for C-5 is more than that of C-10, both as compared to C-0. The reasons for this pattern in ILSS results are similar to those of flexural test.

3.4

Analysis of Data in Micro-Vickers Hardness Test

Observation The hardness values of C-1, C-5 and C-10 as obtained in micro-Vickers hardness test are as shown in Fig. 4.

Fig. 4 Hardness variation with wt% of mill scale

Hardness (HV)

0 0

Wt.% of Mil Scale

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Comparison The average hardness values of composites C-0, C-5 and C-10 using micro-Vickers hardness test are 20.4 HV, 23.4 HV and 25.6 HV, respectively. It is clearly identiﬁed that hardness has increased by 14.70% for C-5 and 25.49% for C-10 as compared to C-0. Clearly, the surface hardness of composites is increasing with increase in wt% of ﬁller in its matrix. Mill scale nanoparticles are well dispersed in the matrix and along with epoxy; they also resist the force of indenter. More the number of nanoparticles, more is the resistance to external force. Therefore, the hardness of the composite increases with increase in the concentration of mill scale in the matrix.

4 Conclusions For the purpose of improving mechanical properties of carbon ﬁbre epoxy-reinforced composites, mill scale is used as ﬁller in the matrix. The effect of different proportions of mill scale on mechanical properties of composites is examined. Composites consisting of 0%, 5% and 10% mail scale ﬁller in matrices were fabricated using hand lay-up method. The experimental results suggest that mill scale can signiﬁcantly improve the mechanical behaviour of carbon ﬁbre composites. Tensile strength improvements for 5 and 10 wt% of mill scale are 2.40 and 4.73%. The flexural strength of composite increases by 35.34% for 5 wt% and 17.78% for 10 wt% addition of mill scale ﬁller. Following the same pattern, ILSS increases by 44.40% and 41.45%. Hardness increase is rather regular, i.e. 14.70% for 5 wt% and 25.49% for 10 wt%. Acknowledgements This project was supported by Advanced Research Laboratory for Tribology, Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur, India. The authors also extend thanks to Research Laboratory, Department of Metallurgy Engineering, Malaviya National Institute of Technology, Jaipur, India.

References 1. Lee, E.S., Lee, C.H., Chun, Y.S., Han, C.J., Lim, D.S.: Effect of hydrogen plasma-mediated surface modiﬁcation of carbon ﬁbers on the mechanical properties of carbon-ﬁber-reinforced polyetherimide composites. Compos. Part B (2016). https://doi.org/10.1016/j.compositesb. 2016.10.088 2. Jeon, S.K., Kwon, O.H., Jang, H.S., Ryu, K.S., Nahm, S.N.: Effect of high pressure hydrogen on the mechanical characteristics of single carbon ﬁber. Appl. Surf. Sci. (2017). https://doi. org/10.1016/j.apsusc.2017.07.005 3. Baklanova, N.I., Lozanov, V.V., Morozova, N.B., Titov, A.T.: The effect of heat treatment on tensile strength of iridium-coated carbon ﬁber. Thin Solid Films (2015). https://doi.org/10. 1016/j.tsf.2015.02.042

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4. Fan, W., Wang, Y., Wang, C., Chen, J., Wang, Q., Yuan, Y., Niu, F.: High efﬁcient preparation of carbon nanotube-grafted carbon ﬁbers with the improved tensile strength, Appl. Surf. Sci. https://doi.org/10.1016/j.apsusc.2015.12.189 5. Sun, J., Zhao, F., Yao, Y., Jin, Z., Liu, X., Huang, Y.: High efﬁcient and continuous surface modiﬁcation of carbon ﬁbers with improved tensile strength and interfacial adhesion. Appl. Surf. Sci. (2017). https://doi.org/10.1016/j.apsusc.2017.03.279 6. Hung, P.Y., Lau, K.T., Fox, B., Hameed, N., Lee, J.H., Hui, D.: Surface modiﬁcation of carbon ﬁbre using graphene-related materials for multifunctional composites. Compos. B (2017). https://doi.org/10.1016/j.compositesb.2017.09.010 7. Sun, J., Li, H., Feng, L., Jia, Y., Song, Q., Li, K.: A novel treatment of carbon ﬁbers with improving tensile strength to synthesize evenly distributed carbon nanotubes on their surface. Appl. Surf. Sci. (2017). https://doi.org/10.1016/j.apsusc.2017.01.165 8. Dong, J., Jia, C., Wang, M., Fang, X., Wei, H., Xie, H., Zhang, T., He, J., Jiang, Z., Huang, Y.: Improved mechanical properties of carbon ﬁber-reinforced epoxy composites by growing carbon black on carbon ﬁber surface. Compos. Sci. Technol. (2017). https://doi.org/10.1016/j. compscitech.2017.06.002 9. Wang, C., Li, J., Yu, J., Sun, S., Li, X., Xie, F., Jiang, B., Wu, G., Yu, F., Huang, Y.: Grafting of size-controlled graphene oxide sheets onto carbon ﬁber for reinforcement of carbon ﬁber/ epoxy composite interfacial strength. Compos.: Part A. https://doi.org/10.1016/j.compositesa. 2017.07.015 10. Sun, J., Zhao, F., Yao, Y., Liu, X., Jin, Z., Huang, Y.: A two-step method for high efﬁcient and continuous carbon ﬁber treatment with enhanced ﬁber strength and interfacial adhesion. Mater. Lett. (2017). https://doi.org/10.1016/j.matlet.2017.03.007 11. Jiang, J., Yao, X., Xu, C., Su, Y., Zhou, L., Deng, C.: Influence of electrochemical oxidation of carbon ﬁber on the mechanical properties of carbon ﬁber/graphene oxide/epoxy composites. Compos.: Part A (2017). https://doi.org/10.1016/j.compositesa.2017.02.004 12. Ma, Q., Gu, Y., Li, M., Wang, S., Zhang, Z.: Effects of surface treating methods of high-strength carbon ﬁbers on interfacial properties of epoxy resin matrix composite. Appl. Surf. Sci. (2016). https://doi.org/10.1016/j.apsusc.2016.04.075 13. Cole, D.P., Henry, T.C., Gardea, F., Haynes, R.A.: Interphase mechanical behavior of carbon ﬁber reinforced polymer exposed to cyclic loading. Compos. Sci. Technol. (2017). https://doi. org/10.1016/j.compscitech.2017.08.012 14. Wang, C., Chen, L., Li, J., Sun, S., Ma, L., Wu, G., Zhao, F., Jiang, B., Huang, Y.: Enhancing the interfacial strength of carbon ﬁber reinforced epoxy composites by green grafting of Poly (oxypropylene) Diamines. Compos. Part: A (2017). https://doi.org/10.1016/j.compositesa. 2017.04.003 15. Zhang, R.L., Gao, B., Ma, Q.H., Zhang, J., Cui, H.Z., Liu, L.: Directly grafting graphene oxide onto carbon ﬁber and the effect on the mechanical properties of carbon ﬁber composites. Mater. Des. (2016). https://doi.org/10.1016/j.matdes.2016.01.003 16. Song, S.A., Lee, C.K., Bang, Y.H., Kim, S.S.: A novel coating method using zinc oxide nanorods to improve the interfacial shear strength between carbon ﬁber and a thermoplastic matrix. Compos. Sci. Technol. (2016). https://doi.org/10.1016/j.compscitech.2016.08.012 17. Feng, L., Li, K., Xue, B., Fu, Q., Zhang, L.: Optimizing matrix and ﬁber/matrix interface to achieve combination of strength, ductility and toughness in carbon nanotube-reinforced carbon/carbon composites (2017) 18. Ozdemir, N.G., Zhang, T., Aspin, I., Scarpa, F., Hadavinia, H., Song, Y.: Toughening of carbon ﬁbre reinforced polymer composites with rubber nanoparticles for advanced industrial applications. eXPRESS Polym. Lett. 10 (2016). https://doi.org/10.3144/expresspolymlett. 2016.37 19. Yamamoto, T., Makino, Y., Uematsu, K.: Improved mechanical properties of PMMA composites: dispersion, diffusion and surface adhesion of recycled carbon ﬁber ﬁllers from CFRP with adsorbed particulate PMMA. Adv. Powder Technol. (2017). https://doi.org/10. 1016/j.apt.2017.08.003

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20. Gonçalez, V., Barcia, F.L., Soares, B.G.: Composite materials based on modiﬁed epoxy resin and carbon ﬁber. J. Braz. Chem. Soc. 17(6), 1117–1123 (2006) 21. Danni, N., Sasikumar, T., Karthikeyan, M., Vimal, S.: Mechanical properties of CFRP composite with carbon nano ﬁber inclusion. Int. J. Adv. Res. Manage. Architect. Technol. Eng. (IJARMATE) 22. Li, Y., Zhang, H., Huang, Z., Bilotti, E., Peijs, T.: Graphite nanoplatelet modiﬁed epoxy resin for carbon ﬁbre reinforced plastics with enhanced properties. Hindawi J. Nanomater. (2017). https://doi.org/10.1155/2017/5194872 23. Liu, F., Deng, S., Zhang, J.: Mechanical properties of epoxy and its carbon ﬁber composites modiﬁed by nanoparticles. Hindawi J. Nanomater. (2017). https://doi.org/10.1155/2017/ 8146248 24. Gemi, L., Yazman, S., Uludağ, M., Dispinar, D., Tiryakioğlu, M.: The effect of 0.5 wt% additions of carbon nanotubes and ceramic nanoparticles on tensile properties of epoxy-matrix composites: a comparative study. Mater. Sci Nanotechnol. 25. Carolan, D., Ivankovic, A., Kinloch, A.J., Sprenger, S., Taylor, A.C.: Toughened carbon ﬁbre-reinforced polymer composites with nanoparticle-modiﬁed epoxy matrices. Springer (2016). https://doi.org/10.1007/s10853-016-0468-5

Study on Carbon, Glass, and Flax Hybrid Composites Using Experimental and Computational Techniques M. Dinesh, B. Rubanrajasekar, R. Asokan, S. Vignesh and S. Rajesh

Abstract Composites have already proven their worth as weight-saving material; the present scenario is to make them cost-effective. Employment of natural ﬁbers as reinforcement along with carbon and glass ﬁbers is an effective method for achieving it. In this paper, various properties of artiﬁcial and natural ﬁbers are discussed and the ﬁbers are selected on the basis of static efﬁciency. Composite laminates were made using different combinations of carbon, glass, and flax using epoxy resin. The mechanical properties of these laminates were studied experimentally using tensile tests and three-point bending tests. The results from experimental tests are validated computationally using Ansys 16 software. Keywords Hybrid composites (FEA)

Mechanical properties Finite element analysis

1 Introduction With a rapid increase in the usage of composite materials, especially in the aerospace industry, there arises a need for the development of a new composite material which gives good properties with relatively low cost. The advantages of natural M. Dinesh (&) B. Rubanrajasekar R. Asokan S. Vignesh S. Rajesh School of Aeronautical Science, Hindustan Institute of Technology and Science, Chennai, India e-mail: [emailprotected] B. Rubanrajasekar e-mail: [emailprotected] R. Asokan e-mail: [emailprotected] S. Vignesh e-mail: [emailprotected] S. Rajesh e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_14

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ﬁbers like high strength-to-weight ratio, readily available, low density, high stiffness, low cost, renewability, and biodegradability have led to the shift in research from traditional synthetic ﬁbers to natural ﬁbers [1, 2]. Tensile and compressive properties of flax, bamboo, and coir ﬁbers were evaluated, and it was found that flax ﬁber has better properties overall. Hence, the properties, characteristics, and performance of flax ﬁbers were studied in detail and the results proved that flax ﬁbers can be a potential reinforcement for composite materials [3–6]. The mechanical properties of composite materials are greatly affected by various factors such as ﬁber loading, ﬁber length, ﬁber surface modiﬁcation, and ﬁber orientation. Any changes to the above-mentioned factors will lead to a considerable change in mechanical properties such as tensile strength, flexural strength [7–9]. In the case of hybrid composites, apart from the above parameters, the properties are predominantly affected by the variation in ﬁber volume/weight fraction, variation in stacking sequence of ﬁber layers, ﬁber treatment, and environmental conditions [10–12]. Similar to all the composites, the physical properties, like bonding, moisture absorption, chemical reactivity, and mechanical properties, like tensile strength, flexural strength, of the flax ﬁber-reinforced composites can be improved with suitable chemical treatments, processing methods, weave architecture, ﬁber conﬁgurations, and manufacturing techniques [13]. The experimental test results are validated computationally by ﬁnite element analysis using Ansys software [14, 15].

2 Experimental Procedures 2.1

Material Selection

After numerous hours of work on literature survey and considering various factors such as physical properties, mechanical properties prior application in the aerospace industry, processing techniques, ease of manufacture, and also keeping in mind the cost and availability, a conclusion was made to use the following materials: E-glass ﬁber—Woven type (200 GSM); Carbon ﬁber—Woven type (200 GSM); Flax ﬁber—Woven type (200 GSM); Matrix—Epoxy resin (LY556); Hardener—HY972; Volume fractions of the ﬁbers—0.7. Five sets of laminates were fabricated by arranging the layers of ﬁbers in (±0/ 900) orientation using compression molding. The different sets of laminate combinations are given below, • Set 1—Glass/Flax/Flax/Flax/Glass/Epoxy; • Set 2—Flax/Glass/Flax/Glass/Flax/Epoxy; • Set 3—Carbon/Flax/Flax/Flax/Carbon/Epoxy;

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• Set 4—Flax/Carbon/Flax/Carbon/Flax/Epoxy; and • Set 5—Carbon/Flax/Glass/Flax/Carbon/Epoxy.

2.2

Fabrication of Laminates

The flax, carbon, and E-glass ﬁber cloths are cut into speciﬁc dimensions and with proper orientation as shown in Fig. 1. The required number of layers for obtaining the total thickness can be determined by taking into account the mat density and the ﬁber-to-resin ratio by weight. The ﬁbers were weighed, and the resin is taken as 30:70 ratio by the weight of the ﬁber. Then, hardener is added by 10% of the weight of the resin. The resin and hardener are completely mixed which forms the matrix. Initially, the lower part of the mold is coated with wax or gel. This ensures the laminate does not stick to the mold and also to give a good surface ﬁnish. A layer of resin is applied with a brush on the wax or gel coat. For the ﬁrst combination, the cut glass ﬁber mat is placed over the resin. By a stippling action using a resin-wetted brush, the resin is squeezed to the top surface. Using a metal roller, the layer is consolidated and all the air entrapped between gel coat and ﬁrst layer of mat is removed to prevent blisters. Then a cut flax ﬁber mat is placed over the ﬁrst layer, and the above steps are repeated. Subsequent layers are laid up in a similar manner according to the ply material and orientation. Thus, procedure has been repeated till the required thickness has been built up. The upper mold is screwed tight to the lower mold after the required thickness is obtained. This compresses the laminate layup and pushes out any excess resin through a hole. Then, the mold is kept in a curing oven at 120 °C and cured for over 2–3 h. Finally, the mold is taken out from the oven and the cured laminate is removed from the mold for further processing. Similarly, the above-mentioned procedure is carried out for fabricating all the remaining laminate sets as shown in Fig. 2. Specimens are cut from the laminate according to ASTM D3039 for tensile test (250 25 3 mm) [9] and ASTM D790 for three-point bending test (150 25 3 mm) [10]. Tabbing for tensile specimen has been done with aluminum tabs of dimensions (50 25 1.5 mm) as shown in Fig. 3.

Fig. 1 Flax, carbon, and E-glass ﬁber mats

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Fig. 2 Fabrication process of laminates a lower mold b molding process c curing oven

Fig. 3 Tensile and bending specimens before testing

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Fig. 4 Tensile and bending specimens after testing

2.3

Mechanical Testing

The tensile test and bending test were carried out using FSA M100 Universal Testing Machine equipped with a digital data acquisition system. The specimens after tests have been shown in Fig. 4.

3 Results and Discussion All the tests are carried out using standard procedures, and the results were recorded digitally using digital data acquisition system. These results are studied to determine the laminate having the best mechanical properties. The tensile and flexural properties of different sets are shown in Tables 1 and 2. From the above results, it can be concluded that the set 5 ﬁber combination has superior tensile properties and bending properties when compared to all the other sets. The maximum tensile strength and the maximum Young’s modulus recorded are 272 MPa and 6.41 GPa, respectively, and the maximum flexural strength and the maximum flexural modulus recorded are 449 MPa and 35 GPa, respectively. From the tests carried out on all the laminate sets and studying these test results, it is clearly evident that set 5 composite laminate exhibits high mechanical properties compared to other composite laminate sets as shown in Figs. 5, 6, 7, and 8. All the specimens are further analyzed using Ansys software to validate the experimental results.

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Table 1 Tensile properties of different sets of laminates Set

Ultimate load (KN)

Deformation (mm)

Stress (MPa)

Strain

Young’s modulus (GPa)

8.828 10.664 10.153 7.914 8.68 11.182 6.673 10.449 19.721 18.29

6.333 6.799 6.341 5.349 4.664 6.135 4.613 5.937 8.371 5.913

121.7 147.0 140.0 109.1 118.8 154.2 92.04 144.1 272.0 252.3

0.042 0.045 0.042 0.035 0.035 0.040 0.030 0.039 0.055 0.039

2.88 3.25 3.31 3.05 3.32 3.77 3.01 3.64 4.87 6.41

2 3 4 5

Table 2 Flexural properties of different sets of laminates Set

Ultimate load (KN)

Deformation (mm)

Stress (MPa)

Slope (N/ mm)

Flexural modulus (GPa)

0.182 0.177 0.216 0.22 0.353 0.319 0.288 0.285 0.632 0.564

18.14 14.77 21.242 23.108 7.882 7.305 12.25 12.916 9.3 7.593

129.8 126.8 159.0 158.3 239.9 227.5 205.4 203.3 449.4 402.3

37.73 44.84 25.38 24.06 47.84 4.807 30.21 27.77 85.67 84.03

15.469 18.638 10.405 9.8646 19.614 19.708 12.386 11.388 35.124 34.452

2 3 4 5

Fig. 5 Comparison on tensile strength

Study on Carbon, Glass, and Flax Hybrid…

Fig. 6 Comparison on Young’s modulus

Fig. 7 Comparison on flexural strength

Fig. 8 Comparison on flexural modulus

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4 Computational Analysis 4.1

Finite Element Model

The geometry of the composite layer for modeling is already discussed. The dimension of model for tensile test is 250 25 3 mm, and for bending test, it is 150 25 3 mm. The material properties for the woven glass ﬁber-reinforced epoxy laminate, woven carbon ﬁber-reinforced epoxy laminate, and woven flax ﬁber-reinforced epoxy laminate are considered as per test results based on individual laminas. Resin epoxy is given as a global drop-off material in the ACP Pre. The models are shown in Fig. 9. After creating the model, meshing has to be made on the model for creating nodes and elements. For good and accurate results, ﬁne mesh is to be carried out on the geometry as shown in Fig. 10. The boundary condition for different analysis should be speciﬁed as shown in Fig. 11.

Fig. 9 a Tensile test and b bending test model in ANSYS

Fig. 10 a Tensile test model and b bending test model after meshing

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Fig. 11 Boundary conditions for a tensile test and b bending test

4.2

Finite Element Analysis

For the given model and boundary condition, the analysis process is done using Ansys Multiphysics Solver and this process is time-consuming because of the repeated iteration and based on the conﬁguration of the computer, solving time may vary accordingly. The results can be obtained in post-processing where the various parameters like deformation, equivalent stress, and equivalent strain have been determined for both tensile and bending tests as shown in Figs. 12 and 13.

Fig. 12 Tensile test results for the set 5 (C/F/G/F/C) combination a equivalent stress b equivalent strain

Fig. 13 Bending test results for the set 5 (C/F/G/F/C) combination a equivalent stress b equivalent strain

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Comparison of Results

After the computational analysis has been completed, the results obtained from computational and experimental analysis are compared for both tensile and bending tests as shown in Tables 3, 4, 5, and 6. The comparison of test results shows us that the computationally obtained results are very close to that of experimentally obtained results for both tensile and bending tests. Thus, the experimentally obtained results are validated.

Table 3 Comparison of experimental tensile test results Experimental result Set Deformation (mm)

Equivalent stress (MPa)

Equivalent strain

1 2 3 4 5

147.089 140.041 154.234 144.124 272.013

0.0422 0.0356 0.0358 0.0307 0.0394

6.33 5.349 5.664 5.937 5.913

Table 4 Comparison of computational tensile test results Computational result Set Deformation (mm)

Equivalent stress (MPa)

Equivalent strain

1 2 3 4 5

150.18 141.86 161.47 148.11 293.39

0.0452 0.0371 0.0395 0.0381 0.0425

6.827 5.534 5.823 5.965 6.048

Table 5 Comparison of experimental bending test results Set

Deformation (mm)

Equivalent stress (MPa)

1 2 3 4 5

18.14 21.24 7.882 12.25 9.323

129.80 159.09 239.90 205.40 449.40

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Table 6 Comparison of computational bending test results Set

Deformation (mm)

Equivalent stress (MPa)

1 2 3 4 5

18.13 21.25 7.884 12.25 9.355

135.73 175.15 249.59 233.23 490.14

Fig. 14 Static efﬁciency comparison

5 Comparison of Static Efﬁciency From Fig. 14, it is noted that the static efﬁciency of the set 5 laminate comes very close to that of a carbon/epoxy laminate and even surpasses the carbon/glass/epoxy hybrid. The static efﬁciencies of the remaining laminate sets also come close to that of the carbon/glass/epoxy hybrid. The set 5 laminate was able to achieve 87.74% of the carbon/epoxy laminate’s static efﬁciency (Table 7).

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Table 7 Static efﬁciencies or speciﬁc strength of different laminates Material

Tensile strength (MPa)

Young’s modulus (GPa)

Static efﬁciency

Carbon/epoxy Glass/epoxy Carbon/glass/epoxy Set 1 laminate Set 2 laminate Set 3 laminate Set 4 laminate Set 5 laminate

400 179.2 291.2 147 140 154 144 272

9.70 6.450 3.40 3.25 3.31 3.77 3.64 6.41

250 94.3 168.32 100 97.22 135.08 122.03 219.35

6 Conclusion The primary goal of this paper is to identify new composite material for application in the aerospace industry. A new hybrid composite is designed using artiﬁcial and natural ﬁbers. Various tests like tensile and bending are carried out. From analyzing the results experimentally and computationally, the following conclusions were drawn: • Composite with ﬁber combination carbon/flax/glass/flax/carbon (set 5) shows better mechanical properties compared to other sets. • Set 5 laminate has better properties than carbon/glass hybrid composite in terms of both static efﬁciency and cost. • The CFGFC laminate was able to reach 87% of static efﬁciency of carbon/epoxy composite.

References 1. Sanjay, M.R., Arpitha, G.R., Laxmana Naik, L., Gopalakrishna, K., Yogesha, B.: Applications of natural ﬁbers and its composites: an overview. Nat. Resour. 7(3) (2016) 2. Saravana Bavan, D., Mohan Kumar, G.C.: Potential use of natural ﬁber composite materials in India. J. Reinf. Plast. Compos. 29(24), 3600–3613 3. van Vuure, A.W., Baets, J., Wouters, K., Hendrickx, K.: Compressive properties of natural ﬁbre composites. In: 20th International Conference on Composite Materials 4. Bos, H.L.: The potential of flax ﬁbres as reinforcement for composite materials. Technische Universiteit Eindhoven. Proefschrift. ISBN 90-386-3005-0, NUR 913 (2004) 5. Andersons, J., Joffe, R., Sparniš, E.: Stiffness and strength of flax ﬁber/polymer matrix composites. Polym. Compos. 27(2), 221–229 (2006) 6. Yan, L., Chouw, N., Jayaraman, K.: Flax ﬁbre and its composites—a review. Compos. B 56, 296–317 (2014) 7. Uma Devi, L., Bhagawan, S., Thomas, S.: Mechanical properties of pineapple leaf ﬁber-reinforced polyester composites. Polym. Compos. (2011) 8. Pothan, L.A., Thomas, S., Neelakantan, N.R.: Short banana ﬁber reinforced polyester composites: mechanical, failure and aging characteristics. Reinf. Plast. Compos. (1997)

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9. Sandeep, M.B., Choudhary, D., Inamdar, Md. N., Rahaman, Md. Q.: Experimental study of effect of ﬁber orientation on the flexural strength of glass/epoxy composite material. Int. J. Res. Eng. Technol. 10. Nunna, S., Ravi Chandra, P., Shrivastava, S., Jalan, A.K.: A review on mechanical behavior of natural ﬁber based hybrid composites. J. Reinf. Plast. Compos. (2014) 11. Sandesh, K.J., Umashankar, K.S., Madappady, C., Mohan Kumar, N.M., Thejesh, C.K.: Effect of stacking sequence on mechanical/vibration characteristics of kevlar/glass hybrid reinforced polymer composites. Int. Adv. Res. J. Sci. Eng. Technol. (2016) 12. Uleiwi, J.K., Dr.: Experimental study of flexural strength of laminate composite material. Eng. Technol. 25 (2007) 13. Zhu, J., Zhu, H., Njuguna, J., Abhyankar, H.: Recent development of flax ﬁbres and their reinforced composites based on different polymeric matrices. Materials 6(11), 5171–5198. https://doi.org/10.3390/ma6115171 (2013) 14. Khan, Z., Patil, R.J.: Composite ﬁber-resin lamina, compared by ﬁnite element analysis and analytical solution. Int. J. Res. Aeronaut. Mech. Eng. (2014) 15. Nurhaniza1, M., Arifﬁn, M.K.A., Ali, A., Mustapha, F., Noraini, A.W.: Finite element analysis of composites materials for aerospace applications. In: 9th National Symposium on Polymeric Materials (NSPM 2009)

Design Evaluation of a Mono-tube Magnetorheological (MR) Damper Valve Solomon Seid, Sujatha Chandramohan and S. Sujatha

Abstract The primary purpose of this paper is to identify performance indices and evaluate a design of a mono-tube MR damper valve, as a result of which relations among performance indices and possible design approaches are explored. To achieve this, initial design of a mono-tube MR damper valve is considered. Common MR damper valve conﬁguration is adopted to which initial design parameters are speciﬁed. Performance indices that need to be considered while evaluating the design of a mono-tube magnetorheological (MR) damper valve are identiﬁed, and mathematical models are developed. The performance indices of the damper valve depend upon the magnetic circuit design of the valve; hence, for the adopted MR damper valve conﬁguration, ﬁnite element model is built to analyze and investigate the performance indices of a 2-D axisymmetric MR damper valve. All performance indices of the damper valve are simulated within given range of input current and number of turns of coil. The simulation results show that the design of the MR dampers is highly dependent on the performance indices, and hence, the MR damper design should be application oriented. The results obtained in this work provide an insight for designers to create more efﬁcient and reliable MR dampers.

Keywords Magnetorheological (MR) damper valve Performance indices Damping force Magnetic flux density Magnetic ﬁeld intensity

S. Seid (&) College of Engineering, Defence University, Bishoftu, Ethiopia e-mail: [emailprotected] S. Chandramohan S. Sujatha Machine Design Section, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, India e-mail: [emailprotected] S. Sujatha e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_15

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1 Introduction A magnetorheological (MR) damper is a smart material device used in a semi-active control system to mitigate unwanted vibration. For its advantages in terms of compactness, high forces, low power consumption, smoothness, and safety of operation, it can be used in a wide variety of ﬁelds ranging from automotive to rehabilitation. It has been applied in the domain of automobile, armed vehicle, civil engineering as well as aerospace, and other ﬁelds. In the last decade, many researchers have carried out studies on semi-active control systems. Researchers have shown that designs that make use of MR fluids and devices are potentially simpler, more reliable, and consistent than conventional electromechanical devices. Nguyen and Choi [1] designed a vehicle MR damper considering damping force and dynamic range. Gudmundsson et al. [2] developed an MR rotary valve for prosthetic knee application considering weight and torque produced. Solomon et al. [3, 4], authors’ previous work, designed and evaluated effectively an MR damper for prosthetic knee application in normal level-ground walk. From the available literature, it is apparent that the study of performance indices for MR damper valve and their impact on the damper design have been unexplored. In this study, the authors have considered an ideal conﬁguration of a mono-tube MR damper valve to study the impact of the performance indices on the damper. The damper performance indices are evaluated, and the results show that in effective design approach of MR damper, one can improve particular aspects of the performance indices of the damper for intended applications.

2 Performance Indices and Mathematical Models Performance indices of the MR damper are identiﬁed to be damping force, dynamic range, valve ratio, inductive time constant, on-state pressure drop, mass of the MR damper valve, and electric power consumption. They are developed based on the quasi-static model of MR damper valves, where the equations are derived based on the assumption that the MR fluid exhibits Bingham plastic behavior, and the flow is fully developed in the ducts [5]. Schematic representation of a single-coil valve with annular duct is shown in Fig. 1, and the Bingham’s plastic flow model is given by equation [5]: s ¼ g_c þ sy ðHMR Þsgnðc_ Þ; jsj sy

and

s ¼ Gc; jsj\sy

ð1Þ

where s is fluid shear stress, sy is yield stress developed as a result of the applied ﬁeld, c_ is the fluid shear strain rate,c is fluid shear strain, and G is complex shear modulus. Equation (1) is used to design a device which works on the basis of MR

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Fig. 1 Schematic conﬁguration of a single-coil. a MR damper, b MR valve

fluid. The total pressure drop in the damper is evaluated by summing the viscous component and yield stress component, which is approximated as follows [6]: DP ¼ DPg þ DPs ¼ 6gHQ=ðpg3 R1 Þ þ 2cLpsy =g1

ð2Þ

In which DP is the pressure drop of the MR fluid flow through the oriﬁce gap of the valve, DPs is the applied ﬁeld dependent pressure drop, DPg is the applied ﬁeld independent pressure drop, g is the plastic viscosity of MR fluid without applied magnetic ﬁeld, and Q is volumetric rate of flow. The parameter c is a coefﬁcient which depends on the flow velocity proﬁle, and it has a value varying from 2.07 to 3.07. The coefﬁcient c can be approximately estimated as follows [1, 6]: c ¼ 2:07 þ 12Qg þ12Qg 0:8pR1 d 2 sy . R1 is the average radius of the duct given as a distance between the axis of the valve and the centroid of the duct. For the rectangular annular duct, R1 is given by: R1 ¼ R d 0:5g1 . Upon ﬁtting a polynomial to the MR fluid (MRF132-DG) data from Lord Corporation, the induced yield stress of the MR fluid as a function of the applied magnetic ﬁeld intensity of MR fluid along the pole length, HMR, can be approximately expressed as [5]: 2 3 sy ¼ C0 þ C1 HMR þ C2 HMR þ C3 HMR

ð3Þ

In Eq. (3), the unit of the yield stress is in kPa while that of the magnetic ﬁeld intensity is in kA/m. The coefﬁcients C0, C1, C2, and C3 determined from experimental results by applying the least squares curve ﬁtting method are, respectively, identiﬁed as 0.3, 0.42, −0.00116, and 1.05 10−6. Damping force is given by [1, 6],

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Fd ¼ Pa As þ Cvis x_ p þ FMR sgn x_ p where Pa ¼ Po

Vo Vo þ As xp

ð4Þ

2cL 6gH and FMR ¼ Ap As g1 p sy , Cvis , Cvis ¼ pR 3 Ap As 1g 1

is the damping coefﬁcient, FMR is the frictional force, which is related to the fluid yield stress, Pa is pressure in the gas chamber, Po is the initial pressure in the gas chamber, Vo is the initial volume of the gas chamber, As is the effective cross-sectional area of the shaft, and xp is the displacement of the piston. The parameter k represents the coefﬁcient of thermal expansion, which varies between 1.4 and 1.7. Ap is the effective cross-sectional area of the piston. x_ p is velocity of the piston. Therefore, the followings are derived mathematical models of the performance indices: Dynamic range [6], Fo þ Cvis x_ p þ FMR sgn x_ p kd ¼ Fo þ Cvis x_ p Valve ratio [6], k¼

DPg 3gHQ ¼ 2 DPs pg1 R1 cLp sy

ð5Þ

ð6Þ

On-state pressure drop [6], DPs ¼

2cLp sy g1

ð7Þ

Inductive time constant of the valve [1, 6], T¼

2R1 Aw

R Lp

BMR ðsÞds r dILp 0

ð8Þ

Electrical power consumption [6], N ¼ I 2 Rw

ð9Þ

where BMR is the magnetic flux density of the MR fluid along the pole length, Aw is the cross-sectional area of the coil wire, r represents the resistivity of the coil wire, 0.01726 10−6 X m for copper wire, I is the electrical current applied to the valve, and d is the average diameter of the coil, which can be given as d ¼ R d g1 W2c , Rw ¼ Nc pd Arw , and Nc ¼ AAwc . Rw is the resistance of the coil wire, and Nc is the number of coil turns.

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3 Finite Element Model of MR Damper Valve The MR damper valves consist of a piston over which the coil is wound, and a gap is maintained between the inner and outer pistons. The piston is made up of low carbon cold rolled steel SAE 1020 due to its high relative permeability; materials adopted are shown in Table 1. Figure 2a shows the 2-D axisymmetric MR damper piston and its components. Number of elements per line is used for specifying meshing size. Several simulations with different mesh size have been conducted in order to ﬁnd optimum mesh size, which generates accurate results efﬁciently. The number of elements on the lines across the MR fluid oriﬁce is speciﬁed as a parameter called a basic meshing number. The number of elements of other lines in the model is selected as a product of the basic meshing number and an appropriate scalar. This method of meshing has also been adopted in previous work [1]. For this work, it has been found that the basic meshing number 23 is sufﬁciently accurate to ensure the convergence of the ﬁnite element solution. The 2-D axisymmetric ﬁnite element model of the adopted conﬁguration of the damper valve is also shown in Fig. 2b. The model is analyzed and computed for the variation of magnetic ﬁeld intensity and magnetic flux density along the active length of the pole, path-AA in Fig. 2c, in ANSYS 2014, with PLANE53 elements; they are computed as follows R Lp R Lp B ðsÞds HMR ðsÞds 0 [1]: BMR ¼ 0 MR and H ¼ . BMR(s) and HMR(s) are the magnetic MR Lp Lp

Table 1 Materials adopted Valve components

Material and density

Relative permeability

Saturation flux (T)

Valve core Valve housing MR fluid Coil

SAE1020 (7870 kg/m3) SAE1020 (7870 kg/m3) MRF 132 DG (2950 kg/m3) Copper (24-Guage) (8900 kg/m3)

B-H curve B-H curve B-H curve 1

2.390 2.390 1.65 –

Fig. 2 a 2-D axisymmetric MR damper valve, b ﬁnite element model of the valve, c flux lines around the electrical coil and the path-AA for computing HMR and BMR, d magnetic flux density (Tesla) of the initial model at 2 A

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flux density and magnetic ﬁeld intensity, respectively, at each nodal point located on the deﬁned path-AA, Fig. 2c. The variation of magnetic flux density at 2 A is shown in Fig. 2d.

4 Simulation Results and Analysis for Initial Design The aforementioned performance indices of the valve are computed for the conﬁguration of the piston valve, and the results are shown in Fig. 3. For the initial design of desired MR damper, the dimensions of the valve and parameters adopted are: active pole length, Lp = 5 mm, initial volume of the gas chamber, Vo = 6371.15 mm3, coil width, Wc = 6 mm, displacement of the piston, xp = 28.13 mm, outer piston thickness, d = 3 mm, radius of piston shaft, Rs = 5 mm, duct gap length, g1 = 1 mm, range of applied current, I = 0.1–2 A, radius of the valve, R = 16 mm, number of turn of coil, Nc = 294, height of the valve, H = 20 mm, copper wire diameter (for 24-gauge), dc = 0.51 mm, and initial pressure of the gas chamber, Po = 5.45 N/mm2. The simulation results depicted in Fig. 3 show the performance indices of the initial model within the range of 0.1–2.0 A.

5 Discussion From Fig. 3, it can be observed that variations in performance indices have been signiﬁcantly affected by the input current variation. As the input current increases, magnetic ﬁeld intensity, magnetic flux density, damping force, dynamic range, and

Fig. 3 MR damper performance indices for initial design

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shear stress increase, but valve ratio and inductive time constant decrease. However, the increase or decrease in respective performance indices is not uniform before and after about 0.5 A. This is because of the fact that as the current increases, the system tends toward the saturation limit of the MR fluid, where any increase in input current cannot change the performance indices, 1.65 T. It should also be noted that the increase in current is directly related to the increase of electrical power consumption. In designing an MR damper valve, high damping force, high dynamic range, low inductive time constant, low electric power consumption, high on-state pressure drop due to yield stress, low valve ratio, and low weight are generally desired. From the result depicted, the MR fluid magnetic flux density along path-AA is 0.55 T. Therefore, as long as the magnetic flux density of MR fluid is below its saturation limit, one can have varieties of possible design approach to optimally design the MR damper valve by making trade-off among the performance indices, depending upon the application.

6 Conclusions In this work, performance indices of the MR damper that need to be considered while designing a mono-tube MR damper have been presented. The MR damper valve, constrained in a speciﬁc volume, was designed through ﬁnite element method with the objective of evaluating the performance indices at 2 A. The developed methodology can also be adopted for other types of MR damper valve such as twin tube and rotary MR damper valves. Future work includes application oriented optimal design and performance evaluation of an MR damper valve.

References 1. Nguyen, Q.H., Choi, S.B.: Optimal design of a vehicle magnetorheological damper considering the damping force and dynamic range. Smart Mater. Struct. 18(1), 015013–015022 (2008) 2. Gudmundsson, K., Jonsdottir, F., Thorsteinsson, F.: A geometrical optimization of a magneto-rheological rotary brake in a prosthetic knee. Smart Mater. Struct. 19(3), 035023– 035033 (2010) 3. Solomon, S., Sujatha, S., Sujatha, C.: Design of controller for single-axis knee using MR damper. In: Proceedings of ECCOMAS Thematic Conference on Multibody Dynamics, pp. 989–998, International Center for Numerical Methods in Engineering (CIMNE), Barcelona, Catalonia, Spain (2015) 4. Solomon, S., Sujatha, S., Chandramohan, S.: Performance evaluation of magnetorheological damper valve conﬁgurations using ﬁnite element method. Int. J. Eng. (IJE), Trans. B: Appl. 30 (2), 303–310 (2017) 5. Jolly, M.R., Bender, J.W., Carlson, J.D.: Properties and applications of commercial magnetorheological fluids. J. Intell. Mater. Syst. Struct. 10(1), 5–13 (1999) 6. Nguyen, Q., Choi, S., Lee, Y., Han, M.: An analytical method for optimal design of MR valve structures. Smart Mater. Struct. 18(9), 095032–095044 (2009)

Characterization of Soot Microstructure for Diesel and Biodiesel Using Diesel Particulate Filter Indranil Sarkar, Ritwik Raman, K. Jayanth, Aatmesh Jain and K. C. Vora

Abstract Diesel fuel exhaust, produced in an internal combustion engine, also contains particulate matter. Its composition differs based on the type of fuel, its consumption rate, and the mode of engine operation. International Agency for Research on Cancer (IARC) has classiﬁed diesel exhaust as a carcinogenic, inhaling which can cause lung cancer. A standard wall-flow ﬁltration device like diesel particulate ﬁlter (DPF) is used to remove particulate matter or soot from diesel exhaust. With BS-VI emission norms, the emission standards have become stricter and thus an attempt is made to compare the microstructure and amount of soot produced by diesel and a biodiesel blend. The use of biodiesel is increasing continuously since it has lower net CO2 emission, and the EU demands the use of renewable sources in the transport sector. It has been found, by weighing the respective DPFs, that engine running with biodiesel blends is producing less soot. Size of soot particles affects its reactivity during ﬁlter regeneration. Soot trapped is analyzed under a scanning electron microscope (SEM) to observe its structure and density. EDX analysis revealed the presence of zinc in low concentration in biodiesel soot. This also indicates uniform blending of biodiesel. Keywords Soot microstructure

DPF Biodiesel SEM EDX

1 Introduction India is in the transition toward the Bharat VI which imposes stringent emission norms on the automobile sector. Heavy-duty vehicles and diesel cars will need the diesel particulate ﬁlters (DPFs) which are one of the aftertreatment devices used to meet the norms [1]. The BS-VI norms specify that the PM should be limited to 6 1011 [2]. These soot particles, a by-product of the combustion of fuel, are released into the atmosphere [3, 4]. Even though the concentration of these particles I. Sarkar (&) R. Raman K. Jayanth A. Jain K. C. Vora ARAI Academy, Pune, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_16

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are very less, its presence in the atmosphere causes serious health issues and also affects global warming by absorbing solar radiations [5]. Thus, reduction of these soot particles must be ﬁltered out before they reach the atmosphere. DPFs are the standard wall-flow ﬁltration devices used to ﬁlter the particulate matter effectively. These DPFs are honeycomb structures made of ceramics like cordierite and silicon carbide. These have a series of parallel flow paths that are plugged alternatively to force the gases to pass through the ﬁlter. The porosity, mean diameter of pore, and wall thickness determine the efﬁciency of the wall-flow DPFs [6–8]. The percentage of soot particles that are trapped by the DPF depends on the pore diameter. Trapping efﬁciency of DPF decreases as the pore size decreases. After certain duration, it will clog the ﬁlter and thus regeneration is required. Filter regeneration burns the soot into harmless ash thus clearing the pathways for continuous ﬁltration. In recent research, the use of biofuels has been dedicated to improve the performance of the engines and also to counter the fast depletion of fossil fuels. The biofuels also have effects on the soot particles. The biodiesel produces less CO2 and particulate matter than diesel, but it produces more NOx emission. Thus in this paper, the effects of the biodiesel on soot particles is studied and compared with that of the diesel. Recent research involving scanning electron microscope (SEM) and transmission electron microscopy (TEM) analysis of soot particles of diesel and biodiesel blends showed that B100 have less soot deposition and contains more ashes than B20 and diesel [9–13].

2 Experimental Setup A cylindrical casing is mounted between the calorimeter and exhaust pipe. The DPF is ﬁxed inside the casing. Two valves are provided on either side of the DPF to connect the manometer that is used to measure the pressure drop across the DPF. The two DPFs were operated on the same engine (Fig. 1). The characteristics of the engine are summarized in Table 1. Two DPFs made of cordierite, 30 mm diameter, 60 mm long, wall thickness of 0.12 mm, and volume weight of 550 g/L, have been used in this study.

2.1

Fuels Used

Commercially available diesel fuel (2-D) was used in this experimentation which was obtained from gas station. Pongamia oil is extracted from the seeds of the Millettia pinnata tree. In this investigation, B20 blend was used. Pongamia is an oilseed-bearing tree, which is non-edible and does not ﬁnd any suitable application with only 6% being utilized

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Fig. 1 Casing of DPF

Table 1 Speciﬁcation of engine

Engine parameter No. of cylinder Cubic capacity Rated speed

Unit

Value

L Rpm

1 0.553 1500

out of 200 million tons per annum [14]. Under optimal condition, pongamia oil can yield maximum amount of methyl ester (97–98%) which is basically the main reason behind the use of pongamia oil in this research [15]. Also, it can grow on debased and minimal land, not at all like numerous edible yields.

2.2

Transesteriﬁcation of Pongamia Oil

Transesteriﬁcation of pongamia oil using base catalysts (NaOH and KOH): Pongamia oil is transesteriﬁed by warming them with a vast overabundance of dehydrated methanol and a catalyst. The dehydrated unreﬁned oil was collected in two different beakers and warmed up to 60 °C. Methanol with measured amounts of momentum broke up, in it by vivid mixing was individually added to the measuring glasses containing the oil. The response blend was mixed at 300 rpm for 45 min at 60 °C. Cooling of transesteriﬁed oil was done and in this way permitted to settle overnight in an isolating pipe. The transesteriﬁcation procedure brings about two fluid stages: ester and unreﬁned glycerin. Rough glycerin, the heavier part is isolated after total settling in an isolating channel. The rest of the ester (biodiesel) is washed a few times with water until the ester layer turns out to be clear. The resultant biodiesel is collected and put away for further studies [16].

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Table 2 Property of oil after esteriﬁcation [17] Property

Karanja

Diesel

IS for biodiesel

Density (kg/m2) Kinematic viscosity (stokes) Flash point (°C) Fire point (°C) Heating value (kJ/kg) Speciﬁc gravity

88.5 5.60 217 223 36,120 0.876

836 3.8 56 63 42,800 0.85

860–900 2.5–6 120 130 37,270 0.86–0.90

Fig. 2 Diesel DPF (left) and biodiesel DPF (right)

The properties of diesel and biodiesel are given in Table 2. Substantial difference in the amount of soot deposition is seen in the state of DPF after running the engine for 100 min (Fig. 2).

3 Results and Conclusions Percentage increase in weight of DPF directly corresponds to weight of soot collected. Engine running on diesel produced almost 32% more soot compared to that on B20 blend (Table 3).

3.1

SEM Results

Distribution of soot particles is seen in Fig. 3a. There is no cluster formation as such because of its inherent stability. Rather than spherical, the soot particles are ellipsoidal in shape. The average particle size along minor axis is about 100 nm and around 200 nm about the major axis.

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Table 3 Weight of DPF before and after experimentation Weight

Diesel (g)

B20 (g)

Initial Final % Increase

60.0304 60.098 0.112

60.5060 60.558 0.085

Fig. 3 a SEM result of diesel soot, b SEM results of B20 soot

Shape and size of the soot for both fuels are found to be approximately same. Figure 3b shows the results of SEM analysis on soot from biodiesel. Agglomeration of individual soot particles is observed leading to big cluster formations and a non-uniform distribution. The instability could be attributed to the highly reactive zinc present in the biodiesel soot as discovered in the EDX analysis.

3.2

EDX Analysis

The EDX analysis of diesel soot gives the composition of the soot: 73% by weight is carbon white and 27% oxygen (Table 4).

Table 4 Diesel and biodiesel soot composition

Element

CK OK Zn K Total

Diesel Weight % 73.16 26.84 0 100

Atomic %

Biodiesel Weight %

Atomic %

78.40 21.60 0 100

73.11 26.34 0.55 100

78.62 21.27 0.11 100

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Biodiesel soot, as observed from the EDX analysis, contains trace amounts of highly reactive elements like Zn. This causes the individual soot particles to form clusters as observed in the SEM analysis. Formation of such globular structure can be attributed to reactive elements like Zn, Ca, and P. Since a 20% blend is used, only trace quantity of Zn is observed in the EDX (Figs. 4, 5, 6, and 7).

Fig. 4 Spectrum: diesel soot particles

Fig. 5 EDX spectrum diesel soot

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Fig. 6 Spectrum: B20 soot particles

Fig. 7 EDX spectrum biodiesel soot

4 Conclusion On the basis of macroscopic and microscopic investigation of particulate matter collected in the DPFs operating with the same engine, the following conclusions can be drawn: The soot formation in the case of the B20 blend is less than that of the diesel. Engine running on diesel produced 32% more soot compared to the one running on B20 blend.

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1. Average particle size of soot particles is same around 100–200 nm depending on the axis as the particles are ellipsoidal in shape. 2. Diesel soot is distributed, stable, and does not contain any trace elements. 3. B20 blend soot is highly unstable due to the presence of reactive elements like Zn and other elements in trace amounts. Cluster formation takes place because of the use of 20% blend. 4. More accurate conclusions can be drawn if SEM and TEM analyses are conducted for a range of biodiesel blends. Acknowledgements We would like to thank Automotive Research Association of India (ARAI) and Vellore Institute of Technology (VIT) for giving us the opportunity to take up this project. To Mr. Aatmesh Jain and Dr. K. C. Vora, we wish to express our gratitude for guiding and helping us when we needed. We want to acknowledge the staff at the SEM analysis laboratory who found time in their busy schedule to help us complete our project. Finally, we want to mention the staff at engine laboratory who were patient enough to teach us how to operate the engine safely and helped us when we needed, thank you.

References 1. Adler, J.: Ceramic diesel particulate ﬁlters. Int. J. Appl. Ceram. Technol. 2(6), 429–439 (2005) 2. Regulation (EC) No 715/2007 of European Parliament and of the Council of 20 June 2007 3. Patricia Sierra-Vargas, M., Teran, L.M.: Air pollution: impact and prevention. Respirology 17, 1031–1038 (2012) 4. Heal, M.R., Kumar, P., Harrison, R.M.: Particles, air quality, policy and health. Chem. Soc. Rev. 41, 6606–6630 (2012) 5. McEnally, C.S., Pfefferle, L.D., Atakan, B., Kohse-Höinghaus, K.: Studies of aromatic hydrocarbon formation mechanisms in flames: Progress towards closing the fuel gap. Prog. Energy Combust. Sci. 32, 247–294 (2006) 6. Nova, I., Bounechada, D., Maestri, R., Tronconi, E., Heibel, A.K., Collins, T.A., Boger, T.: Influence of the substrate properties on the performances of NH3-SCR monolithic catalysts for the after treatment of diesel exhaust: an experimental and modeling study. Ind. Eng. Chem. Res. 50(1), 299–309 (2011) 7. Neyertz, C.A., et al.: K/CeO2 catalyst supported on cordite monoliths: diesel soot combustion study. Chem. Eng. J. 181-182, 93–102 (2012) 8. Pidria, M.F., et al.: Mapping of diesel soot regeneration behavior in catalyzed silicon carbide ﬁlters. Appl. Catalyst B: Environ. 70(1-4), 241–246 (2007) 9. Liati, A., Eggenschwiler, P.D., et al.: Comparative studies of particles deposited in diesel particulate ﬁlters operating with biofuel, diesel fuel and fuel blends. In: SAE International (2011) 10. Mokhri, M.A., Abdulla, N.R., et.al.: Soot ﬁltration in recent simulation analysis in Diesel Particulate Filter (DPF). Procedia Eng. 41 (2012) 11. Ess, M.N., Bladt, H., et al.: Reactivity and structure of soot generated at varying biofuel content and engine operating parameters. Combust. Flame 163 (2016) 12. Lamharess, N., Millet, C.-N., et al.: Catalyzed diesel particulate ﬁlter: study of the reactivity of soot arising from biodiesel combustion. Catal. Today 176 (2011) 13. Popovicheva, O., Engling, G., et al.: Diesel/biofuel exhaust particles from modern internal combustion engines: microstructure, composition and hygroscopicity. Fuel 157 (2015)

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14. Biswas, D.: Parivesh, Biodiesel as Automobile Fuel. Central Pollution Control Board, Ministry of Environment and Forests. Available from: http://www.cpcb.delhi.nic.in/diesel/ ch70902.htm (2002) 15. Meher, L.C., Dharmagadda, V.S.S., Naik, S.N.: Optimization of alkali-catalyzed transesteriﬁcation of Pongamia pinnata oil for production of biodiesel 16. Vuppaladadiyam, A.K., Sangeetha, C.J., Sowmya, V.: Transesteriﬁcation of Pongamia pinnata oil using base catalysts: a laboratory scale study. Univers. J. Environ. Res. Technol. 3 (1), 113–118 (2013) 17. Mamilla, V.R., Mallikarjun, M.V., et al.: Preparation of biodiesel from Karanja oil. Int. J. Energy Eng. IJEE0102008

Performance of Diesel Particulate Filter Using Metal Foam Combined with Ceramic Honeycomb Substrate Hardik Sarasavadiya, Manthan J. Shah, Indranil Sarkar and Aatmesh Jain

Abstract Although diesel engines have higher thermal and volumetric efﬁciencies, sufﬁciently large amount of particulate matter (PM) including soot is emitted during its exhaust stage. Thus, a need is raised for implementation of the diesel particulate ﬁlters (DPFs) in diesel engines as it has become the customary technology for the control of soot aerosol emissions. An analytical study of the performance of a circular ceramic honeycomb substrate (cordierite) diesel particulate ﬁlter with and without the use of metal foam ﬁlter at both ends as well as variation in channel length of ceramic substrate is reported to observe the change in the amount of soot particles trapped and pressure drop along its axis. The drop in pressure and ﬁltration process depends on the ﬁlter pore structure properties such as permeability, porosity (40%) as well as channel length (60 and 100 mm). For each case, the depositions of soot through the ﬁlter were calculated by weighing approach, optimum drop in pressure using water U-tube manometer, and permeability of material by adopting graphical approach. However, after certain time, it is observed that due to increase in the accumulation of soot inside the diesel particulate ﬁlter there is a rise in pressure loss.

Keywords Diesel engines After treatments Diesel particulate ﬁlter Ceramic honeycomb subtract Metal foam ﬁlter Pressure drop Permeability

Deﬁnition, Acronyms, Abbreviations a A Aﬁlt B

honeycomb ﬁlter cell size coefﬁcient in linear ﬁt ﬁltration area coefﬁcient in linear ﬁt

H. Sarasavadiya (&) M. J. Shah I. Sarkar Department of Automotive Engineering, VIT University, Vellore, India e-mail: [emailprotected] A. Jain ARAI Academy, Pune, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_17

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dpore D Fw Kw L Q Vmon ww Kw T HC NOx PM SFC DPF CPSI PPM CHS mA mB

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pore diameter ﬁlter outer diameter factor equal to 28.454 ﬁlter wall permeability ﬁlter outer length exhaust volumetric flow rate effective ﬁlter volume ﬁlter wall thickness permeability of wall temperature of exhaust gas hydrocarbon nitrogen oxide particulate matter speciﬁc fuel consumption diesel particulate ﬁlter cells per square inch part per million ceramic honeycomb substrate Sample-A with metal foam Sample-B with metal foam

Greek Letters bF DP n l r

Forchheimer’s coefﬁcient pressure drop across the ﬁlter contraction/expansion inertial losses coefﬁcient exhaust dynamic viscosity honeycomb ﬁlter cell density or standard deviation

1 Introduction In comparison with equivalent gasoline engines, diesel engines have comparatively higher thermal and volumetric efﬁciency, lesser fuel consumption and CO2 emissions [1]. At the same time, it emits higher NOx and particulate matter (PM) including soot particles (solid) in the exhaust gas. The reason behind the formation of complex multi-component particulate matter is due to the improper mixing of sprayed fuel droplets with the abundant oxygen at a molecular level during its combustion process. There is a sequence of pathways leading to the formation of polycyclic structures, which are the source for generation of soot particles. The composition of diesel PM is uneven, depending on where in the engine they are formed and how they are trapped [2]. These ﬁne particles (i.e., CH4 > N2 > CO2 CH4 > N2 > CO2 > He He > CO2 > N2 > CH4 CH4 > He > N2 > CO2 He > CH4 > N2 > CO2 CO2 > N2 > CH4 > He CO2 > N2 > CH4 > He He > N2 > CO2 > CH4 CH4 > CO2 > N2 > He He > N2 > CO2 > CH4 He > CH4 > N2 > CO2 He > CH4 > N2 > CO2 He > CH4 > N2 > CO2

Fig. 2 Pressure proﬁle along the axial direction for different gases

The comparison between different gases for all the fluid properties (measured or calculated) is carried out at the same inlet mass flowrate (1 g/s). It can be seen from Table 1 that viscosity is greatest for helium and smallest for methane for same inlet mass flowrates whereas Reynolds number is greatest for methane and smallest for helium because the Reynolds number is inversely proportional to the viscosity. Hence, it can be concluded that even the Reynolds number is directly proportional to the density and velocity, but it is mostly governed by viscosity in case of a

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porous stainless steel tube. The viscous sublayer thickness follows the same trend as of viscosity. It can also be seen from Table 1 that pressure is not the only the factor which governs the ﬁltration or permeation through the porous media because pressure inside the main flow is the highest in case of helium (Fig. 2), but the porous flow is the smallest (Fig. 3). The viscous sublayer thickness is the smallest in case of methane (Fig. 4) and the corresponding porous flowrate is maximum. It is basically due to the momentum in radial direction (My) (Fig. 5) which is almost ﬁve times higher compared to the nitrogen and carbon dioxide cases.

Fig. 3 Percentage of primary outlet flow along the porous tube for different gases

Fig. 4 Evolution of viscous sublayer along the axial direction for different gases

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Fig. 5 Momentum of gas particles in radial direction (My) for different gases

Fig. 6 Velocity proﬁle along the axial direction for different gases

In case of helium, momentum in radial direction (My), viscous sublayer thickness, and pressure inside the tube (Pz) all are higher compared to all other gases, but still the permeate flow is the least. It is due to the velocity in axial direction which is very high and almost ﬁve times higher than that of nitrogen, carbon dioxide, and methane for the same inlet mass flowrate (Fig. 6). This does not allow the gas particles enough time to permeate and results in a lesser permeate flow. The velocity is inversely proportional to the density. As density of helium is very small due to the small molecular mass compared to other gases, it results in very high velocity. Therefore, it cannot be said that one parameter is responsible for the permeate flow. It is an interaction between a number of fluid parameters that govern the fluid flow inside the porous tube. However, the increase in permeate flow along the axial

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direction is deﬁnitely due to the viscous sublayer thickness [1]. It can also be concluded from Figs. 3 and 6 that there is a balance between the porous flow and the main flow. If the main flow speed is high, then the throughflow is more limited. Again, this can be seen as a “flow resistance” which is higher in the radial direction than in the axial and consequently the permeation is limited. The fluid flow analysis for different fluids helps in identifying the fluid parameters that should be looked upon while studying the fluid flow inside the porous channel. It should be noted that the fluid flow is governed by a number of parameters which are acting together and driving the flow.

4 Conclusion Fluid flow analysis is performed using nitrogen, carbon dioxide, methane, and helium, and various fluid properties are determined using the measured experimental data. The comparisons have been made between all the studied gases. The potential parameters that can affect the permeation process inside the porous stainless steel tube are velocity of the main flow, Vz (i.e. axial flow), momentum in the main flow, Mz (i.e., in axial direction), momentum in the radial direction, My, density, q, and viscosity, µ. The permeation process inside the porous tube does not only depend upon the inlet pressure. The variation in fluid properties changes the physics of permeation and can be used for gas separation purpose if implied effectively. In the future work, different types of mixtures such as He/CH4 and CH4/ CO2 will be considered for the fluid flow analysis inside the porous tube.

References 1. Najmi, H., El-Tabach, E., Gascoin, N., Chetehouna, K., Lamoot, L.: Falempin, F: Fluid flow analysis to describe the permeation process along the length of the porous tube. Int. J. Hydrogen Energy 42, 25531–25543 (2017) 2. Wang, M., Lawal, A., Stephenson, P., Sidders, J.: Ramshaw, C: Post-combustion CO2 capture with chemical absorption: a state-of-the-art review. Chem. Eng. Res. Des. 89, 1609–1624 (2011) 3. Pangrle, B., Alexandrou, N., Dixon, G., Dibiasio, D.: An analysis of laminar fluid flow in porous tube and shell systems. Chem. Eng. Sci. 46, 2847–2855 (1991) 4. Gascoin, N., Fau, G., Gillard, P., Kuhn, M., Bouchez, M., Steelant, J.: Comparison of two permeation test benches and of two determination methods for Darcy’s and Forchheimer’s permeabilities. J. Porous Media 15, 705–720 (2012) 5. Gascoin, N.: High temperature and pressure reactive flows through porous media. Int. J. Multiph. Flow 37, 24–35 (2011) 6. Najmi, H., El-Tabach, E., Chetehouna, K., Gascoin, N., Akridiss, S., Falempin, F.: Flow Conﬁguration Influence on Darcian and Forchheimer Permeabilities Determination. Springer Lecture Notes Mech. Eng. ‘IDAD’, pp. 87–94 (2017)

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7. Najmi, H., El-Tabach, E., Chetehouna, K., Gascoin, N., Falempin, F.: Effect of flow conﬁguration on Darcian and Forchheimer permeabilities determination in a porous composite tube. Int. J. Hydrogen Energy 41, 316–323 (2015) 8. Barreiro, M., Maroño, M., Sánchez, J.: Hydrogen permeation through a Pd-based membrane and RWGS conversion in H2/CO2, H2/N2/CO2 and H2/H2O/CO2 mixtures. Int. J. Hydrogen Energy 39, 4710–4716 (2014) 9. Miyajima, K., Eda, T., Nair, B., Iwamoto, Y.: Organic–inorganic layered membrane for selective hydrogen permeation together with dehydration. J. Memb. Sci. 421, 124–130 (2012) 10. Chen, W., Hsu, P.: Hydrogen permeation measurements of Pd and Pd-Cu membranes using dynamic pressure difference method. Int. J. Hydrogen Energy 36, 9355–9366 (2011) 11. Shamsabadi, A., Kargari, A., Babaheidari, M., Laki, S., Ajami, H.: Role of critical concentration of PEI in NMP solutions on gas permeation characteristics of PEI gas. J. Ind. Eng. Chem. 19, 677–685 (2013) 12. Chi, Y., Yen, P., Jeng, M., Ko, S., Lee, T.: Preparation of thin Pd membrane on porous stainless steel tubes modiﬁed by a two-step method. Int. J. Hydrogen Energy 35, 6303–6310 (2010) 13. Chen, W., Chi, I.: Transient dynamic of hydrogen permeation through a palladium membrane. Int. J. Hydrogen Energy 34, 2440–2448 (2009) 14. Najmi, H., El-Tabach, E., Gascoin, N., Chetehouna, K., Lamoot L., Falempin, F.: Permselectivity bench to study permation along porous tube. In: 21st AIAA International Space Planes and Hypersonics Technologies Conference, Xiamen, China (2017) 15. Poling, B., Prausnitz, J., O’Connell, S.: The properties of gases and liquids. McGraw-Hill Prof (2001). ISBN-13: 063-9785322160 16. Arakeri, J.: Bernoulli’s equation, Resonance. 5, 54–71 (2000)

Diesel Engine Cylinder Head Port Design for Armored Fighting Vehicles: Compromise and Design Features Hari Viswanath, A. Kumarasamy and P. Sivakumar

Abstract The cylinder head of diesel engines for armored ﬁghting vehicles (AFVs) should be compact and lightweight and has to operate under severe loading conditions. The cylinder head of a direct-injection (DI) diesel engine has to admit charge to the cylinder and expel the exhaust gas with minimum pumping losses, with required swirl and other properties of charge motion. It must also provide features like mounting of injector, sealing of combustion gases, and maintaining acceptable temperature of the components. The cylinder head is therefore a critical and a complex component in AFV diesel engines. This paper discusses the layout options of intake port and design features that can be applied to the cylinder head of four-stoke direct-injection diesel engines for AFVs. The head layouts followed here can provide more opportunities in positioning of ports and enhance other attributes of the design. The optimized conﬁguration results in improved swirl characteristics, reduced volume and weight along with better cooling with the intake port-generating swirl in two modes, i.e., the directed mode and the helical mode. Keywords Helical intake port

Swirl number Paddle wheel test rig

Abbreviations a A B CD CF CFD D L MFC MRSR

Sonic velocity at inlet manifold conditions (m/s) Area of valve inner seat (m2) Cylinder bore (mm) Discharge coefﬁcient Flow coefﬁcient Computational fluid dynamics Valve inner seat diameter (mm) Valve lift (mm) Mean flow coefﬁcient Mean rig swirl ratio

H. Viswanath (&) A. Kumarasamy P. Sivakumar CVRDE, Defence Research & Development Organisation, Chennai, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_27

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NR Q S Vo WC WE WR Z a1 a2 ∂p q

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Non-dimensional rig swirl Volume flow at port entry conditions (m3/s) Engine stroke (mm) Velocity (m/s) Charge swirl speed at IVC (rpm) Engine crank shaft speed (rpm) Swirl meter vane speed (rpm) Gulp factor Crank angle, IVC (degree CA) Crank angle, IVC (degree CA) Total pressure drop over port Air density (kg/m3)

1 Introduction This paper gives an overview of cylinder head conﬁguration and port development for a direct-injection diesel engine for AFVs through parametric port design. The speciﬁcations of the engine are given in Table 1. After designing the cylinder head with an expected swirl and flow parameters, a metallic flow box was prepared. Swirl number is evaluated in steady-state swirl test rig (paddle wheel) for MRSR, MFC, and Z. Before considering the port layout, it is ﬁrst necessary to estimate the swirl requirement of the engine under consideration. For the development of 1500-hp diesel engine for AFVs, the above targets were ﬁxed as MRSR—1.5, MFC—0.3, and Z < 0.6. By this route, development time, cost, and number of iterative trials are reduced to a greater extent. Swirl is an organized rotation of charge about the cylinder axis. It is created by the charge with initial angular momentum. Usually, decay in swirl occurs due to Table 1 Engine speciﬁcations Parameter

Description

Type

Four stroke, V 90, direct injection, turbocharged, charge air cooled, diesel engine 1500 hp @ 2600 rpm 138 145 26 2 2 261 13 13 14:1

Rated power Bore Stroke(mm mm) Displacement (liters) No of intake valves per cylinder No of exhaust valves per cylinder Connecting rod length (mm) Max valve lift, intake (mm) Max valve lift, exhaust (mm) Compression ratio

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friction during the engine cycle, but with intake-generated swirl it persists through the compression and combustion processes. Swirl promotes rapid and intimate mixing between inducted air charge and the injected fuel. In developing swirl-supported DI diesel engines for AFVs, it has been a general experience that difference in performance parameters like power and fuel consumption may be obtained using different intake port designs with identical swirl numbers on stationary flow test rig where the MFC and Z do vary and influence overall engine performance. Application of CFD techniques can give global as well as local information on intake port design; this approach has proved to be efﬁcient and is now applied widely [1].

2 Engine Breathing Demands and the Effect of Swirl The flow capacity of inlet ports and valves is a key factor in determining volumetric efﬁciency of the engine. The size of inlet valve determines whether the gas speed will achieve optimum performance up to the desired output speed. Studies were carried out and established that inlet valve position and port layout are major aspects of the design schemes and therefore need to be considered during the concept design. Care must be taken to meet the conflicting requirements of various functions of the cylinder head [2]. Research on port shows that development of successful inlet port conﬁguration remains an iterative process, and the ﬁnal design is often a compromise between performance and packaging [2]. In general, there are two basic port designs in use, helical port and tangential port. The difference between helical port and tangential port is that the swirl generated above the inlet valve within the port for helical port while with tangential port the swirl is formed by directing the entering airstream against the cylinder wall. Helical ports offer some advantages which may be decisive for the overall performance of DI engines [3]. The swirl generation process in helical intake ports is shown in Fig. 1. Normally helical ports offer higher mass flow coefﬁcient than tangential ports for the same swirl number. But there are practical limitations for the same, like during the casting of cylinder head, core shift or slight port displacement is often a problem. Because of this, combustion quality deteriorates due to changes in swirl level. However, helical ports should be designed in such a way that they are less sensitive to port displacement. Optimum matching of injection system over a wide speed range is generally easier with helical ports. However, for optimum engine performance, the combination of tangential and helical port is preferred. Hence, in this engine development, combination of tangential and helical port is considered. Prediction of swirl level in the design stage within ±10% is possible. An overview of the intake port development process is shown in Fig. 2.

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Design of valve, valve guide boss, Injector position, valve size and swirl level

Port design and modeling

Flow box design

Flow study on paddle wheel

Digitizing and modeling if required

New flow box or reconfiguration

Proto cylinder head casting

Cylinder head swirl testing

Cylinder head engine testing Fig. 1 Swirl generation in helical intake ports Fig. 2 Intake port development process

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3 Layout Study One of the important constraints in the design of the cylinder head is the location of bolt pattern. This has an important implication for port and camshaft positions, as well as cooling passages and structural integrity of the cylinder head. Here, four-bolt pattern is chosen which has given great scope in port design. With four bolts per cylinder, the bolt loads are distributed uniformly into the cylinder head bottom deck. This is realized by internal ribs and making cylinder head structure sufﬁciently stiffer to avoid excessive distortion. Port layout is shown in Fig. 3. Skewed valve arrangement is chosen so that it can provide large room for port conﬁguration and at the same time will occupy lesser volume and weight, which is the driving factor in AFV diesel engine design. The basic port is deﬁned to describe the overall port geometry. Port design parameters are selected from the literature survey and reﬁned through 3D design. A large inner seat diameter together with average port quality provides good breathing characteristics. The port design is constrained by the boundary condition such as cylinder head bolts, injector, water jackets and without flow separation of the charge air. This was achieved by reducing the cross-sectional areas of the port along the main flow direction and radii of curvature. A cylinder head assembly with the helical intake and exhaust ports is shown in Fig. 4. A detailed layout study is carried out by positioning the valve, injector, and coolant area around the injector and valve as shown in Figs. 4 and 5. Care was taken during port design to reduce pressure drop in the valve ports and also to achieve a suitable intake port shape to produce intake swirl. The transitional cone between valve seat and bottom of the cylinder head forms a short diffuser after the smallest flow area and exit; port should be made wider in this area. For the Tangential intake port Intake valves

Helical intake port Injector

Exhaust ports

Exhaust valves

Fig. 3 Cylinder head with ports

1,2,3 & 4- Cylinder head bolts

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Exhaust ports

Fig. 4 3D port layout

Coolant passage

Intake ports

Fig. 5 Port layout

curved portion of the port, the inner radius of curvature has to exhibit a favorable relation to valve seat inner diameter.

4 Helical Intake Port Design MRSR can be achieved by varying the angle u to the line connecting valve and cylinder centerlines and eccentricity ‘e’ of a port, as shown in Fig. 6. Rotation of the cylinder charge depends on the discharge angular momentum or the moment of the discharge impulse. For this, ðValve seat inner diameterÞ2 ðBore DiameterÞ2

¼k

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Fig. 6 Velocity of charge for helical intake ports

should be high as possible. MFC * k gives the mean flow capacity, which is an important parameter to decide the port quality. The moment of momentum Ṁ in relation to the cylinder axis per unit time of the air charge flowing into the cylinder is composed of exit moment of momentum Ṁk of the port flow which is _ k ¼ c=gLr2 M

Z2p Vr V; d; and 0

the moment of the exit momentum ṀA, _ A ¼ jA e sin uA M R2p ¼ c=g L r e Vr V1 sinð; wÞd; 0

_ ¼M _ kþM _A M where g—9.8 m/s2, L—lift (mm), r—radius vector (mm), and Vr, V1, and Vu are the velocity components. jA is the component of exit momentum perpendicular to the valve axis. This relation gives an idea that rotation of the cylinder charge is produced by rotational port flow as well as unsymmetrical outflow from the valve. For the moment of momentum inside the cylinder produced by the exit momentum, the eccentricity ‘e’ and the direction of this momentum (angle wA) are important as shown in Fig. 6. Also the performance of the helical port is based on the high exit moment of momentum Ṁk. Depending on the shape of the helix, the component of

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the exit momentum jA may vanish totally. Ideally for helical port, the crosssectional area follows V u r ¼ K ¼ const: To favor the condition, a large flange area at the port entrance, which is larger than valve seat area, is preferred. The cross section, in order to achieve the expected swirl, has to be in such a way that it decreases gradually at the start and rapidly afterward.

5 Three-Dimensional Modeling of Helical Intake Port The design parameters and the port performance relations were studied. The approach is successfully proved in previous studies [4, 5]. Six variables were selected for the port design. The plan is randomized to have a ﬁnal test matrix. Also several repeated trials are performed to conﬁrm the repeatability. Critical features of port design that influences the swirl characteristics are shown in Fig. 7. The 3D port designed is shown in Fig. 8. In addition to key dimensions for effective port design, blending of surfaces and gradual change were done. After modeling, the metallic flow box is made. The flow box is designed taking care of realistic manufacturing features, including machining throat and all radii are made compatible with casting requirements. Attention was given to ensure that port geometry modiﬁcation is done for driving parameters. The solid port model is made as shown in Fig. 8.

Fig. 7 Design parameters of intake ports

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Fig. 8 Model of helical and tangential intake ports

Fig. 9 Manufactured flow box

The metallic flow box is manufactured in CNC machine, and an accuracy check is carried out with original CAD data. Certain extent of error on physical flow box is accepted without compromising important parameters. The manufactured flow box is shown in Fig. 9.

6 CFD Analysis of the Helical Intake Port A detailed CFD analysis was carried out using commercial software AVL—FIRE. Four conﬁgurations of the intake port were analyzed using the software. The details of the calculated swirl are given in Table 2.

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Swirl computed (-)

BE1 1.55 BE2 1.64 BE3 1.76 BE4 1.85 BE4 conﬁguration is considered for flow box testing

7 Port Testing The stationary flow tests proved to be very useful for the development work on the valve ports. Through the application of modeling techniques, it is possible to arrive at proper port dimensions. However, test bench results remain practically useful. The steady-state swirl rig test results presented as ratios are very useful for determining performance of the engine. The experimental setup of the swirl test rig is as shown in Fig. 10. The static test rig consists of a blower which will suck air through the port, which is connected to the tank. A constant pressure drop is maintained between the atmosphere and the cylinder liner. In between the tank and the blower, an oriﬁce plate is mounted which gives the pressure difference for every lift of the valve considered for measurement. The tank has a provision at its top for cylinder liner mounting and above which the flow box (port) is mounted. The paddle wheel installed inside the liner measures the air rotation. The air rotation is picked up by magnetic pickup and displayed in electronic rpm meter as (W). The pressure drop across the oriﬁce plate, W, temperature during the test, and the atmospheric pressure are taken as readings for all 13 different lifts according to L/D.

Fig. 10 Experimental setup

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8 Estimation of Flow Parameters At various valve lifts, the values of Q, CF, CD, and NR lifts are calculated, and by their summation, the values of MFC, MRSR, and Z are calculated. sﬃﬃﬃﬃﬃﬃﬃﬃ 2dp VO ¼ q CF ¼

Q AVo

WR B VO R /2 /1 CF :da

N¼ MFC ¼

/2 /1

2 B 2:S:WE Z¼ D a:CFðmeanÞ The charge rotation is measured by measuring the speed of the vane through a magnetic pickup connected to rpm meter. Then, swirl ratio is calculated by taking the ratio of anemometer speed to the crank shaft speed. The MRSR is calculated by the summation throughout the valve lift curve. R /2 WC BS /1 CF :NR :da MRSR ¼ ¼ : 2 W E D 2 R /2 /1 CF :da Z is calculated from mean gas velocity and velocity of sound. It is a summary coefﬁcient. Discharge coefﬁcient, CD

Q Aact :VO

Assumptions made for calculation • Flow is considered as incompressible and adiabatic throughout the port on the flow rig as well as on the engine. • The port retains the same characteristics under the transient condition of the engine as in steady flow rig. • The pressure drop across the port is constant during induction.

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• The angular momentum is conserved, and the skin friction is ignored. • Flow into the engine was considered independent of the piston motion between IVO and IVC. • Volumetric efﬁciency is taken as 100%.

9 Results and Discussions The results obtained from paddle wheel for different parameters are plotted against ratio of valve lift (L) to valve inner seat diameter (D) shown in Figs. 11, 12, and 13. It is observed in Figs. 11 and 12 that flow coefﬁcient is adequate throughout the valve lift for intake; the exhaust flow coefﬁcient is sufﬁciently high at high L/D ratios giving an indication on performance of the ports. Figure 13 shows the

Fig. 11 CF versus valve lift

Intake

Flow Coefficient CF

0.6 0.5 0.4 0.3 0.2

Intake

0.1

Exhaust

0 0

9 10 11 12 13

L/D

Fig. 12 CF versus L/D

Flow Coefficient CF

0.6

Intake

0.5 0.4 0.3 0.2 Intake

0.1

Exhaust 0 0

0.1

0.2

L/D

0.3

0.4

Diesel Engine Cylinder Head Port Design for Armored … Fig. 13 NR versus L/D

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Intake

1.6

Swirl Number NR

1.4 1.2 1 0.8 0.6 0.4

Intake

0.2 0 0

0.1

0.2

0.3

0.4

L/D

Table 3 Comparison of test results with target values

Parameter

Test result

Target value

MFC MRSR Z

0.342 1.66 0.58

0.3 1.5 Tj(max)). In the case of ﬁnned heat sink, the case temperature has increased up to steady state temperature of 65.5 °C after 20 min and the corresponding junction temperature is nearly 97 °C which is less than the threshold limit junction temperature (Tc) of the manufactures LED speciﬁcations. Upon doing all these experimental values, thermal images have been taken for heat sink flat plate and heat sink ﬁn type which is shown in Fig. 5(a) and (b). The experimental results show the dependence and importance of free surface area to conduct and dissipate heat. The ﬁnned heat sink has more conduction dissipation effect. In Fig. 5(a) and (b), it is seen that heat distribution along the surfaces has been increasing where it is reaching the surface temperature of 143 °C maximum which observes the necessity of surface area and optimal design parameters for the LED module. The red indications at the center of LED show the temperature at which at junction of this semiconductor devices starts increasing and overall a time where it will fail the LED module or will reduce the intensity of luminous flux.

Fig. 4 Variation of (a) case temperature and (b) junction temperature

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Fig. 5 Infrared image of LED with (a) ﬁnned (b) bare heat sink

4 Conclusion In the present investigation, the effect of heat transfer in LED heat sink was studied using two types heat sinks such as bare heat sink and ﬁnned heat sink using 16 W LED. The variation in the case and junction temperature was observed against the time. It is observed that junction temperature of ﬁnned was lower as compared with the bare heat sink. This may be due to the increase in surface area for the ﬁnned heat sink. This shows the importance of heat sinks designs with optimum parameters and conditions. From the results, it was seen that 37.6% of case temperature and 28.3% junction temperature can be reduced with the usage of ﬁnned heat sink as compared to bare heat sink.

References 1. Cho, E.-C., Huang, J.-H., et al.: Graphene based thermoplastic composites and their application for LED thermal management. Carbon 102, 66–73 (2016) 2. Moon, S.-H., Park, Y.-W., Yang, H.-M.: A single unit cooling ﬁns aluminum flat heat pipe for 100 W socket type COB LED lamp. Appl. Therm. Eng. 126, 1164–1169 (2017) 3. Park, D.H., Lee, D.B., et al.: A parametric study on heat dissipation from a LED—lamp. Appl. Therm. Eng. 108, 1261–1267 (2016) 4. Jang, D.S., Yu, S.H., et al.: Optimum design of radial heat sink with a ﬁns with application to LED light bulbs. Heat Mass Transf. 71, 496–502 (2014) 5. Lu, X.-y., Hua, T.-C., et.al.: Thermal analysis of high power LED package with heat pipe heat sink. Microelectron. J. 42, 1257–1262 (2011) 6. Tang, Y., Lin, L., Zhang, S., et al.: Thermal management of high power LEDs based on integrated heat sink with vapor chamber. Energy Convers. Manag. 151, 1–10 (2017)

Numerical Modelling of Spiral Cyclone Flow Field and the Impact Analysis of a Vortex Finder R. Vignesh, D. Balaji, M. Surya, A. Vishnu Pragash and R. Vishnu

Abstract In most industries to remove gas–solid particle separation, cyclone separators are used. Though it plays a major role, the efﬁciency of the cyclone is not up to mark. In order to fulﬁl that with the help of CFD platform to investigate the flow ﬁeld in Stairmand cyclone. For a numerical analysis 3D, grid independent Stairmand cyclone is performed by a Eulerian–Lagrangian model with Reynolds stress model (RSM) is chosen as a turbulence closure model and also grid convergence index study has been carried out. The numerical analysis is carried out with the coupled flow pressure ﬁeld and two-way coupled particle tracking (stochastic tracking model) which were veriﬁed with experimental data. In Stairmand cyclone, the performance is affected by the collision between the circulating gas stream and the gas stream of fresh inlet charge at the junction of inlet duct results in flow short-circuiting (pressure drop). To avoid short-circuiting, spiral inlet is designed for cyclone separator and also study has been extended out numerically for the spiral cyclone separator (SCS) with different vortex ﬁnder diameter, length, eccentric position, convergent and divergent type vortex ﬁnder. Keywords GCI RSM

Short-circuiting Spiral inlet Vortex ﬁnder

1 Introduction The Cyclone separators are not new to the industries. This had been using ever since 1800s because of its simplicity. Though its working principle is simple, the mixture of fluid flow moment inside cyclone is turbulent. The analysis of complex turbulent 3D flow with particle-fluid interaction is very difﬁcult either analytically or experimentally. Many researchers tried in past decades, puts great effort to design R. Vignesh (&) D. Balaji M. Surya A. Vishnu Pragash R. Vishnu Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore 641 407, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_34

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the high efﬁcient cyclone using LDA—Laser Doppler Anemometry and PIV— Particle Image Velocimetry. The complex study of gas–solid flow pattern has been studied experimentally by employing LDA, PDA and Hotwire anemometry, which have not give effective results. Due to rapidly developed computer technologies as in few decades, computational fluid dynamics have great potential to predict the individual fluid–solid flow trajectories, forces on particles and their velocities, which has been proved out successfully by many researchers. Grifﬁths and Boysan [1] was one of the ﬁrst, worked on CFD simulation of the cyclone. From their results, it pronounces that k–e model is insufﬁcient to simulate swirly flow. To describe the particle diffusion in turbulent flow, Yuu et al. [2] used the both Eulerian and Lagrangian tracking method. The most successful signiﬁcant particle diffusion tracking is achieved in the stochastic Lagrangian method. Some other various tracking models are Langevin stochastic differential equation model, the stochastic dispersion-width transport model and SPEED model developed by Sommerfeld et al. [3], Litchford and Jeng [4], Chen and Pereria [5]. Wang et al. [6] concluded the reason for short circulating flow is by the collision between inlet gas stream and swirled stream and also states that the collection efﬁciency mainly depends on particle entering a position. Xiang and Lee [7] and Qian and Zhang [8] numerically investigated the effect of geometric parameters by using RSM turbulence model. Elsayed [9] concludes, between pressure drop and cut-off diameter give the inverse results for an increase in inlet width or height. The cyclone consists of seven geometric parameters which is affecting the efﬁciency and pressure drop. Many researchers carried out their work in any one of the geometric parameters alone. As of now no literatures available to give the complete geometric analysis of cyclone and also some of the gaps found during the review. In Wang et al. [6] tell about occurring of short circulating flow, in order to rectify this spiral inlet cyclone is designed. In vortex ﬁnder, Wang et al. [6] state the geometric centre of cyclone does not coincide with the axis of the output flow so that mixing flow between upward and downward flow occurs which make a region as chaotic flow this leads to the occurrence of pressure drop to resolve this eccentric type vortex ﬁnder can be designed and also the effect of convergent and divergent type vortex ﬁnder on cyclone performance is not adequate in literatures. This study intended to resolve all the above-stated gaps and needs are fulﬁlled by CFD simulation.

2 Numerical Setup and Physical Model The mixture of fluid flow moment inside the cyclone is turbulent; it is very complex to capture the physics of the turbulent flow and also has particle dispersed turbulent flow so it must to study the cyclone with particle-fluid interaction. In FLUENT [10], the dispersed motion of particles is modelled in discrete phase model (DPM). The iÞ governing equation [11, 12] involved here are continuity equation @ðqu @xi ¼ 0,

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Fig. 1 a Stairmand cyclone schematic diagram; b cyclone with structured hexahedral mesh; c Stairmand cyclone is modiﬁed with spiral inlet

Table 1 The geometrical dimensions of the Stairmand cyclone D

a/D

b/D

De/D

S/D

h/D

H/D

B/D

0.5

0.2

0.5

1.5

0.375

@ ðqui uj Þ @xi

@p ¼ @x þ j

Momentum conservation equation

@ @xj

i leff @u @xj þ

@ @xi

@u leff @xij

þ qgj þ Fj , Governing equations for particle motion mi ddVt i ¼ FD;i þ mi g þ Pni j¼1 Fn;ij þ Ft;ij , Interaction between fluid and solids two-way coupling Pn FD;i @ ðqu0 u0 Þ @ ðquk u0 u0 Þ ~ F ¼ Vi¼1cell , FD ¼ FDO aðb þ 1Þ , RSM Transport equation @ti j þ @xk i j ¼ Bij þ Dij þ Pij þ Eij þ S. Stress diffusion term (Bij), shear production term (Dij), pressure–strain term (Pij), dissipation term (Eij). The cyclone taken for simulation is a Stairmand cyclone. The schematic diagram of Stairmand cyclone is displayed in Fig. 1a and their values in Table 1. The Stairmand cyclone is modiﬁed with spiral inlet Fig. 1c and also with eccentric vortex, convergent and divergent type vortex ﬁnder is displayed in Fig. 2a, b, c. The cyclone fluid domain is discretized with structured hexahedral mesh using ICEM CFD platform Fig. 1b. Three grids are considered coarse 782,673, medium 971,085, ﬁner 1,137,142 cells, respectively.

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Fig. 2 a Stairmand spiral cyclone with eccentricity vortex ﬁnder; b Stairmand spiral cyclone with convergent vortex ﬁnder 5° convergent angle; c Stairmand spiral cyclone with divergent vortex ﬁnder 5° divergent angle

3 GCI Using Richardson Extrapolation Theory In the numerical analysis, it is very important to do the grid independence study. Grid independence study has been carried for the cyclone separator so as to ﬁnd whether the results obtained are independent of the grid. Three grids (coarse, medium, ﬁner) are considered for scrutiny is presented in Table 2. As seen from computational results, dissimilarity between ﬁne and medium mesh results is less than 5% which is in the range of considerable error occurred during experimentation. However, in order to reduce the uncertainty, spatial error and temporal error obtained for every grid solution. Roache [13] suggests a grid convergence index (GCI) ‘The basic idea is to approximately relate the results from any grid reﬁnement test to the expected results from a grid doubling using a second-order method’. In this study to precisely estimate the order of convergence, three levels of the grid are considered. Table 2 indicates the grid information of Stairmand cyclone, and their computed solutions are shown in parameters of Euler jr12 j number and the cut-off diameter. GCI on the mesh (m) is deﬁned as: g12 ¼ 1:25 ri 1 21

jr23 j and g23 ¼ 1:25 . Table 3 presents the grid convergence calculation for three grid ri 1 23

levels of cyclone using GCI method. From that, results came to know that the monotonic convergence R-value is lesser than unity and also the asymptotic range of value is close to unity. If R is non-monotonic (R > 1) and the asymptotic range is

Table 2 Details of the grid independence study for Stairmand cyclone

Cyclone

X50

Coarse (a) Medium (b) Fine (c) % change (a–c) % change (b–c)

782,673 971,085 1,137,142

2.89 2.97 3.11 8.81% 2.22%

2.23 2.21 2.31

1,137,142 971,085 782,673

Zero grid space (m0) Fine mesh (m1) Medium mesh (m2) Coarse mesh (m3)

Model

Stairmand

3.29 3.21 3.14 2.95

Table 3 Stairmand cyclone grid convergence calculation using GCI

r21 ¼ 1054 r32 ¼ 1:075

ri þ 1;i r21 ¼ 0:022 r32 ¼ 0:061

ri þ 1;i

e12 ¼ 0:070 e23 ¼ 0:190

ei;i þ 1

g12 % ¼ 0:509 g23 % ¼ 1:023

gi;i þ 1 %

0.360

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not close to the unity (a = 1), the application of Richardson extrapolation method is not appropriate. For this kind of non-monotonic convergence mixed ﬁrst- and second-order extrapolation technique [14, 15, 16] is used to determine the order of grid convergence error. When the ﬁrst- and second-order error term are included the e23 ð1r2 Þ þ e12 r2 ðr 2 1Þ 12 r21 ðr32 1Þ GCI written as g12 ¼ r21 ðr21 121Þðr32 1Þ21ðr21 r3232 1Þ, g23 ¼ r21e23ðrð21r2111ÞðÞe r32 1Þðr21 r32 1Þ. The following conclusions have been taken out from the GCI analysis. For the three cyclones, GCI values for the successive grid reﬁnements are in reduced afﬁrm (GCI12 < GCI23) and monotonic convergence (R < 1) is achieved. Hence, this designates that the numerical results for the two variables become independent to cells. Hence, there won’t is a much change in solution during the further reﬁnement of the grid. The cyclone is computed with a ﬁne mesh having 1,137,142 cells.

4 Results and Discussion 4.1

Tangential Velocity

To validate the quality of the numerical model, in Fig. 3a comparing its predicted values to the experimental values. In Fig. 3b at the inner or core region, a tangential velocity equal to zero, tangential velocity increases with radius after it reaches the critical point the tangential velocity decreases with radius in the outer region attains zero states at the outer wall this proﬁle called as Rankine type of vortex. From Fig. 4a, another trend noticed here is above the vortex ﬁnder, the swirled flow collides with the incoming fresh charges and forms chaotic flow near to the vortex ﬁnder which makes to have a sharp decrease in velocity at an entrance region. Hence, it would lead to the cause of short-circuiting flow. To overcome this, spiral shape inlet arrangement is designed for the cyclone as in Fig. 1c. The Fig. 4b results inculcate that creation of short-circuiting flow is avoided. The cons noticed here is due to spiral inlet, the slight decrease in tangential velocity trend is occurring

Fig. 3 a Comparison of tangential velocity between LDA experimental results of Boyson [1], LES simulation results of [17] and current RSM simulation results; b contour plot for the time-averaged tangential velocity at 10 m/s for Stairmand cyclone; c radial proﬁle for the time-averaged tangential velocity at different section and inlet velocity10 m/s

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Fig. 4 a Trajectories of particle-fluid for tangential inlet Stairmand cyclone and b trajectories of particle-fluid spiral inlet Stairmand cyclone

and it increases the radial velocity in the core region of vortex ﬁnder which makes the smaller particles are trapped into it. Hence, it ultimately affects our collection efﬁciency.

4.2

Axial Velocity

From Fig. 5a, the axial velocity plotted over the radial position which pronounces that the axial velocity attains zero at the wall, and it is maximum at the position of maximum tangential velocity. The negative trend of axial velocity is seen in the region above the critical point of tangential velocity (0.25–0.45 position), and the positive trend of axial velocity is seen over the vortex ﬁnder due to the more amount of fluid flow on the vortex ﬁnder. At the axis of the vortex ﬁnder, there is dip in axial velocity gradually reaches to zero and also the geometric centre of

Fig. 5 a The time-averaged axial velocity at 20 m/s inlet velocity for spiral Stairmand cyclone and b the time-averaged axial velocity at 6% eccentricity vortex ﬁnder for spiral Stairmand cyclone

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cyclone does not coincide with the axis of the output flow so that mixing flow between upward and downward flow occurs which make a region as chaotic, this is the same scenario occurs in [6] Wang paper. This leads to the occurrence of pressure drop at vortex ﬁnder in order to rectify this eccentric type vortex ﬁnder arrangement placed in a cyclone.

4.3

Effect of Vortex Finder Diameter and Length

The pressure drop is measured out for a set of different vortex length and vortex diameter. The effect of vortex length (Fig. 6b) and the cyclone with longer S have a reduced turbulent intensity (kinetic energy) level in the inner region; hence, it causes an increase in axial velocity under vortex ﬁnder which leads to probability of particles trapped into the vortex ﬁnder. The tangential velocity is proportional to centrifugal force which is proportional to the cyclone efﬁciency, once as an increase in ‘S’, the tangential velocity decreases which in turn leads to lower cyclone efﬁciency. From Fig. 6a, scenario for the effect of vortex ﬁnder diameter shows that as a decrease in vortex diameter leads to increase in axial and tangential velocity, the graph trend put into the picture that increases in pressure drop and a decrease in cut-off diameter. From this conclude that pressure drop of cyclone mainly depends on vortex length and vortex diameter, henceforth optimum point is to be selected based on the values obtain as diameter 0.58 m and length in the range of 1.108–1.756 m.

4.4

Effect of Convergent and Divergent Vortex Finder

The cyclone analysis is carried out with three different sizes of convergent, divergent type vortex ﬁnder. For a divergent type, the pressure contour plot Fig. 6c

Fig. 6 a Comparison between the effect of vortex ﬁnder diameter and b vortex ﬁnder height on Eu and cut-off diameter; c contour plot for the time-averaged pressure on spiral Stairmand cyclone with divergent vortex ﬁnder for 50 divergent angle

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speciﬁes that as increasing the divergence angle at the core region of vortex low-pressure region is formed. This makes the flow to be accumulated in the core region without reaching the bottom of the cyclone due to this more trapping of particles take place and sends out through the vortex outlet. Therefore, it decreases the cyclone collection efﬁciency. For convergent type, when there is a decrease in convergence angle the low-pressure region occurs at the leading convergent section. Due to the convergent section trapping of a particle in vortex outlet is restricted, this makes an increase in collection efﬁciency.

5 Conclusion The identiﬁed problem had been addressed with the help of introducing spiral flow to the Stairmand cyclone separator that had been evaluated to ensure the efﬁciency using numerical analysis. The following outcomes are derived from the analysis are: short-circuiting of flow in the tangential inlet cyclone had been eradicated using a spiral inlet cyclone. Formation of chaotic flow under the vortex ﬁnder is being addressed with the offset placement of vortex ﬁnder; this leads to dilution of chaotic flow and the optimum eccentricity point that has been identiﬁed at 4%. The pressure ﬁeld study reveals that the increase in gas velocity leads to increase in pressure drop. The geometrical analysis for the spiral cyclone separator is based on vortex diameter and length. So that had been optimized diameter 0.58 m and length in the range of 1.108–1.756 m with respect to Euler’s number and cut-off diameter. The flow ﬁeld study of divergent vortex ﬁnder reveals that the decrease in collection efﬁciency of the cyclone, trend get reversed while using convergent vortex ﬁnder.

References 1. Grifﬁths, W.D., Boysan, F.: Computational fluid dynamics (CFD) and empirical modeling of the performance of a number of cyclone samplers. J. Aerosol Sci. 27(2), 281–304 (1996) 2. Yuu, S., Yasukouchi, N. Hirosawa: Particle turbulent diffusion in a dust laden round. AIChE J. 24, 509–519 (1978) 3. Sommerfeld, M., Kohnen, G., Ruger, M.: Some open questions and inconsistencies of Lagrangian particle dispersion models. In: Proceedings of Ninth Symposium on Turbulent Shear Flows, Kyoto, Japan, Paper 5.1 (1993) 4. Litchford, R.J., Jeng, S.M.: Efﬁcient statistical transport model for turbulent particle dispersion in sprays. AIAA J. 29, 1443–1451 (1991) 5. Chen, X.Q., Pereria, J.C.F.: Efﬁcient computation of particle dispersion in turbulent flows with a stochastic-probabilistic model. Int. J. Heat Mass Transf. 40(8), 1727–1741 (1997) 6. Wang, B., Xu, D.L., Chu, K.W., Yu, A.B.: Numerical study of gas-solid flow in a cyclone separator. Appl. Math. Model. 30, 1326–1342 (2006) 7. Xiang, R.B., Lee, K.W.: Numerical simulation of flow patterns in cyclones of different cone dimensions. Part. Syst. Charact. 22(3), 212–218 (2005)

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8. Qian, F., Zhang, M.: Effects of the inlet section angle on the flow ﬁeld of a cyclone. Chem. Eng. Technol. 30(11), 15 (2007) 9. Elsayed, K., Lacor, C.: The effect of cyclone inlet dimensions on the flow pattern and performance. Appl. Math. Model. 35, 1952–1968 (2011) 10. Fluent: FLUENT 6.3 user’s guide. Fluent Incorporated, Lebanon (2006) 11. Gheshlaghi, M.E., Goharrizi, A.S., Shahrivar, A.A.: Simulation of a semi-industrial pilot plant thickener using CFD approach. Int. J. Min. Sci. Technol. 23(1), 63–68 (2013) 12. Di Felice, R.: The voidage function for fluid-particle interaction systems. Int. J. Multiph. Flow 20, 153–159 (1994) 13. Roache, P.J.: Perspective: a method for uniform reporting of grid reﬁnement studies. J. Fluids Eng. 116(3), 405–413 (1994) 14. NASA: NPARC Alliance veriﬁcation and Validation, Examining Spatial (Grid) Convergence. http://www.grc.nasa.gov/WWW/wind/valid/tutorial/spatconv.html 15. Roy, C.J, McWherter-Payne, M.A., Oberkampf, W.L.: Veriﬁcation and validation for laminar hypersonic flowﬁelds. AIAA Paper, pp. 200–2550 (2000) 16. Roy, C.J.: Grid convergence error analysis for mixed-order numerical schemes. AIAA Paper, pp. 2001–2606 (2001) 17. Boyson, F., Ewan, B.C.R., Swithenbank, J., Ayers, W.H.: Experimental and theoretical studies of cyclone separator aerodynamics. IChemE Symp. Ser. 69, 305–320 (1983)

Lattice Boltzmann Simulation of Double-Sided Deep Cavities at Low Reynolds Number Balashankar Kesana, Vikas V. Shetty and D. Arumuga Perumal

Abstract Lattice Boltzmann method (LBM) has been created as an option computational technique conversely with conventional computational fluid dynamics (CFD) strategies. In the present work, the fluid flow of the two-dimensional low Reynolds number flow in a rectangular cavity with two opposite moving lids and different aspect ratios (depth-to-width ratios) is examined using LBM. The impacts of aspect ratio shifting from 1.2 to 10 on vortex structure in the cavity were watched. The streamline patterns were displayed in detail. As the perspective proportion is steadily expanded from 1.2, the stream structure creates the longitudinal way of the cavity and the quantity of vortices step by step increments with the expanding viewpoint proportion. The advancement of bigger external vortices is from the centre of the cavity and observed stream patterns were symmetric about the cavity centre at various proportion. Keywords Lattice Boltzmann method Aspect ratio D2Q9 model

Finite difference method

1 Introduction The Lattice Boltzmann method (LBM) is one of the computationally productive strategies that advanced as a class of CFD procedures utilized for fathoming complex fluid frameworks and warmth exchange issues [1]. LBM has progressively pulled in the light of a legitimate concern for analysts in computational fluid dynamics to take care of testing issues of modern and scholarly signiﬁcance. Dissimilar to fathoming the customary Navier–Stokes conditions, LBM models the fluid as an accumulation of invented particles and tackles the discrete Boltzmann condition over a discrete grid work [2]. LBM has a few amazing points of interest B. Kesana V. V. Shetty D. Arumuga Perumal (&) Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore 575 025, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_35

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over other ordinary CFD systems including, however, not restricted to in managing complex limit conditions and coordinating tiny connections [3]. The stream in a rectangular cavity includes numerous mind-boggling stream wonders, for example, unique composes and sizes of vortices, bifurcation, change and turbulence [4]. This issue of stream development in lid-driven depression ﬁlls in as benchmark problem which is generally used to check the adequacy of as good as ever numerical techniques, thus it is a magniﬁcent issue to apply the fundamentals of Lattice Boltzmann strategy that were learnt and furthermore increase clear bits of knowledge into how the cross-sectional Boltzmann technique really works. The two-dimensional enduring stream in a rectangular cavity can be driven by one or a couple of interpreting lids. The cavity stream with a solitary moving top has been contemplated widely. Examinations about the vortex structure in a two-sided lid-driven rectangular cavity have been directed, yet to a considerably lesser degree [5]. Investigation of feeds stream in a square depression with the tops moving in inverse ways demonstrated that the stream design was symmetric about the centre of the cavity, which is additionally apparent from the streamline plots produced for different Reynolds number and aspect proportions.

2 Methodology and Validation In the LBM, the ﬁrst order equation is discretized by ﬁnite difference technique. In the present work, the customary single-relation time (SRT) show is utilized. In active hypothesis, it is planned as [1] 1 fi ðx þ ci Dt; t þ DtÞ fi ðx; tÞ ¼ ffi ðx; tÞ fieq ðx; tÞg s

ð1Þ

where fi is the molecule dispersion work, ci is the molecule speed in the ith direction, fieq ðx; tÞ is the balance dissemination work at x, t and s is the unwinding time. In incompressible fluid stream, unwinding time is registered in connection to the consistency of the liquid in the light of the continuum supposition. The cross-sectional show decided for our work is the D2Q9 square lattice (Fig. 1) which has nine discrete speeds. In this model, every node has eight neighbours associated with eight connections. The surrounding streaming particles on a node move to the neighbouring cross section along these connections in a period step. The discrete particle velocities are deﬁned as, [1]. 8 ð0; 0Þ; > > < pði1Þ pði1Þ cos ; sin 4 ci ¼ pﬃﬃ4ﬃ > pﬃﬃﬃ > : 2 cos pði1Þ ; 2 sin pði1Þ 4 4

if i ¼ 0 if i ¼ 1; 2; 3; 4 if i ¼ 5; 6; 7; 8

ð2Þ

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375

Fig. 1 D2Q9 square lattice model

A suitable equilibrium function has been proposed by Mohammad [1] as, "

ðeqÞ fi

3ðci :uÞ ðci :uÞ2 ðu:uÞ ¼ qwi 1 þ þ 4:5 1:5 2 2 4 c c c

# ð3Þ

The lattice weights are given by xo ¼ 4=9; x1 ¼ x2 ¼ x3 ¼ x4 ¼ 1=9; x5 ¼ x6 ¼ x7 ¼ x8 ¼ 1=36. The naturally visible properties of the fluid, for example, thickness q and force qu are characterized as the velocity moments of the distribution function fi as takes after: q¼

N X i¼0

fi ; qu ¼

N X

f i ci :

ð4Þ

i¼0

Boundary conditions assume an extremely key part in any numerical answer for an issue. For instance, think about the association of the fluid with top wall as f7 ¼ f5 , f4 ¼ f2 , f8 ¼ f6 . Two-dimensional lid-driven square cavity with sides of length L is considered. The top wall is moving in positive x heading. The cavity is loaded with a Newtonian fluid with consistent thickness m and steady thickness q. The top wall is moving in positive x-axis. The cavity is loaded with a Newtonian fluid with steady thickness m and consistent thickness q. The simulation has been performed numerically utilizing the LBM for Reynolds number of 100 and it has been approved with the observations of Ghia et al. [6]. Lattice estimate utilized for computation is 129 129, and error convergence criteria are 1 10−6. The speed proﬁles are approved with standard consequences of Ghia et al. [6] and are plotted as shown in Fig. 2.

3 Results and Discussion The outcome got for the instance of against parallel top driven cavity with Reynolds number Re = 10 and top velocity u = 0.1 for top lid and u = −0.1 for bottom lid for perspective proportions differing from 1.2 to 10 are delineated (Figs. 3, 4 and 5).

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(a) Vertical centerline profile

(b) Horizontal centerline Profile

Fig. 2 Validation of the Re = 100 centreline proﬁles against Ghia et al. [6]

(a) K=1.2

(b) K =2.0

(d) K =2.82 (e) K=3.0

(f) K =3.4

Fig. 3 Streamline pattern for Reynolds number Re = 10 for different proportions of aspect ratios. a K = 1.2, b K = 2.0, c K = 2.6, d K = 2.82, e K = 3.0, f K = 3.4

Figure 3a, b separately demonstrate the stream designs where the K = 1.2, K = 2.0 it can be seen from that the cavity’s centre is a saddle point and two sub-eddies are available with their centres situated in the vertical centreline of the cavity. As the perspective proportion K builds, the sub-eddies develop and centres near the cavity’s top and bottom walls. At K = 2.82 indicates two sub-eddies and formation of two disengaged side eddies. As K value raised, the side eddies develop and approach the central point of the cavity. At K marginally more prominent than 2.82, two separated side eddies meet with each other at the inside saddle point for this situation the cavity centre and form into a couple of transverse sub-vortexes. As K is increased past this esteem, the focuses of transverse sub-vortexes approach the central point of depression and the

Lattice Boltzmann Simulation of Double-Sided Deep Cavities …

(a) K =3.8

(b) K = 4.0

(d) K =5.64 (e) K =5.7

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(f) K =5.8

Fig. 4 Streamline pattern for Reynolds number Re = 10 for different proportions of aspect ratios. a K = 3.8, b K = 4.0, c K = 4.4, d K = 5.64, e K = 5.7, f K = 5.8

longitudinal sub-vortexes are isolated into two external huge vortexes (Fig. 3e where the K = 3.0). As K incremented further, the sub-vortexes ﬁxates lying on the centreline of the cavity approach the central point of cavity and combine to frame a centre (see Fig. 3f). Now the third huge vortex is ﬁnished between the other two and there are three vast eddies now involving the cavity. Expanding the aspect value to higher esteems, the large eddy situated in the centre locale of the cavity develops into a couple of sub-vortexes with the centres lying on the vertical centreline of the cavity (Fig. 4b–d). At much more noteworthy estimations of viewpoint proportions, a couple of new side vortexes shows up again in the centre locale by each side divider (Fig. 4d, e). At marginally higher K, two side eddies touch the cavity’s centre and are transformed into transverse sub-swirls. In this way, the transverse sub-whirlpools isolate the longitudinal sub-vortexes into two external substantial eddies (Fig. 4f). As K is expanded further, the sub-vortexes union and now the streamline design is constituted by ﬁve extensive eddies (Fig. 5a, b). As K increments advance a couple of new longitudinal sub-vortexes merge (Fig. 5c, d). Furthermore, with expanding perspective proportion, a couple of new side vortexes is again developed in the centre locale beside each side divider which later approach the cavity focus and are transformed into transverse sub-vortexes. Thusly, the transverse sub-vortexes isolate the longitudinal sub-eddies into two external huge

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(a) K =6.0

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(b) K = 6.6

(d) K =8.0

(e) K =9.0

(f) K =10.

Fig. 5 Streamline pattern for Reynolds number Re = 10 for different proportions of aspect ratios. a K = 6.0, b K = 6.6, c K = 7.0, d K = 8.0, e K = 9.0, f K = 10

vortices and now the streamline design is constituted by seven huge vortexes (Fig. 5e). As K increments facilitate a couple of new longitudinal sub-eddies rise (Fig. 5f) and a similar vortexes generated.

4 Conclusion The development of the vortices for two-dimensional rectangular cavity for low Reynolds number stream for antiparallel top driven cavity have been examined using Lattice Boltzmann method. In view of the numerical results, directed for various aspect proportions, the accompanying conclusions can be made. For the low Reynolds number stream in a rectangular cavity with two-sided antiparallel lids, the stream designs are symmetric about the central point of the cavity for various aspect proportions. At the point when the perspective proportion is bigger

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than 1.2, the stream structure unfurls the longitudinal way of hole and the quantity of vortices continuously increments with the aspect proportion expanding. The advancement of stream design shows the periodicity. In every periodicity, it was watched that the four primary phases of the vortex advancement are comparable at the central point of the depression. As the angle proportion is expanding, the quantity of vortices increments the longitudinal way.

References 1. Mohammad, A.: Lattice Boltzmann Method: Fundamentals and Engineering Applications with Computer Code. Springer, London (2011) 2. Perumal, D.A., Dass, A.K.: A Review on the development of lattice Boltzmann computation of macro fluid flows and heat transfer. Alexandria Eng. J. 54, 955–971 (2015) 3. Perumal, D.A., Dass, A.K.: Application of lattice Boltzmann method for incompressible viscous flows. Appl. Math. Model. 37, 4075–4092 (2013) 4. Perumal, D.A., Dass, A.K.: Multiplicity of steady solutions in two-dimensional lid-driven cavity flows by lattice Boltzmann method. Comput. Math. Appl. 61, 3711–3721 (2011) 5. He, S., Wu, L., Xu, T.: Periodicity and self-similarity of vortex evolution in a double lid-driven cavity flow. Procedia Eng. 31, 267–273 (2012) 6. Ghia, U., Ghia, K.N., Shin, C.T.: High-resolutions for incompressible flow using Naiver-Stokes equations and a multigrid method. J. Comput. Phys. 43, 387–441 (1982)

A Study of Thermo-structural Behavior of Annular Fin Rahul Sharma, Lakshman Sondhi, Vivek Kumar Gaba and Shubhankar Bhowmick

Abstract Adding an annular/radial ﬁn to a heat exchanger increases the surface area in interaction with the surrounding fluid, thus increasing the convective heat transfer between the object and surrounding fluid. Since surface area increases as length from the object increases, an annular ﬁn transfers more heat than a similar pin ﬁn at any given length. The present work involves computation of temperature gradient followed by the determination of thermal stresses in radial and tangential direction, radial displacements, and strains of annular ﬁns and compares the results for different aspect ratio (ratio of the inner radius to outer radius) by varying inner radius of the annular ﬁn. A general second-order non-linear ordinary differential equation has been derived for all the parameters as the governing equation. The performance parameters of the annular ﬁns for different aspect ratio have been calculated and plotted on graphs.

Keywords Annular ﬁn Aspect ratio Temperature distribution Thermal stresses Isotropic material Axisymmetric investigation

1 Introduction Adding an annular ﬁn increases the surface area in contact with the surrounding fluid thus increasing the convective heat transfer between the heat sources and surrounding fluid. An annular ﬁn transfers more heat compared to a similar pin ﬁn of same extruded length due to increased surface area exposed to the surrounding. The temperature gradient throughout the ﬁn depends on the end conditions observed, and there arises thermal stresses in radial and tangential directions of the

R. Sharma L. Sondhi Department of Mechanical Engineering, SSTC, Bhilai, India V. K. Gaba S. Bhowmick (&) Department of Mechanical Engineering, NIT, Raipur, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_36

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annulus. Furthermore, in practice, the annulus is mechanically fastened on the pipe or other heat source. This may give rise to additional stresses by virtue of prestressed mounting. The literature survey points toward the existence of a few investigations exploring the stress and displacement in isotropic annular ﬁns or disks that are mainly focused on studying the effects of geometry parameters on displacement and stress ﬁelds under different boundary conditions. Kim [1] used the theory of two-dimensional uncoupled quasi-static thermoelasticity to obtain the solution for stress ﬁeld generation by moving point heat source in a circular disk. Yovanovich et al. [2] reported one- and two-dimensional solutions for thermal performance of annular ﬁns having a constant cross section. For an annular ﬁn with periodic heat transfer at boundary and having temperature-dependent thermal conductivity, Chiu and Chen [3] reported the stress ﬁeld using Adomian’s decomposition method. Paul et al. [4] compared thermal stresses in ﬁns of different proﬁle and materials operating at high temperature. In another study, the performance of annulus with different geometrical proﬁles and subject to variable heat transfer coefﬁcient has been reported by Mokheimer [5]. In a recent work, using modiﬁed Durbin’s numerical inversion method, Bas and Keles [6] reported the transient thermal stresses in annular ﬁn in the Laplace domain with its base subjected to a decayed exponential heat flux as a function of time. Sudheer et al. [7] reported a ﬁnite element solution of the temperature distribution and thermal stresses in a silicon carbide ceramic ﬁnned tube. Gencer et al. [8] reported the bending of the ﬁn due to thermal stresses. The present work involves computation of temperature gradient and thermal stresses and displacement in annular ﬁns and compares the results for different aspect ratio (ratio of the inner radius to outer radius) by varying inner radius of the annular ﬁn. A general second-order ordinary differential equation has been derived for all the parameters. The performance parameters of the annular ﬁns for different aspect ratio have been calculated and plotted on graphs.

2 Mathematical Formulation In the present study, the ﬁn, with insulated tip, is assumed to be under steady heat flow without internal heat source and effect of external environment is considered negligible on surface convection. The problem is modeled in one dimension; i.e., the temperature gradient and displacement is assumed to exist only along the radial direction and is symmetric with respect to the mid-plane and is under plane stress. The ﬁn material is assumed to be hom*ogeneous and isotropic. The annular ﬁn is ﬁxed to the cylindrical tube, and stresses are reported for both ﬁn without prestress and with prestress at inner boundary. The second-order differential equation for the heat transfer through the ﬁn is developed to ﬁnd the temperature proﬁle. For calculating the heat balance, an element of length ‘dr’ of the ﬁn (Fig. 1) is considered. Applying thermal energy balance to the element, the differential equation of heat flow is derived as follows:

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Fig. 1 Fin geometry

d2 h m2 h ¼ 0; dr 2

rﬃﬃﬃﬃﬃﬃﬃ hP m¼ kAc

ð1Þ

The solution to Eq. (1) is widely available for isotropic materials in reference texts and articles; however, it must be noted at this point that if material grading is introduced with additional complications of non-stationary ﬁns having variable geometry as well, then the solution calls for numerical treatment using bvp4c as reported in Gaba et al. [9, 10] and hence is not reproduced here to maintain brevity. The following boundary conditions are used for ﬁn with base temperature and the insulated tip dT Tjr¼r1 ¼ Tb ; ¼0 ð2Þ dr r¼r2 Using Eqs. (1) and (2), the temperature distribution is obtained and stored at quadrature points along the ﬁn radius. Since, the changes in temperature in a constrained body cause expansion/contraction, in annular ﬁn, this leads radial displacements depending upon the imposed boundary conditions. The solution of the displacement ﬁeld is obtained using Galerkin’s error minimization, applied over the governing equation obtained using variational principle (Eq. 3a). dð U þ W Þ ¼ 0

ð3aÞ

Zr2 U¼

ðrr er þ rh eh Þprt dr

ð3bÞ

W ¼ Pc ð2pr1 tÞ ujr¼r1

ð3cÞ

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In Eq. (3a), U is the strain energy stored in the annular ﬁn by virtue of thermal ﬁeld and mounting and W is the work potential due to prestress at inner boundary. The radial and tangential strain in annular ﬁn is given by er ¼

du rr rh u rh rr ¼ l þ aDT; eh ¼ ¼ l þ aDT dr r E E E E

ð4Þ

Upon substituting Eq. (4) in Eq. (3b), 2 r ( 3 2 ) Z2 Ept 4 u2 @u @u @u u þ þr U¼ þ 2lu arð1 þ lÞ DT dr5 ð5Þ @r @r @r r ð 1 l2 Þ r r1

Equations (5) and (3c), substituted in Eq. (3a), yield the following equation. 2

6 6 E 6 6 d6 6 4ð1 l2 Þ 4

Zr2 r1

9 3 3 2 u2 @u @u > > > þr þ 2lu = 7 7 @r @r r 7 7 dr7 2Pc r1 ujr¼r1 7 ¼ 0 > > 5 5 @u u > > > þ r> ; : að1 þ lÞDT @r r 8 > > > <

ð6Þ

To facilitate the numerical computation, Eq. (6) is expressed in normalized coordinate (n) and the displacement function u is approximated by a linear combination of sets of orthogonal coordinate functions (Eq. 7). uﬃ

ci /i ;

i ¼ 1; 2; . . .:; nf

ð7Þ

In Eq. (7), nf is the number of coordinate functions. The normalized variables used in formulation are n¼

r r1 r1 h T T1 ; Rf ¼ ; u ¼ ¼ h b T b T1 r2 r1 r2

Here, n is the normalized radius, Rf is the aspect ratio, and u is the dimensionless temperature. Subsequently, upon substituting the normalized variables, assumed displacement ﬁeld and replacing the operator ‘d’ by d/dcj, j = 1, 2, …, nf, the governing equation takes the following form: 0 0 D Dn þ r1 0 0 /i /j þ l /i /j þ /j /i dn /i /j þ Dn þ r1 D

Z 1 0

Z1 að1 þ lÞðDn þ r1 Þ

0 ! X /j /j ci /i DðDT Þdn ¼ Pc Eð1 l2 Þr1 þ Dn þ r1 Ddn r¼r1

ð8Þ

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3 Results and Discussions The excess temperature, h, and consequently the thermal stresses depend on the base radius r1, tip radius r2, base excess temperature, ﬁn thickness t, thermal conductivity k, and ﬁn parameter m. The results are presented for annular ﬁn having r2= 20 cm or 0.2 m, t= 0.01 m, hb = 100 °C and convection coefﬁcient h= 25 W/m2 K. The study is carried out for annular ﬁns of three different aspect ratios (Rf) 0.3, 0.4, and 0.5. The ﬁn material is assumed to be isotropic, and for thermal study, thermal conductivity is varied from 100 to 300 W/m K. The displacement and stresses are reported on account of temperature proﬁle obtained for material with conductivity 200 W/m K. The material parameters, thus, correspond to commercially available aluminum (E = 70 GPa). The excess temperature distribution of annular ﬁns of different aspect ratios is plotted in Fig. 2a–c. In each plot, the distribution is plotted for different thermal conductivities. It is observed that with increasing conductivity, the tip temperature also increases. The temperature distribution along the ﬁn induces radial displacement and thermal stresses in radial and tangential direction, respectively. In Fig. 3, the normalized displacement is validated for both mounting end conditions at Rf = 0.3. Further, under similar end conditions, displacement is plotted for the remaining aspect ratio considered in the study. The effect of prestress on displacement at inner radius is shown in the plot.

Fig. 2 Excess temperature distribution for Rf = a 0.3, b 0.4, and c 0.5

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Fig. 3 Normalized displacement in annular ﬁn under thermo-mechanical loading

Fig. 4 Normalized stresses in annular ﬁns a without prestress and b with prestress

The thermal stresses are plotted in Fig. 4a–b for annular ﬁns of different aspect ratios and conductivity 200 W/m K. In Fig. 4a, the stresses are plotted assuming the ﬁn base without prestress. The effect of prestressed mounting on heat source is evident in Fig. 4b wherein the magnitude of stresses under thermo-mechanical loading observed to be much higher than stresses induced in ﬁns without prestress. In Fig. 4a, the radial stresses at base correspond to zero value, indicating simple support at ﬁn base.

4 Conclusions The excess temperature and resulting thermal stresses and displacement in thin isotropic annular ﬁns of rectangular proﬁle have been reported. The study is carried out for different aspect ratios. The excess temperature for annular ﬁns having insulated tip is reported. The study reveals that the excess temperature increases with the increase in the aspect ratio. Thermo-mechanical study of stresses and

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displacement for three different aspect ratios under two different mounting end conditions without prestress and prestressed mounting is also reported. The effect of prestress is evident from the results. Further, the effect of aspect ratio on thermal stresses and displacement is also reported in the plots.

References 1. Kim, T.J.: Quasi-static thermal stress due to a moving heat source in a circular disk. AIAA J. 9, 2078–2079 (1971). https://doi.org/10.2514/3.6472 2. Yovanovich, M., Culham, J.R., Lemczyk, T.F.: Simpliﬁed solutions to circular annular ﬁns with contact resistance and end cooling. J. Thermophys. Heat Transf. 2, 152–157 (1988). https://doi.org/10.2514/3.79 3. Chiu, C.-H., Chen, C.-K.: Thermal stresses in annular ﬁns with temperature dependent conductivity under periodic boundary condition. J. Therm. Stresses 25, 475–492 (2002). https://doi.org/10.1080/01495730252890195 4. Paul, P., Sharma, R.C., Bezewada, R., Wakeel, M., Murigendrappa, S.M.: Comparative study of thermal stress distributions in ﬁns operating at high temperature for different proﬁles and materials. In: Proceedings of International Conference on Advances in Mechanical Engineering (2011) 5. Mokheimer, E.M.: Performance of annular ﬁns with different proﬁles subject to variable heat transfer coefﬁcient. Int. J. Heat Mass Transf. 45, 3631–3642 (2002) 6. Bas, H., Keles, İ.: Novel approach to transient thermal stresses in an annular ﬁn. J. Thermophys. Heat Transfer 29(4), 705–710 (2015). https://doi.org/10.2514/1.T4535 7. Sudheer, M., Shanbhag, G.V., Kumar, P., Somayaji, S.: Finite element analysis of thermal characteristics of annular ﬁns with different proﬁles. ARPN J. Eng. Appl. Sci. 7(6), 750–759 (2012) 8. Gencer, A.H., Tsamados, D., Moroz, V.: Fin bending due to stress and its simulation. In: International Conference on Simulation of Semiconductor Processes and Devices (SISPAD) (2013). https://doi.org/10.1109/sispad.2013.6650586 9. Gaba, V.K., Tiwari, A.K., Bhowmick, S.: Thermal performance of functionally graded parabolic annular ﬁns having constant weight. J. Mech. Sci. Technol. 28, 4309–4318 (2014). https://doi.org/10.1007/s12206-014-0945-1 10. Gaba, V.K., Tiwari, A.K., Bhowmick, S.: A parametric study of functionally graded rotating annular ﬁn. Procedia Eng. 127, 126–132 (2015). https://doi.org/10.1016/j.proeng.2015.11.436

A New Design to Achieve Variable Compression Ratio in a Spark Ignition Engine Aditya Roy, Chetan Mishra, Sarthak Jain and Naveen Solanki

Abstract Spark ignition engines are known to have low part load efﬁciencies which contribute in increasing fuel consumptions. Compression ratio plays a signiﬁcant role in deciding the performance of an engine at different load conditions. For this reason, the variable compression ratio (VCR) engine has, since long, been considered as an effective solution to the problems encountered while operating an engine at varying load conditions. There has been a signiﬁcant amount of effort by researchers as well as OEMs for developing efﬁcient and optimum designs of the VCR engine. The design makes use of a cylinder head which is equipped with a movable ram for varying the clearance volume. Actuators have been used to actuate the movement of the ram which facilitates to vary the compression ratio. The whole system has been designed keeping the potential challenges in mind and means have been sought to negate them. VCR engines give more flexibility to the user and at the same time, improve performance characteristics such as brake power, brake thermal efﬁciency, and torque while decreasing emissions and lowering speciﬁc fuel consumption. Keywords Variable compression ratio Actuator Solidworks

SI engine Engine head

1 Introduction Challenges are encountered when parameters such as load increase on a given IC engine. Variation in load directly corresponds to variations in power requirements from an engine. During high load conditions, the power required increases. On the other hand, low load conditions can be done away with lower power outputs. The concept of varying the compression ratio of an engine cylinder enables this. In high A. Roy (&) C. Mishra S. Jain N. Solanki Department of Mechanical and Automation Engineering, Maharaja Agrasen Institute of Technology, Sector 22, Rohini, Delhi 110086, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_37

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load conditions, the compression ratio can be decreased to maximize the power output. In low load situations, the compression ratio can be increased in order to maximize efﬁciency. Under conditions of varying loads, knock susceptibility can be reduced by using compression ratios which adapt with the load demands. Rao et al. [1] performed experiments on a single cylinder four stroke VCR diesel engine to ﬁnd an optimum compression ratio. Tests were performed on various compression ratios and the optimum compression ratio was found out to be 14.8 at which there was an improvement in performance and signiﬁcant decrease in emissions. Tsuchida et al. [2] performed several experiments to develop lower fuel consumption and higher output simultaneously but fuel consumption did not reduce after a certain compression ratio. In this experiment, stroke length was increased to improve fuel economy by suppressing surface-to-volume ratio of the combustion chamber which reduced fuel consumption. Kadota et al. [3] developed a new design of dual piston VCR in which compression ratio existed between two stages and the reciprocating motion of piston was governed by inertia force and hydraulic pressure. Hidden Markov Model was used to determine the compression ratio switching timing. Ignition timing control system was used to control individual cylinder and simultaneously performed knocking control. Rabhi et al. [4] performed experiments on MCE-5 VCR engine to reduce fuel consumption and emissions while the power output and torque remain the same. This engine can be used for mass production of rigid and robust low friction engines. Kommana et al. [5], Channapattana et al. [6] performed an experiment to study the behavior of VCR engine under biodiesel. To replace the conventional fuel, the mixture of palm kernel oil and eucalyptus oil or the blend of biodiesel like B20, B40, B60, and B80 was chosen. Various tests were performed and emissions like carbon monoxide and hydrocarbon were reduced. Komatsu et al. [7] performed an experiment and established an automatic adjustment system for VCR magnetic heads cylinder on a rotating cylinder. This arrangement improves many head positioning errors like setting angle errors and rotational angle error and different head positions were determined using different image processing algorithms. Performance characteristics such as brake power, brake mean effective pressure, speciﬁc fuel consumption, and brake thermal efﬁciency continuously vary with change in compression ratio. VCR engines also exercise a control over the exhaust gas temperatures, which leads to a reduction in engine component temperatures.

1.1

Beneﬁt of Using VCR

A major factor that limits the performance of an SI engine is the concept of knocking and pre-ignition. A term called highest useful compression ratio (HUCR) is used in case of SI engines. This is the value of compression ratio, which when exceeded, would produce knock in the engine.

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Under full load conditions, the throttle sends in more air-fuel mixture. If the CR is high under this situation, the operating temperature would increase rapidly enabling the end mixture to autoignite thus causing knock. On the other hand, under low load conditions, the throttle sends in less amount of air-fuel mixture. Now if the CR is low, the mixture would not reach the required temperature to ignite and effect combustion. Due to these reasons, under full load conditions, the VCR engine utilizes low CR values to maximize power outputs without causing knock and under low load conditions, the VCR engine makes use of high CR values to maximize fuel efﬁciency.

2 Design Principle Cylinder dimensions of 84 mm bore diameter and 90 mm stroke length with a displacement of 500 cc have been selected. The cylinder head is equipped with a movable ram which varies the clearance height of the cylinder. Ram is actuated by two actuators. As the actuator is actuated, the ram gets displaced which in turn changes the height of the combustion chamber. As this height is varied, the clearance volume gets changed and hence the compression ratio is varied. A 3D view of the designed assembly is shown in Fig. 1.

Fig. 1 3D view of engine head assembly

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Working

User has to feed the required compression ratio to the ECU using a regulator switch or any suitable arrangement. ECU then sends required signals to actuators. Since push rod is connected to the movable ram, when signals are sent to the actuator from ECU, the push rod gets displaced which further displaces the ram. In this way, the clearance volume is altered. The two actuators used can be of any type like hydraulic, pneumatic, or mechanical, but the necessary condition is that it should be able to produce the required force so that it can displace the ram and make way for the entry of air-fuel mixture and exit of exhaust gases. When the user wants to gain on efﬁciency, he/she can turn on the efﬁciency mode which will send a signal to ECU to increase the compression ratio of the engine using a regulator switch or any suitable arrangement. ECU will then send required signals to actuators which will convert those signals into displacement and force and hence actuate the pushrods outwards. On the other hand, when driver wants to negotiate a high load along with a good amount of acceleration, or climb a hill without getting prey to knock, he/she can now move the knob to power mode as a result of which, the actuator will displace pushrod in negative direction hence moving the pushrod in backward direction, which in turn increases the combustion chamber volume. The clearance volume is increased thus decreasing the compression ratio. A labeled sectional view is shown in Fig. 2.

Fig. 2 Labeled half section front view

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Components

• Ram. As can be seen in Fig. 3, there is a ram which acts as the head of the combustion chamber. It can be displaced vertically which enables it to change the height of the combustion cylinder and hence the compression ratio. It contains valves, manifolds, spark plug, and actuators. The ram is sealed from its circumference by using several stiff piston rings that will seal it better than the normal piston rings so that the air-fuel mixture does not leak from the gap. • Actuator. The actuator used can be of any type like mechanical, pneumatic, or hydraulic actuators. Work is to be done to calculate the range of forces to be applied by the actuator using required mathematical relations. The designed actuator casing is shown in Fig. 4. • Manifolds. As shown in Fig. 5, they are designed such that they can be elongated or shortened when ram moves in vertical direction. Manifolds are two hollow tubes which are inserted one into the other and thus the larger one slides over the smaller one. They direct the air-fuel mixture to the combustion chamber and the exhaust gases from combustion chamber to atmosphere. • Valves. The valves have been designed very strategically. It consists of a piston-based system actuated by flow of air. There are two ports, namely the inlet and outlet ports. When valve is to be opened, air flows in and pushes the piston downwards. When valve is to be closed, air flows out of the chamber which is further connected to an actuator circuit. In addition, the spring attached helps to facilitate the closing of valve. Figures 6 and 7 show the 3D sectional

Fig. 3 2D view of ram

Fig. 4 2D view of actuator casing

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Fig. 5 3D view of manifold

Fig. 6 3D view of valve

Fig. 7 Sectioned assembly view of valve and manifold

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Fig. 8 3D view of head cover

view and sectional front view of the valve, respectively. Such a valve mechanism completely eliminates the camshaft. The valve timing is attained with the help of crankshaft position sensor which sends its signals to the ECU which further controls the air compressor for valve actuation. • Head Cover. As shown in Fig. 8, it is a shell type cylinder and contains all the parts inside. It acts as a protection to all the parts inside it.

3 Conclusion The arrangement of actuating a ram to achieve variable compression ratio as employed in this design is a very simple and economical approach. This helps the user to get an engine response according to his requirements. Overall efﬁciency of an engine increases with the help of this concept. The beneﬁts of higher brake power, higher brake thermal efﬁciency, and more torque can be tapped using this design. At the same time, it promises lower fuel consumption levels for the identical engine displacement values. An important advantage of using this is that it enables the engine to create lesser emissions which is need of the hour keeping in mind the stringent emission norms. Component temperatures can be reduced which would help in lowering the wear and tear further reducing potential costs. The proposed design makes use of an actuator system which actuates a ram within the engine head. This promises a very wide range of compression ratio variation, but the HUCR value needs to be taken into account which is only possible by experimentation. Scope lies in the theoretical analysis of this design to calculate the actual force to be exerted by the actuators for achieving the variation in clearance volume. Force calculation of actuators would further govern their selection.

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References 1. Rao, G.V.N.S.R., Raju, R., Rao, M.M.: Optimizing the compression ratio of diesel fueled CI engine. ARPN J. Eng. Appl. Sci. 3(2), (2008) 2. Tsuchida, H., Hiraya, K., Tanaka, D., Shigemoto, S., Aoyama, S., Tomita, M., Sugiyama, T., Hiyoshi, R.: The effect of a longer stroke on improving fuel economy of a multiple-link VCR engine. SAE Tech. Pap. (2007) 3. Kadota, M., Ishikawa, S., Yamamoto, K., Kato, M., Kawajiri, S.: Advanced control system of variable compression ratio (VCR) engine with dual piston mechanism. SAE Int. J. Engines 2 (1), (2009) 4. Rabhi, V., Beroff, J., Dionnet, F.: Study of a gear-based variable compression ratio engine. SAE Tech. Pap. (2004) 5. Kommana, S., Banoth, B.N., Kadavakollu, K.R.: Performance and emission of VCR-CI engine with palm kernel and eucalyptus blends. Perspect. Sci. 8, 195–197 (2016) 6. Channapattana, S.V., Kantharaj, C., Shinde, V.S., Pawar, A.A., Kamble, P.G.: Emissions and performance evaluation of DI CI—VCR engine fuelled with honne oil methyl ester/diesel blends. In: Energy Procedia, The International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, vol. 74, pp. 281–288, Elsevier (2005) 7. Komatsu, T., Nagashima, S., Tsukada, H.: An automatic adjustment system for VCR magnetic heads on cylinder units. CIRP Ann. Manufact. Technol. 38(1), 9–12 (1989)

Experimental Investigation on Energy Saving due to Bubble Disturbance in Boiling Process S. Santhosh Kumar and S. Balaguru

Abstract Boiling is the process through which a liquid is brought to a temperature at which it forms bubbles at solid-liquid interface and converts into vapour. The present work focuses on developing a system that involves less energy consumption for boiling of water. A thorough study of boiling process was made. The science behind the boiling curve of water is critically analysed. The four stages of boiling curve of water are studied, and a new theory called bubble disturbance theory is proposed. The transition region of the boiling curve shows decrease in heat flux pertained to poor heat conduction through bubbles formed at interface. A novel idea of disturbance of bubble at this stage to increase heat transfer rate was predicted. Experiments were conducted to observe the boiling of water with and without bubble disturbance. Results have shown that the proposed system with bubble disturbance will save energy up to 20%.

Keywords Boiling Vapour Heat flux Transition

Bubble disturbance Conduction

1 Introduction Boiling of water at 1 atm involves four distinct stages. They are free convection, nucleate, transition and ﬁlm boiling regimes. The curve plotted for excess temperature against heat flux shows that there is a steady increase in heat transfer during the initial two stages, but then the heat transfer decreases during the third stage. The reason behind the decrease is attributed to the formation of bubbles at the interface between solid and liquid, i.e. water container to water interface at the bottom.

S. Santhosh Kumar S. Balaguru (&) Department of Mechanical Engineering, Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Chennai, Tamilnadu, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_38

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Many research work related to analysis of boiling of water has been made. The purposes of these researches are to understand the boiling process and suggest certain methods to enhance heat transfer in boiling. The change in physical behaviour of boiling due to addition of small amount of additives was experimentally investigated by Mane et al. [1]. Boiling curves are useful in understanding boiling phenomena. Many studies related to boiling curve measurements have been done. New boiling curve measurement techniques using digital instruments were introduced by Peterson et al. [2]. After the advent of computer, various numerical models regarding different physical phenomena have been developed. Modelling and simulation of flow boiling heat transfer were developed by Krause et al. [3]. Measurement of temperature using K Type thermocouple was discussed by Balaguru et al. [4]. The simulations on heat conduction property of stainless steels were performed by Balaguru et al. [5]. These simulations give better understanding of interaction of various parameters in heat transfer. Various experimental techniques for measurement of boiling curves have been developed. Boiling involves steady state and transient behaviour, to make precise measurements in developing boiling curve is of high importance. One such measurement technique using micro-sensors was developed by Auracher et al. [6]. Although many studies have been done to understand the boiling process, none of them introduced the idea of disturbance of bubble formed during the transition state to increase the heat transfer and hence reduce the energy required to achieve the superheated state. The present study proposes such theory and experimentation to validate the theory.

2 Heat Transfer Process The process of heat transfer during the boiling of water can be explained as follows. The container will always be in direct contact with the heat source. The heat transfer between heat source and container takes place through convection and radiation, and then the heat is transferred within the container thickness by means of conduction. This heat is then transferred to the water by means of convection. The heat is distributed within the water by means of natural convection due to buoyancy. As the temperature of water that is in direct contact with bottom of the cooking vessel reaches its boiling point, the water becomes water vapour in the form of bubble. As the heating continues, more bubbles are formed at the interface. These bubbles form a layer at the interface. Vapour is poor conductor of heat; it will decrease the heat transfer at this stage. The graph showing change in heat flux against temperature difference also called as boiling curve is shown in Fig. 1.

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Fig. 1 Boiling curve of water

3 Theoretical Assertions From the study of this process, it can be understood that the bubble layer is reason for decrease in heat transfer. Considering this, a theory is proposed as, disturbance of bubbles by any means will increase the heat transfer and hence will reduce the power consumption. One another argument for increase in heat transfer rate can be explained as follows. During bubble disturbance by using external means, there might be an unintended forced convection which may lead to increase in heat transfer. Yet another argument for the increase in heat transfer due to bubble disturbance can be described as follows. Rate of convection heat transfer depends upon area exposed to heat transfer. Equation for heat transfer rate due to convection is given as, Q ¼ hADT: where Q h A DT

is is is is

heat transfer rate, J/s heat transfer coefﬁcient, W/(m2 K) Area, m2 temperature difference (K or °C)

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When bubble is formed at the interface, the area of water exposed to metal surface is reduced; this can be presumed as reason for reduction in heat transfer rate. Bubble disturbance will increase the exposed surface, and hence, it will increase the heat transfer.

4 Experimental Details Experiments to validate this theory were conducted with water contained in stainless steel vessel. Experiments were conducted for two cases, namely temperature measurement without bubble disturbance and temperature measurement with bubble disturbance. To measure temperature, a waterproof thermometer was used. A level of 2 cm was marked in the thermometer, and it is dipped in the water at this level for measuring the temperature at constant depth in both cases of experiment. The image and speciﬁcation of the thermometer are shown below (Fig. 2). Speciﬁcation: • • • • • •

Automatic power off after 10 min. Measurement range: –50 to +300 °C Accuracy: ±1 Waterproof Probe length 20 cm Units Celsius and Fahrenheit.

Water contained in the container is placed over the heat source. The heat source is maintained at constant temperature by the position of adjustment knob. Also, the quantity of water placed in the container is noted. Now water is allowed to boil. The experiment is conducted without disturbing the bubble till the temperature reaches

Fig. 2 Water proof digital thermometer

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Fig. 3 Bubble formation at bottom of vessel

120 °C. Here, the temperature rise above 100 °C is observed because of superheated vapour (Fig. 3). Digital clock is used to measure the time taken for constant increase in temperature of 5 °C each. The observed values are tabulated (Table 1). A graph is plotted for time against temperature. The graph shows non-linear increase in temperature with time (Graph 1). The experiment is repeated under similar conditions but with bubble disturbance. A metal stick was used to disturb the bubbles formed at the interface. The observed values are tabulated, and a graph is drawn from the observed values (Table 2). A graph is plotted for time against temperature. The graph shows non-linear increase in temperature with time (Graph 2).

5 Comparison of Results The results show that the increase in temperature is non-linear, this is because of complex phenomena of bubble formation and buoyancy effects. The graph shows that temperature increases rapidly initially, and then the rate of increase is decreased. This is because of the reduction in heat flux due to bubble formation. The comparison between two experiment shows that the time taken for the water to reach the temperature of 120 °C is 100 min without bubble disturbance, and under similar conditions, the time taken by the water to reach a temperature 120 °C is 80 min with bubble disturbance.

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Table 1 Time taken for increase in temperature without bubble disturbance Temperature (in °C)

Time (in minutes)

40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120

3.07 5.11 7.14 9.21 12.12 15.10 17.32 21.09 25.25 31.22 38.27 47.38 57.54 66.53 77.54 87.32 98.42

Graph 1 Temperature versus time graph without bubble disturbance

Experimental Investigation on Energy Saving due to Bubble … Table 2 Time taken for increase in temperature with bubble disturbance Temperature (in °C)

Time (in minutes)

40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120

3.16 5.21 7.34 9.46 11.56 14.57 16.34 19.54 22.58 26.54 31.42 39.51 47.62 54.02 62.41 71.52 79.43

Graph 2 Temperature versus time graph with bubble disturbance

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6 Conclusions From the theory predicted and experiment conducted to validate the theory, the following can be concluded. (1) The theory is proposed as ‘The disturbance of bubble during ﬁlm boiling phase will increase heat transfer rate’. (2) There is a saving of 20% of energy due to bubble disturbance in boiling water in stainless steel vessel to a superheated temperature of 120 °C. (3) The phenomenon of increase in temperature with time is a non-linear process. If suitable disturbance method is developed, this theory can be applied to many applications of boiling such as power plant, refrigeration and food processing industries.

References 1. Sanjay, M., Ravindra, Y.: Experimental analysis of boiling and measurement of contact angle of drop on surface. Inter. Res. J. Eng. Technol. 56–57 (2015). e-ISSN: 2395-0056 02(02) 2. Peterson, W.C., Zaalouk, M.G.: Boiling-curve measurements from a controlled heat-transfer process. J. Heat Transf. 93(4), 408–412 (2010) 3. Krause, F., Schüttenberg, S., Fritsching, U.: Modelling and simulation of flow boiling heat transfer. Int. J. Numer. Method Heat Fluid Flow 20(3), 312–331 (2010) 4. Balaguru, S., Murali, V., Chellapandi, P.: Effects of different operating temperatures on the tensile properties of the grid plate hardfaced with colmonoy in a pool type sodium-cooled fast reactor. Sci. Technol. Nucl. Install. 2017, 1–9 (2017) 5. Balaguru, S., Kumar, S., Murali, V., Chellapandi, P.: Thermo mechanical analysis of SS304 circular grid plate hardfaced with colmonoy. Appl. Mech. Mater. 229–231, 710–717 (2012) 6. Auracher, H., Buchholz, M.: Experiments on the fundamental mechanisms of boiling heat transfer. J. Braz. Soc. Mech. Sci. Eng. 27(1) (2005)

Highway Trafﬁc Scenario-Based Lane Change Strategy for Autonomous Vehicle Gourish Hiremath, Kiran Wani and Sanjay Patil

Abstract In recent years, autonomous or unmanned ground vehicles (UGV) have become the prima focus of research in automotive industry and even in academic institutions. Advanced driver assistance systems technologies like lane keeping system (LKS), obstacle or collision avoidance system, lane departure warning system (LDW), automatic parking system have been thoroughly researched and are being practically implemented in most of the modern-day vehicles. According to recent report by Ministry of Road Transport and Highways (MoRTH), India, the number of accidents due to improper overtaking and jumping/changing lanes is a major concern, with manoeuvrability of the driver being the sole attribute. This paper focuses on control logic for safe navigation of vehicle before lane change manoeuvre is initiated in trafﬁc environment. The simulations have been carried out to simulate the control logic and of subject vehicle merging into two vehicles (lead and lag) for a single lane change manoeuvre. The parameters such as position, speed and gap distance between the vehicles in the current and target lane are taken into consideration for controlling the vehicle manoeuvre to avoid collisions.

Keywords Autonomous systems Autonomous vehicle Lane change manoeuver

G. Hiremath (&) College of Engineering, Pune, Maharashtra, India e-mail: [emailprotected] K. Wani S. Patil ARAI Academy, Pune, India e-mail: [emailprotected] S. Patil e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_39

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1 Introduction In 2016, India witnessed reports of 480,652 road accidents that injured 494,624 individuals and claimed 1,500,785 lives. This translates to average of 1317 accidents and 413 accident deaths taking place on Indian roads each day, according to data released by the Ministry of Road Transport & Highways (MoRTH) [1]. The data highlights that driver fault remains the single most important factor responsible for road accidents in the country accounting almost 84%, killing 80.3% and injuring almost 83.9% on all roads in the country. Out of all the factors in driver’s fault, jumping/changing lanes accounted for 8513 (2.1%) accidents, claiming 2795 (2.3%) lives and injuring 8177 (2.0%) individuals. Overtaking accounted for 7.3% accidents, 7.8% lives and injuring 7.0% individuals [1].

1.1

Automated Vehicle Technologies

In recent years, research and development of autonomous vehicle also or ‘Self Driving car’ have added a great signiﬁcance so as to provide complete safety for commutation of humans. These vehicles can monitor its environment using various techniques like laser light, radar, odometer (use of data from motion sensors to estimate change in position), GPS, computer vision and navigate it from one place to another without any human intervention. Only human input will be given the start and end destinations [2]. Some of the automated vehicle technologies like lane keep assist system, parking assistance system, adaptive/active cruise control, automatic braking, trailer backup assist, blind spot detection, obstacle/collision avoidance system are now available in most of the vehicles. They require human intervention at the steering wheel to take control of the vehicle at a moment’s notice. These technologies have helped in providing improved safety for the vehicle and have made provision to come nearer to the fully automated vehicle stage [3]. Jaswal and Rajashekhar [3] and der Automobil Industry [4] the lane change manoeuvre has been a challenging problem for road automation during the last two decades. This system uses a combination of techniques viz. Obstacle avoidance, blind spot detection and/or lane assist system to move the vehicle change from one lane to another or in overtaking process. This system is being tested successfully at low speeds where the control becomes easier and the sensors are good in response. But at high speeds of around 60 kmph, with the fast-moving vehicles the sensor response becomes critical and controlling parameter using the combination of other assisting systems becomes important. The driver needs a complete monitoring of the vehicle. This paper proposes algorithm to get the desired safe gap distance for a host (autonomous) vehicle in a ﬁve-vehicle trafﬁc scenario before it initiates the steering

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control for a safe lane change manoeuver. The manoeuver is for a single lane change and lane change model [5] referred explains about the steps involved for carrying out the process.

2 Proposed Lane Change Scenario The lane change manoeuvering control for the autonomous vehicle involves the subject vehicle merging in between two vehicles in the target lane. Here, the vehicle parameters of the lead and lag vehicles are considered to have safe manoeuvering. The deceleration or acceleration required by the subject vehicle to avoid collision will be main aspect. But the project work assumes the vehicle to change lane at constant speed and thus the safe distance criteria or the gap distance will be a key factor over here. This project work proposes of developing a steering control strategy for lane changing purpose. The control strategy is to be developed for single lane change manoeuvrability with ﬁve vehicles in consideration. The ﬁve vehicles will include a host vehicle in which the control strategy for the said purpose is input. The host vehicle is in between two vehicles say vehicle 1 ahead of it and vehicle 2 behind it. These three vehicles are on one lane say Lane 1. The host vehicle needs to manoeuvre from one lane i.e. Lane 1 to another lane say Lane 2 safely. The remaining two vehicles say vehicle 3 and vehicle 4 are in Lane 2. The ﬁnal output of the lane changing process of host vehicle will be to safely merge between these two vehicles and maintain the necessary speed and distance after completing the required manoeuvre. Figure 1 below shows the prerequisite of this manoeuvrability.

2.1

Lane Change Model

In the basic lane change model, the vehicle in the current lane tries to change its direction to either left or right only if the gap in the selected lane is acceptable or else it will remain in the same lane. Two types of lane change exist, namely Mandatory Lane Change (MLC) and Discretionary Lane Change (DLC), based on the execution of lane change [5]. aðn þ 1Þ ¼

avm Dv Dxl

ð1Þ

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Fig. 1 Proposed lane change scenario

2.2

Lane Changing Process

There isn’t any mathematical model, analytic relationship or a generalized process which can completely explain the lane changing process. As explained in [5], several decision-making steps are can be considered. These steps are (a) Desire to change lane. Lane changes may be performed due to several factors such as reduced speed in the current lane, queuing, forced deceleration because of the lead vehicle. The desire to change the lane becomes stronger when the driver also perceives a higher utility in the target lane in terms of higher speed or higher acceleration or a

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better position in the queue. If the vehicle has to decelerate due to lead vehicle comparatively moving at a lesser speed and the driver wishes to have better speed and queue position, then the driver desires to change lane. The deceleration or acceleration of the host vehicle in our case is given by Eq. 1 shown above If an+1 < 0, then the driver has to decelerate the vehicle which is not desired and therefore in this case the driver desires to change the lane. Otherwise, the vehicle needs to be continued in the same lane. (b) Selection of target lane. When there is a desire to change the lane, the driver then targets a lane to shift. A simpler way of modelling target lane selection is based on the concept of utility maximization. In this approach, one assumes that the driver will select a lane that maximizes his perceived utility. Utility of ith lane Ui can be taken as a function of several parameters such as velocity, gap between vehicles, acceleration. In this chapter, for ease in analysis, we assume the utility is same as the acceleration. Given utility of ith lane as Ui, then the probability of choosing the ith lane can be given by eU i pðiÞ ¼ PN U i¼1 e i

ð2Þ

where N is the number of lanes. It is assumed that the driver will choose the lane that has the maximum probability as his target lane. (c) Ensuring feasible lane change. The deceleration required for the lag vehicle in the target lane can be computed using car following model as an þ 1 ¼

avm Dv Dxl

ð3Þ

If an þ 1 is less than the critical deceleration, it is feasible to change the lane to the selected target lane. Otherwise, the vehicle will continue in the current lane. (d) Decision to change lane based on gap acceptance. The lead gap is the gap between the subject vehicle and the vehicle ahead of it in the lane it is changing to. The lag gap is deﬁned in the same way relative to the vehicle behind in that lane. For merging into an adjacent lane, a gap is acceptable only when both lead and lag gap are acceptable. Probability that the gap is accepted is the product of the probability that the lead gap is accepted and the probability that the lag gap is accepted, given by pðtlead ; tlag Þ ¼ pðtlead Þ pðtlagÞ

ð4Þ

where pð t Þ ¼

1 ecðtT Þ if t [ T 0 otherwise t ¼ vngþ 1

ð5Þ

For a successful lane change of the vehicle, all the four steps condition should be satisﬁed and if any one doesn’t satisfy the lane change process will be averted.

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Control Algorithm Accordingly, with the above lane change model, a control algorithm for the host vehicle to manoeuvre in the proposed scenario is developed. The procedure followed to verify conditional approach to initiate a safe lane change manoeuvre is explained as follows and for consideration with autonomous vehicle, we assume that the vehicle is equipped with radar sensors for measuring the respective distance gap. Procedure: • The lane changing control needs to be activated. The ECU and the sensors will be active. • The sensors on the host vehicle will detect the vehicles in its current lane and in the desired lane where it needs to be shifted. Suppose vehicles detected are as V1 and V2 in Lane 1 and V3 and V4 in Lane 2. If none of the vehicles is detected and the host vehicle desires to change the lanes due to mandatory condition, the lane change process will take place in the same speed of the vehicle. • A radar sensor will detect and give the distance gap between the host vehicle and its entire respective surrounding vehicle be it from the front, rear or side. The values of the gap will be denoted as Di where i = 1, 2, 3, 4 as explained before. This measured gap will be given to ECU as input. The distances measured are as D1, D2, D3 and D4 for vehicles V1, V2, V3 and V4 respectively. • The ECU will analyse this ‘Di’ value and compare it with the set distance ‘S’. The ﬁrst conditional parameter will now come into picture wherein Di should be greater than ‘S’. This condition needs to be satisﬁed with respect to all vehicles. The condition which will be given in our case will be D1 > S, D2 > S, D3 > S and D4 > S. Pertaining to this condition being satisﬁed, the signal to change lanes will be given to ECU and the desired output will be in process. The lane change operation will be averted if any of the distance gap Di is not greater than ‘S’. • While changing lanes, Lane 1 to Lane 2 in our case, the vehicles V3 and V4 will come into consideration for conditional parameter 2. The host vehicle condition to either accelerate or decelerate will be decided from this parameter 2. Suppose Dc is the difference between the distance gap D3 and D4 and the set distance gap is SC. If DC > SC then the host vehicle will accelerate and if DC < SC, then it will decelerate in Lane 2. If there is no vehicle in Lane 2 or the difference is too large, then the vehicle will do the required in constant speed same as in its previous lane. • If any of this condition of this parameter is not satisﬁed, then the lane changing operation will be averted and the lane change assist system will be deactivated. The vehicle will be in manual control now and the driver needs to decide further process. • The conditional parameter S and SC will be calculated from referring the lane changing models explained in the previous section.

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Fig. 2 Algorithm for lane change model

The flowchart for the above four step if-then-else algorithm is shown below (Fig. 2).

2.3

MATLAB Simulink Model

Simulink is used to verify the proposed algorithm and get the safe distance gap between the vehicles to avoid collisions while manoeuvring. Since the paper proposes for a lane change manoeuvre in a highway scenario, acceleration and deceleration rate parameter is an important prospect to carry out any simulation so that the manoeuvring is safe. In the ﬁve vehicles scenario shown in Fig. 1 and considering the lane change feasibility explained in the lane changing process, critical deceleration condition parameter which if not in limits can avert the lane change process. This deceleration rate parameter is not any constant value but is variable not only with different speed of vehicle but also with the type of vehicle considered and also with different highway regions. For a typical highway patch, the critical deceleration rates for different speeds and different vehicle types like car, buses, trucks are calculated by researchers through experimentation and have been put forth in various highway and transport conferences. One such research study work was done at the Nagpur–Mumbai highway on a two-lane 1.5 km stretch [6]. From this study experiment, the mean (critical) deceleration rate was measured to be 2.42 m/s2 for a petrol engine car and it is assumed same for this paperwork. This critical deceleration rate comes into picture to ensure that the lane change manoeuvre is feasible wherein the deceleration of the lag vehicle in the target lane should be less than the critical deceleration for safe manoeuvre.

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Fig. 3 Simulink model for working on the logic proposed

Fig. 4 Pictorial representation of safe distance gap before initiating lane change

an þ 1 ¼

avm Dv \ 2:42 Dxl

From the lane change model considered and some literature survey, there isn’t any experimentation done to give speciﬁc value of sensitivity coefﬁcient (a), speed exponent (m) and distance headway exponent (l). Thus, for simulation purpose the above values are assumed to have value 1 i.e. a = m = l = 1. The Simulink model shown below is developed to simulate the logic aspect (Fig. 3). Simulation Result. The simulation was carried out on trial and error basis by keeping the host vehicle speed H = 50 kmph, V1 = V2 = 45 kmph and V3 = V4 = 60 kmph but varying the distance gap Dx value in each condition. From this trial method, the safe distance gap for safe manoeuvring for processed and it is as shown in the Fig. 4.

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3 Conclusion For the proposed lane change scenario and by considering the lane change model, it is evident that the logic applied to get the safe distance gap between the host vehicle and lead/lag vehicle can be successfully carried out. This value can be very useful for motion planning of the autonomous vehicle to generate a safe path for lane change manoeuvre. Though for the paperwork, the speed limits were assumed but this model can be applied to any speed data for the said manoeuvering condition.

References 1. Autocar Pro News Desk, 1,317 Accidents and 413 deaths on Indian roads each day in 2016, AutoCar Professional, 06 Sept 2017 2. Bagloee, S. et al.: Autonomous vehicles: challenges, opportunities, and future implications for transportation policies. JMT V24(4), 284–303 (2016) 3. Rajasekhar, M., Jaswal, A.: Autonomous Vehicle: The Future of Automobiles, 2015 IEEE International Transportation Electriﬁcation Conference (ITEC), Chennai, pp. 1–6 (2015) 4. Bajpayee, D., Mathur, P.: A Comparative study about Autonomous Vehicle, 2nd International Conference on Innovations in Information Embedded and Communication Systems ICIIECS ’15 (2015) 5. Mathew, T.: Lane changing models, Lecture notes in Transportation System Engineering, IIT Bombay, Sep 2017 6. Bokare, P., Maurya, A.: Acceleration-deceleration behavior of various vehicle types. Trans. Res. Procedia 25, 4733–4749 (2017)

Friction and Wear Analysis of PTFE Composite Materials Sachin Salunkhe and Pavan Chandankar

Abstract Polytetrafluoroethylene (PTFE) is a very important polymer-based engineering material. The PTFE material has many applications such as in aerospace, food and beverage industry, pharmaceuticals and telecoms. In this paper, investigate the effect of sliding distance, varying load, ﬁller content in PTFE, sliding velocity experimentally by using a pin on disc test rig. A relative analysis of three different composites usually (PTFE + 30% carbon, PTFE + 30% bronze, and PTFE + 30% glass) are presented. Commercially, pure PTFE has high wear rate in order to reduce this wear rate the experimental investigation is carried out by using pin on disc test rig under constant sliding speed and constant time of 15 min. The results revealed that pure PTFE has high wear rate than the composite PTFE materials. Keywords PTFE composite

Pin on disc Wear rate

1 Introduction PTFE (polytetrafluoroethylene) is the highly useful plastic materials which were registered by name Teflon. PTFE is one branch of plastics, known as fluoropolymers [1]. A polymer is a compound type material. Compound is formed by a chemical reaction in which particles are combined into a group of repeating large molecules. Polyester and nylon are polymers which are commonly used as a synthetic ﬁbres. PTFE is the polymerized form of tetrafluoroethylene. PTFE has a very high melting point and is also stable at very low temperatures. It has many unique properties, which make it valuable in scores of applications [2]. It is a supreme bearing material which has heavy and light load pressures with medium and low surface speeds required since it recorded as a low coefﬁcient of friction when S. Salunkhe (&) P. Chandankar Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_40

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rubbed against metallic engineering surfaces. PTFE has fulﬁlled all qualities of bearing alloys such as embedded ability, conformability, load capacity, corrosion resistance, fatigue strength, compatibility and hardness. In this paper, the characterization of PTFE materials are calibrated with low coefﬁcient of friction. The low coefﬁcient of friction is developed from the ability of its information extended linear molecules to low shear strength ﬁlms and counter-faces during sliding. It is a crystalline solid with good stability from −454 to +500 °F (−270 to +260 °C) and is chemically inert to known reagents and solvents except molten alkaline metals and gaseous fluorine under pressure. Its relative softness and poor heat conductivity are responsible for the competency as a bearing material to applications involving low speeds and low unit pressures. PTFE is technically superior and economically cheaper friction material as compared to conventional bearing materials. Recently, many researchers have worked on PTFE composite materials such as Khedkar et al. [3] investigated the tribological behaviour of PTFE ﬁlled with carbon, graphite, MoS2, E-glass ﬁbres and poly-p-phenylene terephthalamide (PPDT) ﬁbres. Unal et al. [4] studied and analysed the effect of test speed and load values on the friction and wear behaviour of pure PTFE, and PTFE ﬁlled with glass ﬁbre reinforced (GFR), bronze and carbon (C). Bajaj et al. [5] investigated the tribological behaviour of PTFE ﬁlled with glass ﬁbres, carbon, bronze, graphite. Friction and wear are very important surface phenomenon. Yuan and Yang [6] investigated the tribological characteristics of polytetrafluoroethylene (PTFE) coatings by using ball-on-disc wear tester under vacuum conditions. Kapsiz et al. [7] explored the friction and wear characteristics of cylinder liner (CL)/piston ring (PR) pair. Conte and Igartua [8] explored the comparative study of frictional energy analysis of PTFE composites. They used soft and hard phase in a polymer matrix enhances for improving the tribological properties of the PTFE. Prabu et al. [9] described and studied the influence on banana ﬁbre-reinforced unsaturated polyester composites ﬁlled with red mud on wear responses. Sudheer et al. [10] evaluated the tribological performance of potassium-titanate-whiskers (PTW)-reinforced epoxy composites of independent parameters such as sliding velocity, normal load, ﬁller content and sliding distance. Sahin and Mirzayev [11] investigated dry wear of PTFE composites, bronze-ﬁlled composites (B60), glass-ﬁlled composites (G15) and carbon-ﬁlled composites (C25), under different sliding conditions. From the available literature, it is found that the worldwide researchers have applied effort to investigate of behaviour of various composite materials. Few of the researchers have attempted in the area of PTFE by the addition of ﬁller materials with speciﬁed weight percentage. Therefore, there is a need to investigate the influence of ﬁller addition on wear and friction behaviour of PTFE composite materials. The present paper investigated the effects of varying load, sliding distance, sliding velocity and ﬁller content in PTFE by experimentally using a pin on disc tribometer. The objective of the present research is relating the influence of sliding speed, load, sliding distance and percentage of carbon, glass and bronze addition to the PTFE with dry sliding wear of the PTFE.

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2 Experimentation A round-shaped specimen is ﬁtted and pressed into contact of the disc by means of lever which is loaded by lever arm and dead weights as shown in Fig. 1. The pin is inserted into the pin holder which mounted on flat. The pin is mounted for free slide at the right angle to the axis for the disc is rotates. The tangential force applied by the disc on the pin is measured by the beam type load cell connected to the indicator. These types of procedure need not be any interface between normal pressing force and the tangential force arising from friction. Electric motor with a belt and pulley is used for rotating the disc with a required speed.

2.1

Procedure

The specimen was cleaned and dried before actual testing and prior to measuring. The specimen should free from all dirt and foreign matter. The specimen was cleaned by using non-chlorinated, non-ﬁlm-forming cleaning agents and solvents. The dry materials with open grains were used to remove all traces of the cleaning

Pin Holder

Disc

Weight Pan Fig. 1 Experimental set up of pin on disc

Load Cell

Lever Pivot

Control Panel

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fluids that may be entrapped in the material. The dimensions and weight of the specimens are ± 2.5 lm and ± 0.0001 g were used. The disc is inserted on locating device and perpendicular to the axis. The pin is inserted in specimen holder and, if necessary, in order to maintain the necessary contact conditions between disc and the specimen adjustment were required that the specimen is perpendicular (61°) to the disc surface. After pin is inserted on specimen, the require mass is added into the lever and develop the selected force for pressing the pin against the disc. The speeds of the motor were adjusted according to the desired value while to stop the motor hold the pin specimen out of contact with the disc. Revolution counters (or equivalent) are set to the desired number of revolutions. The tests were carried out till revolutions achieved. Tests have not be interrupted or restarted. Wear Test: The wear testing is carried out in accordance with American society for testing and materials (ASTM) standard. The tests are conducted under a dry-lubricating condition by considering various parameters such as contact on load is 10 N, spindle speed is 0.1 m/s and sliding distance is 500 m. The specimens were removed and cleaned off all loose wear debris such as existence of features on or near the wear scar such as protrusions, displaced metal, discoloration, microcracking or spotting. The dimensions of the specimens were remeasured to the nearest ± 2.5 µm or reweigh the specimens were to the nearest ± 0.0001 gm.

3 Preparation of Material 3.1

Materials

The specimen should not be fail during testing without affecting the size and stresses. The materials are tested and described by dimensions, surface ﬁnish, material type, form, composition, microstructure and indentation hardness in this paper.

3.2

Test Specimens

The standard pin specimen having cylindrical or spherical in shape have a diameters range from 2 to 10 mm. The diameter of disc is from 30 to 100 mm with about 2–10 mm thickness. Figure 2 shows the PTFE and its three different composite materials. From right-hand side, ﬁgure indicates pure PTFE, second is PTFE ﬁlled 30% carbon named as composite A, third shows PTFE ﬁlled 30% bronze name composite C, extreme left-hand side indicates the PTFE ﬁlled 30% glass named composite B which is in white colour.

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Fig. 2 Wear specimens

3.3

Surface Finish

The present paper considers a 0.8 lm roughness of a ground surface. At the time of surface preparation avoide subsurface damages that alters the material signiﬁcantly. Some surface preparation may be applicable for some test programs. The standard rod of virgin PTFE and its composite with ﬁllers such as 30% carbon, 30% bronze and 30% glass is used. The sample pieces were prepared by using necessary turning and facing operations on the respective sample rods. The dimensions of specimen 12 70 mm were used. The specimen of pins is ﬁtted into the pin holder, and observations are as shown in Table 1. The tribological behaviour of PTFE ﬁlled with 30% carbon, 30% glass and 30% bronze are performed on a pin on disc wear tester (Model TR 20-LE) under room conditions. In this paper, the tribological behaviour of the composites materials with the three different variables are used, Taguchi approach the design of experiments. In the design of experiment, full factorial method sliding tests with four parameters and three levels (34 = 81) tests are required. But in this paper, however, only nine experiments are performed of each composite material with the use of the simpliﬁed orthogonal arrays designed by Taguchi. The variables are sliding speed; load and ﬁller proportions in PTFE.

Table 1 The general and mechanical properties of three test materials at room temperature Materials

Density (gm/cc)

Tensile strength

Elongation (%)

Hardness

Heat resistance

30% C ﬁller PTFE 30% G ﬁller PTFE 30% Br ﬁller PTFE

2.12 2.24 3.1

130 g/cm2 145 kg/cm2 126 kg/cm2

122 210 111

70 shore D 70 shore D 70 shore D

−250 to +260 °C −250 to +260 °C −250 to +260 °C

420 Table 2 L9 (27) orthogonal arrays designed by Taguchi method

S. Salunkhe and P. Chandankar No. of test runs

Load

Velocity (m/s)

C:SD (km)

1 2 3 4 5 6 7 8 9

3 3 3 4 4 4 5 5 5

0.9424 1.2566 1.5707 1.2566 1.5707 0.9424 1.5707 0.9424 1.2566

0.8 1.13 1.4 1.13 1.4 0.8 1.4 0.8 1.13

The parameters values and the experimental setup by Taguchi’s orthogonal arrays are shown in Table 2.

4 Results and Discussion The experimental results of combinations of various parameters are shown in Figs. 3, 4, 5, 6, 7 and 8. The wear of the PTFE composites ﬁlled 30% carbon, 30% glass and 30% bronze which are shown graphically in Figs. 3, 4, and 5, respectively. The wear rate of the PTFE composites ﬁlled 30% carbon, 30% glass and 30% bronze are 5, 14, 23 in lm, respectively, at constant time for 15 min for constant sliding speed 300 rpm at room temperature. In Fig. 3, the wear rate is increased with increasing time steadily as shown in ﬁgure. From the below graph, it is revealed that wear of PTFE ﬁlled with wt%30 C has low wear rate as compared to PTFE ﬁlled with wt%30 Gl and wt%30 Br. The increasing order of wear rate PTFE ﬁlled wt%30 C > wt%30 Br > wt%30 Gl. The coefﬁcients of friction of the PTFE composites ﬁlled 30% carbon, 30% glass and 30% bronze are shown in Figs. 6, 7, and 8, respectively. The smooth shape along the wear track is a characteristic of PTFE systems. Carbon-ﬁlled PTFE, glass-ﬁlled PTFE and bronze-ﬁlled PTFE are average friction coefﬁcients of ¼ 0:240 and l ¼ 0:351, and l ¼ 0:348, respectively. 30% Carbon wt. PTFE l composite has steady frictional behaviour with an average friction coefﬁcient of ¼ 0:348. The 30% carbon wt PTFE composite has increased in the initial conl dition then it is decreased at time t = 150 s and again it increased in steady mode ¼ 0:348. Similarly, in frictional behaviour with an average friction coefﬁcient of l the case of glass-ﬁlled PTFE composite materials. In the case of bronze-ﬁlled PTFE composite, it obtained a steady behaviour as shown in Fig. 8.

Friction and Wear Analysis of PTFE Composite …

Fig. 3 Coefﬁcients of friction versus time for a composite sample PTFE to ﬁller wt%30 C

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Fig. 4 Wear rate versus time for composite sample PTFE to ﬁller wt%30 Br

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Fig. 5 Wear rate versus time for a composite sample PTFE to ﬁller wt%30 Gl

5 Conclusions Based on the present investigation on solid PTFE, three different composites at various parameter settings of sliding velocity, loading and sliding distance are presented. Solid wear behaviour of these composites materials is successfully analysed using pin on disc test rig. Taguchi method is a simple, systematic and efﬁcient method for the identiﬁcation and optimization of the control factors and their interactions to get the optimum results of the processes. The results indicate that sliding velocity, loading and sliding distance and ﬁller materials are the important factors in affecting the wear rate. Despite the effect of sliding velocity is

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Fig. 6 Coefﬁcients of friction versus time for a composite Sample PTFE to ﬁller wt%30 C

Fig. 7 Coefﬁcients of friction versus time for a composite sample PTFE to ﬁller wt%30 Gl

less compared to other factors, it cannot be ignored because it revealed signiﬁcant interaction with sliding distance, loading and ﬁller materials. The wear life of the pure PTFE is very short because PTFE cannot form durable transfer ﬁlm on the steel counter-face. PTFE has been developed to form big flakes and left the contacting region during the friction process. PTFE composite material could carry out obvious back-transfer to the composite, which effectively reduced wear of the pure PTFE.

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Fig. 8 Coefﬁcients of friction versus time for a composite sample PTFE to ﬁller wt%30 Br

References 1. Biswas, S.K., Vijayan, K.: Friction and wear of PTFE—a review. Wear 158, 193–213 (1992) 2. Sawyer, W.G., Freudenberg, K.D., Bhimaraj, P., Schadler, L.S.: A study on the friction and wear behavior of PTFE ﬁlled with alumina nanoparticles. Wear 254, 573–580 (2003) 3. Khedkar, J., Negulescu, I., Meletis, E.I.: Sliding wear behavior of PTFE composites. Wear 252, 361–369 (2002) 4. Unal, H., Mimaroglu, A., Kadıoglu, U., Ekiz, H.: Sliding friction and wear behaviour of polytetrafluoroethylene and its composites under dry conditions. Mater. Des. 25, 239–245 (2004) 5. Bajaj, D.S., Vikhe, G.J., Kharde, Y.R.: An investigation of tribological behavior of PTFE + glass ﬁber against variable surface roughness of counter surface. Indian J. Tribol 3, 47–54 (2008) 6. Yuan, X.D., Yang, X.J.: A Study on friction and wear properties of PTFE coatings under vacuum conditions. Wear 269, 291–297 (2010) 7. Kapsiz, M., Durat, M., Ficici, F.: Friction and wear studies between cylinder liner and piston ring pair using Taguchi design method. Adv. Eng. Softw. 42, 595–603 (2011) 8. Conte, M., Igartua, A.: Study of PTFE composites tribological behavior. Wear 296, 568–574 (2012) 9. Prabu, V.A., Manikandan, M., Uthayakumar, M.: Friction and dry sliding wear behavior of red mud ﬁlled banana ﬁbre reinforced unsaturated polyester composites using Taguchi approach. Mat. Phys. Mech. 15, 34–45 (2012) 10. Sudheer, M., Prabhu, R., Raju, K., Bhat, T.: Optimization of dry sliding wear performance of ceramic whisker ﬁlled epoxy composites using Taguchi approach. Adv. Tribol. (2012). https://doi.org/10.1155/2012/431903 11. Sahin, Y., Mirzayev, H.: Wear characteristics of polymer—based composites. Mech. Compos. Mater. 51(5), 543–554 (2015)

Flow Analysis of Catalytic Converter—LCV BS III Applications for Optimising Pressure Drop C. P. Om Ariara Guhan

and G. Arthanareeswaran

Abstract Recently, Indian government enforces stringent control standards for automotive emissions in order to minimise pollution and keep the environment green. To conﬁrm these emission norms, new advanced technologies have been developed in the automotive emissions after treatment systems market. Diesel oxidation catalyst is one of the important contraptions which play a major role in reducing CO and unburned HC emissions. By employing CFD software, the flow properties of catalytic converter can be analysed. This helps to optimise the surface area of DOC, and the effective reaction area is utilised for oxidising the unburned hydrocarbon and carbon monoxide of engine exhaust gases. In the present work, 0.8-litre DOC has been modelled in CATIA V5 software, and CFD analysis was executed by ANSYS CFX software. The pressure drop has been compared by varying the cell density and wall thickness. Finally, the results are compared and the parameters of substrate which give optimum pressure drop are established and concluded. The novelty of the present work is that wall thickness of the porous media substrate, which is in mill inch, has been considered to ﬁnd out the pressure drop. Calculated pressure drop is veriﬁed with engine test bed pressure drop experimental data, before concluding the results. Keywords Catalytic converter

Diesel oxidation catalyst Pressure drop

C. P. Om Ariara Guhan Hinduja Tech Ltd, Chennai 600032, Tamil Nadu, India G. Arthanareeswaran (&) Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli 620015, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_41

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1 Introduction Pressure drop optimisation is one of the most important activities in catalytic converter design. Normally during internal combustion engine working process, there will be work loss due to admitting fresh charge into cylinder and removing exhaust gas from the cylinder. Because of this energy loss, the volumetric efﬁciency of engine is being affected. This loss leads to reduce the performance of engine also. IC engine net output is having linear relationship with back pressure [1]. Catalytic converter can be modelled in two ways. One is single channel model and the other is entire convertor model [2]. Single channel models [3] usually have the process of modelling solid and fluid phase separately, then available physical space is considered as solution domain. For 2D and 3D, this would be a time-consuming process. To overcome this time-consuming problem, volume average process is used, and the model is treated as continuous porous medium [4]. The main disadvantage of volume average process is information loss at microlevel. To overcome this issue, the representative channel method is used in the industry. In this methodology, minimum number of channels are modelled and then assembled with macromodel. To ﬁnd out the result, the interpolation is made between them [5, 6]. Jeong and Kim [7] proved that to optimise the monolith design, compromise should be made between uniformity index and pressure drop. They used variable cell density concept as radially. Ramanathan et al. [8] used transient 1D simulation model for calculating light-off criteria and estimated the cold-start emissions for nonuniform precious materiel-loaded monolith. Weilenmann [9] explained two important points of catalyst simulation. He executed the analysis by modifying the exhaust gas mass flow rate and temperature according to load and speed changes in real driving scenario. Gundlapally and Balakotaiah [10] compared cold-start emissions of a catalytic converter with ceramic [1 W/(m K)] and metallic [50 W/ (m K)] substrates with intermediate conductivity. In the present work, we studied the effect of pressure drop, maximum space velocity variation and residence time for varying cell density as well as varying wall thickness of a DOC. Based on this study, we can conclude the optimised cell density and wall thickness for improved pressure drop. In this analysis, the designs of catalytic converter substrates were modelled in CATIA V5 software. By using CFX software, the system was optimised with CFD methodology.

2 Theory The ceramic honeycomb-structured substrate was assumed as continuous porous medium when CFX was employed [6]. The flow is assumed as fully developed laminar flow [11]. The porous medium was modelled by adding source term to the momentum equation. The source term Si was given by:

Flow Analysis of Catalytic Converter—LCV BS III Applications … 3 3 X X @p 1 ¼ si ¼ Dijlvj þ Cij qvj vj @xi 2 j¼1 j¼1

429

! ð1Þ

where the subscript i is the direction of Cartesian coordinate system. The pressure drop was calculated empirically by [12]: Dp ¼

28:4lvL 0:5qv2 þ dh 2 2

3 Experimental Work 3.1

Design

DOC catalytic converter has been designed with the help of CATIA V5 for pressure drop optimisation analysis. 0.8-litre close coupled CATCON has been designed with an overall length of 192.5 mm and 103 mm outer diameter. CATCON consists of three major design areas as front cone, body and rear cone. The front cone area was designed with 51.1 mm cone diameter at inlet and 31.3 mm cone length. The body area was designed with 103 mm diameter and 132.1 mm length. The rear cone area was designed with 51.1 mm cone diameter at the exit and 22.5 mm cone length. The three-dimensional view of catalytic converter model is shown in Fig. 1. The geometrical parameters of the converter are listed in Table 1. Four ceramic

Fig. 1 Catalytic converter

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Table 1 Parameters of substrate Parameters

Values (mm)

Diameter of monolith Length of the monolith Insulation thickness Inlet and outlet cone length Diameter of inlet and outlet pipes

90.7 126 5 24.6 51.1

Table 2 Substrate properties Cell density (cpsi)

Wall thickness (mil)

Dh of cell channel (mm)

OFA (%)

GSA (m2/m3)

400 400 600 600

4.5 6.5 4.3 3.5

1.106 1.055 0.877 0.8981

75.8 69 71.6 75

2742.139 2616.155 3265.162 3340.752

substrates have been modelled with various cell densities for flow analysis. The geometrical properties of the ceramic substrates simulated in this work are summarised in Table 2.

3.2

Computational Modelling and Grid Generation

The STEP ﬁle of 0.8-litre CATIA V5 3D model of close coupled CATCON was imported inside the meshing tool ICEM CFD. The geometry has been cleaned up, and the fluid domain was extracted. Tetrahedral mesh elements were used to complete the mesh generation. A total number of meshing elements were about 956672. The aspect ratio has been checked for 0.2.

3.3

Boundary Conditions of the Model

In the present work, k-epsilon (k − ) model used for simulating the turbulence model, working fluid is exhaust gas. Properties of exhaust gas are deﬁned as density = 0.55 kg/m3, viscosity = 3.81e−5 Pa s. Executed the CFD analysis for mass flow rate of 195 kg/h, 546 °C has been considered as inlet condition. Open to atmosphere (0 Pa) has been considered as outlet condition. Porous media properties are summarised in Table 3.

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Table 3 Porous media properties

Inertial coefﬁcient (/m) Viscous coefﬁcient (1/m2)

400 cpsi/ 4.5 mil

400 cpsi/ 6.5 mil

600 cpsi/ 4.3 mil

600 cpsi/ 3.5 mil

15.885 3.236e07

19.173 3.907e07

17.779 5.435e07

16.224 4.959e07

4 Results and Discussion 4.1

Pressure Drop Analysis with Varying Mass Flow Rate

The kinetic energy of mean flow has been dissipated as heat. This is simulated in pressure drop analysis. Due to the heat dissipation, the pressure energy has been reduced. The total pressure drop of catalytic converter which is having 400 cpsi, 4.5 mil and 0.025 mm wash coat thickness is about 2.47 kPa. It is clear from Fig. 2 that when the mass flow rate increases, the pressure drop also increases. The flow rate varied from 180 to 210 kg/h, and the resultant pressure drop proﬁle variation was observed. Figure 3 explains pressure distribution.

4.2

Pressure Drop Analysis with Varying Flow Rate with Varying Wall Thickness and Constant Cell Density (400 cpsi)

Figure 4 explains that pressure drop increases if we keep cell density as constant and with varying wall thickness. This is due to reduction in exposed area. When

Fig. 2 Pressure drop with varying flow rate

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Fig. 3 Pressure distribution

wall thickness increases, the resistance also increases for the exhaust flow in substrate. CFD analysis clearly shows that the pressure drop increases when the wall thickness increased from 4.5 to 6.5 mil. The analysis has been carried out by changing mass flow rate for the same boundary conditions, and the results are analysed in Fig. 5 that explains the velocity distribution of catalytic converter.

4.3

Experimental Validation

Pressure drop obtained by CFD results of the 400 cpsi 4.5-mil substrate with 0.025 mm wash coat thickness is compared with engine test bed pressure drop experimental data for the veriﬁcation of the accuracy of simulation results. Engine test bed data has been measured at 3300 rpm and 195 kg/h inlet mass flow rate which is explained in Fig. 6. The pressure drop obtained by CFD result is 2545.03 Pa. Engine test bed experimental pressure drop value is 2392.3 Pa.

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Fig. 4 Varying wall thickness and constant cell density

Fig. 5 Velocity distribution of CATCON

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Fig. 6 Test bed set-up

5 Conclusion This present work investigated the pressure drop variations with reference to the change in cell density and wall thickness. The computational tool CFX was used to study the fluid flow characteristics. As the mass flow rate increases, pressure drop also increases. • Pressure drop was more desirable in 400 cpsi 4.5-mil substrate with 0.025 mm wash coat thickness after comparing with other proposed substrates. • Velocity proﬁle was more uniform in 400 cpsi 4.5-mil substrate with 0.025 mm wash coat thickness when compared to other proposed substrates. • Residence time is reduced when mass flow rate of exhaust fluid increased, and there is not much variation was observed due to wall thickness variation of the substrate, when volume of substrate was kept constant. • With reference to the above analysis, 400 cpsi 4.5-mil substrate with 0.025 mm wash coat thickness is optimal for this particular application. • Pressure drop obtained by CFD results for 400 cpsi 4.5-mil substrate with 0.025 mm wash coat thickness was compared with engine test bed pressure drop experimental data. The percentage of error is 6%.

References 1. Kamble, P.R., Ingle, S.S.: Copper plate catalytic converter: an emission control technique. SAE Technical Paper 2008-28-0104 (2008) 2. Hayes, R.E., Fadic, A., Mmbaga, J., Najaﬁ, A.: CFD modelling of the automotive catalytic converter. Catal. Today 188(1), 94–105 (2012) 3. Hayes, R.E., Kolaczkowski, S.T., Thomas, W.J.: A ﬁnite element model for a catalytic monolith reactor. Comput. Chem. Eng. 16(7), 645–657 (1992) 4. Zygourakis, K.: Transient operation of monolith catalytic converters: a two-dimensional reactor model and the effects of radially nonuniform flow distributions. Chem. Eng. Sci. 44 (9), 2075–2086 (1989)

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5. Tischer, S., Deutschmann, O.: Recent advances in numerical modeling of catalytic monolith reactors. Catal. Today 105(3–4), 407–413 (2005) 6. Braun, J., Hauber, T., Tobben, H., Windmann, J., Zacke, P., Chatterjee, D., Correa, C., Deutschmann, O., Maier, L., Tischer, S., Warnatz, J.: Three-dimensional simulation of the transient behavior of a three-way catalytic converter. SAE Technical Paper 2002-01-0065 (2002) 7. Jeong, S., Kim, W.: A study on the optimal monolith combination for improving flow uniformity and warm-up performance of an auto-catalyst. Chem. Eng. Process. 42(11), 879– 895 (2003) 8. Ramanathan, K., West, D.H., Balakotaiah, V.: Optimal design of catalytic converters for minimizing cold-start emissions. Catal. Today 98(3), 357–373 (2004) 9. Weilenmann, M.: Aspects of highly transient catalyst simulation. Catal. Today 188(1), 121– 134 (2012) 10. Gundlapally, S.R., Balakotaiah, V.: Analysis of the effect of substrate material on the steady-state and transient performance of monolith reactors. Chem. Eng. Sci. 92, 198–210 (2013) 11. Jeong, S., Kim, T.: CFD investigation of the 3-dimensional unsteady flow in the catalytic converter. SAE Technical Paper 971025 (1997) 12. Ekstrom, F., Andersson, B.: Pressure drop of monolithic catalytic converters experiments and modeling. SAE Technical Paper 2002-01-1010 (2002)

Step Toward Computer-Aided Integration of Sheet Metal Applications Ravi Kumar Gupta, H. M. A. Hussein, S. S. Salunkhe, Mukur Gupta and S. Kumar

Abstract Integration of sheet metal product design, simpliﬁcation, and fabrication applications is one of the major titles in the sheet metal industry. The integration of sheet metal product design and production in a computer-aided environment is a challenge due to its complicated shapes and the possibility of applications which it needs. In this paper, step toward computer-aided integration of sheet metal applications based on central repository and information management is explained by describing the development of a generic architecture and basic operations required to build the central repository. This architecture is elaborated upon for the integration of sheet metal part model (design) with sheet metal applications in which sheet process planning is one of them. The architecture and the integrations are demonstrated using a case study. Keywords Sheet metal product development Process planning

Applications CAD

R. K. Gupta (&) Mechanical Engineering Department, Manipal University Jaipur, Jaipur, India e-mail: [emailprotected]; [emailprotected] H. M. A. Hussein Mechanical Engineering Department, Faculty of Engineering, Helwan University, Cairo 11792, Egypt e-mail: [emailprotected] S. S. Salunkhe Veltech Dr. RR & Dr. SR University, Chennai, India e-mail: [emailprotected] M. Gupta Vivekananda Institute of Technology, Jaipur, India S. Kumar Mechanical Engineering Department, S.V. National Institute of Technology Surat, Surat, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_42

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1 Introduction Sheet metal is one of the important products in the industry. Many products in our daily life are manufactured from sheet metal. The usages of sheet metal in product development are increasing day by day due to several regions such as durability, easy in creating different shapes, use in miniature to giant products, light in weight are some of them. Sheet metal is irreplaceable component in automotive, airplanes, domestic appliances, and many other applications. There is also a big variety of sheet metal applications such as data extraction, feature recognition, process planning, nesting, sheet metal folding and unfolding, strip layout design, strip balancing, design for stamping or stampability, die block design, part comparison, check manufacturability, cost and time estimation for sheet metal parts, die type selection, sheet metal parts indexing and retrieving, punch shape recognition, punch arrangement, die cost estimation, and sheet metal die design. For each application, there is a need for inputs, which may be inserted manually or automatically from a database. The inputs for every application differ from one to other, but there is still shared sheet metal data between the different applications. Researchers in this branch made their programs to serve one or maybe two of these applications. For this reason, most of them don’t use database for sheet metal parts or focus to make a robust solution for all applications in sheet metal. This paper summarizes the achieved work done for the integrated system in sheet metal applications. The integrated system serves many sheet metal applications such as indexing and retrieving [1–3], check sheet metal part manufacturability [4, 5], die type selection [6], parts comparison and simpliﬁcation [7–9], 2D blanking die design [10], 3D modeling and expert system in blanking die design [11], feature recognition and process planning [12–15],and cost estimation [16]. The work in this paper is focusing on development of generic architecture for computer-aided integration of product development based on central repository.

2 Architecture for Computer-Aided Integration for Sheet Metal Product Development The present study aims at exchanging shape information in a product model across PLM applications. The proposed architecture for computer-aided integration for sheet metal product development is presented in Fig. 1. B-rep of the sheet metal product model is considered for processing the shape information. The process ﬁrst extracts feature information that is required to represent shape feature as application independent and unambiguous representation which is then used for mapping feature label and representation [8, 15] in the database for construction the product model repository. The mapped information (the product model repository) is used for constructing/representing the product model being exchanged in target application. Additional information required in a target application may be computed

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Fig. 1 Architecture for computer-aided integration for sheet metal product development

using the product model repository. The proposed architecture includes computation procedures to build product information which is received from a source application, computation procedures to provide product information required for a target application. The database in this architecture provides information required for construction of product information as and when required or come across the application for a function or procedure in the application. Source application is a CAD modeling such as AutoCAD, CATIA, and SolidWorks where a sheet metal product model is created and then the boundary representation along with the construction procedures are used to build product model database which is then used for exchange of product information to target application as shown in Fig. 1. A target application may be a sheet model making and stamping, nesting, process planning etc. Building database using a source application: i.e., AutoCAD is explained in the following section.

3 Sheet Metal Part Database The proposed integrated system includes a database for sheet metal parts, with all related (design, geometrical, and documentation data). The tested example of sheet metal parts is real workpieces data taken from industry. The sequence of feeding the parts database with the new part data is described herewith in Fig. 2. Figure 2a shows the main menu of the proposed program. The part data icon is non-activated icon in this stage. In Fig. 2b, the program calls the part text ﬁle data. The part must be drawn ﬁrst on AutoCAD, and then converted into text ﬁle using AutoLISP code. In Fig. 2c, the program converts the text ﬁle into the part geometrical shape. The part data icon converts to be active icon. Figure 2d shows the parts documentation data window. All the necessary part data which could not extract from the part shape must be added in this menu. Figure 2e shows the parts design data menu. The material type, the factor of safety, the strip thickness, the degree of accuracy, and the quantity information could be added in this menu. From Fig. 2f to i, the data

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Fig. 2 Main program menus for the case study part: construction of central repository for an example part

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Fig. 2 (continued)

extraction modules are shown for the geometrical part. Figure 2f shows the extracting of the contour length. Figure 2g shows the module of extracting of the center of pressure. Figure 2h shows the module of determining the boundary surrounding the part shape. Figure 2i shows the module of determination of the intersection point between part shape and the horizontal line passing from the center of pressure. This module is important in automated design the blanking die in two dimensions. Figure 2j shows the check of continuity module which checks the part closing items. Figure 2k shows the module of re-arranging part items direction. This step is very important in determining the part area. Figure 2l shows the module for calculation of polygon area. The second step after successfully entering the part data is the part process step. This icon is the gate to the most common sheet metal applications. Blanking die design is one of those applications modules. The system introduces the designing of blanking dies in two dimensions and in three dimensions.

4 Time and Cost Estimation Module for a Target Application The proposed code is constructed using Visual Basic 6 program, the code divided into four main menus, punching, nippling, bending, and plasma cutting operations. Every menu concern with the time and cost parameters for every sheet metal

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Fig. 3 Time and cost estimation module: example of construction of product information for a target application

operation. The selected sheet metal operations are the most popular sheet metal machining operation in the ﬁeld. The system is user friendly, in which the user time data parameters in its required box, in the prepared machining operation pages. The program code accumulated the user time and cost results from each page and showed in the operation result. The time and cost module is added as application in a sheet metal program as shown in Fig. 3.

5 Discussion Product database can be referred as intelligent product information repository which includes shape information, procedures to infer/extract information required for source application. Source application considered as CAD modeling tool. Target application considered as process planning, manufacturing, inspection, marketing, collecting customer feedback, and redesign etc. The proposed architecture for exchange of product information and inferring information ensures design intent, integrity, and consistency of product information.

6 Conclusion In this paper, generic architecture for computer-aided integration of sheet metal applications based on central repository and information management is presented. Product architecture and basic operations required to build the central repository for a sheet metal product is presented using a case study. This architecture is elaborated

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upon for the integration of sheet metal part model (from a source application as AutoCAD) with sheet metal applications module (time and cost estimation) for a target application. The architecture is presented with simple part geometry in laboratory environment which can be extended to real (from industry parts) and complex problems in product design and development in sheet metal industry.

References 1. Tor, S.B., Britton, G.A., Zhang, W.Y.: Indexing and retrieval in metal stamping die design using case-based reasoning. J. Comput. Inf. Sci. Eng. 3(4), 353–362 (2003) 2. Jagirdar, R., Jain, V.K., Batra, J.L.: Characterization and identiﬁcation of forming features for 3-D sheet metal components. Int. J. Mach. Tools Manuf. 41(9), 1295–1322 (2001) 3. Hussein, H.M.A., Barakat, A.F.: Indexing and retrieving in 2D sheet metal part, F_ThB3–6. In: International Conference on Technology of Plasticity, ICTP 2008, Korea, 7–11 Sept 2008, pp. 2038–2043 4. Hussein, H.M.A., Kumar S.: Computer aided check on manufacturability of sheet metal parts. In: International Conference on Advances in Mechanical Engineering, ICAME 2008, SVNIT Surat, Gujarat State, India, 15–17 Dec 2008, pp. 736–741 5. Wang, C.H., Borne, D.A.: Design and Manufacturing of Sheet Metal Parts: Using Features to Aid Process Planning and Resolve Manufacturability Problems. Carnegie Mellon University, Research Showcase@CMU (1997) 6. Hussein, H.M.A., Kumar, S.: Computer assist stamping processes selection. In: International Conference on Production Engineering Design and Control, PEDAC09, Alexandria, Egypt (2009) 7. Hussein, H.M.A., Kumar, S.: A computerized retrieval system for sheet metal parts. AIJSTP Asian Int. J. Sci. Technol. Prod. Manuf. 1(2), 31–40 (2008) 8. Kulkarni, Y., Gupta, R.K., Sahasrabudhe, A., Kale, M., Bernard, A.: Leveraging feature information for defeaturing sheet metal feature-based CAD part model. Comput. Aided Des. Appl. 3(6), 156–169, Taylor & Francis (2016) 9. Gupta, R.K., Zhang, Y., Bernard, A., Gurumoorthy, B.: Generic classiﬁcation and representation of shape features in sheet-metal parts. In: Hussein, H.M.A., Kumar, S. (eds.) Al Applications in Sheet Metal Forming. TMMME Book Series, Ch. 2, pp. 15–39. Springer (2017) 10. Hussein, H.M.A.: A CAD System in Sheet Metal Blanking Dies in 2D. In: First International and 22th All Indian Manufacturing Technology Design and Research Conference (22th AIMTDR), IIT-Roorke, India, 21–23 Dec 2006, pp. 253–258 11. Hussein, H.M.A., Abdeltif, L.A., Etman, M.I., Barakat A.F.: An approach to construct an intelligent system in sheet metal cutting die design. In: 9th Cairo University International Conference on Mechanical Design & Production (MDP-9), Cairo, Egypt, 8–10 Jan 2008, pp. 61–70 12. Kannan, T.R., Shunmugam, M.S.: Processing of 3D sheet metal components in STEP AP-203 format. Part I: feature recognition system. Int. J. Prod. Res. 47(4), 941–964 (2009) 13. Kannan, T.R., Shunmugam, M.S.: Processing of 3D sheet metal components in STEP AP-203 format. Part II: feature reasoning system. Int. J. Prod. Res. 47(5), 1287–1308 (2009) 14. Gupta, R.K., Gurumoorthy, B.: Classiﬁcation, representation, and automatic extraction of deformation features in sheet metal parts. Comput. Aided Des. 45(11), 1469–1484, Elsevier (2013)

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15. Gupta, R.K., Gurumoorthy, B.: Uniﬁed taxonomy for reference ontology of shape features in product model. In: Bernard, A., Rivest, L., Dutta, D. (eds.) Product Lifecycle Management for Society, IFIP AICT, 409(30), pp. 295–307. Springer (2013) 16. Verlinden, B., Duflou, J.R., Collin, P., Cattrysse, D.: Cost estimation for sheet metal parts using multiple regression and artiﬁcial neural networks: a case study. Int. J. Prod. Econ. 111 (2), 484–492 (2008)

Thermodynamic Analysis of Diesel Engine Fuelled with Aqueous Nanofluid Blends S. P. Venkatesan and P. N. Kadiresh

Abstract Thermodynamic analyses are performed on diesel engine with different types of nanofluid blend operations. Three best blends, i.e., D + 50ZN, D + 50AN, D + 50CN are chosen for exergy analysis. The effects of nanofluid on diesel are examined from the second law perspective. Availability equations are applied to both diesel and nanofluid blend modes at varying engine loads, and exergy terms such as brake work availability, exhaust gas availability, cooling water availability, and irreversibility are calculated and compared. There is an increase in exergy efﬁciency with an increase in load for all fuel blends tested. The nanofluid blend operations are favored thermodynamically at all loads. For diesel at full load, 26.88% of the fuel exergy is converted to brake power. At same load, nanofluid blend modes have resulted higher exergy efﬁciency of 28.22, 28.78, 29.16% for D + 50ZN, D + 50AN, D + 50CN, respectively, due to the higher brake work availability and decreased destruction availability.

Keywords Aqueous zinc oxide (ZN) Aqueous aluminum oxide (AN) Aqueous cerium oxide (CN) Diesel engine Exergy efﬁciency

1 Introduction In order to reduce greenhouse gases from diesel engines, aqueous nanofluids mixed diesel blends have been employed as an alternative fuel. The experimental investigations of nanofluid blends operations reveal increase in performance than diesel fuel. From the nanofluid blends mode aspect, it is very necessary to learn whereS. P. Venkatesan (&) Department of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India e-mail: [emailprotected] P. N. Kadiresh Department of Aerospace Engineering, BSA Crescent Institute of Science and Technology, Chennai, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_43

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abouts the available fuel energy during engine operations [1, 2]. Further, obtaining the maximum possible performance of engine fuelled with nanofluid blends modes is crucial which can furnish an essential comparison parameter with diesel engine. System (engine) losses due to the impact of process changes like load and blends are also to be estimated, and these will help to improve the engine performance and reduce the energy destroyed. Through these, the thermal and exergy efﬁciency of the diesel and nanofluid blends are to be discussed. Engine operations are theoretically treated by the ﬁrst and second law of thermodynamics [3, 4]. This work is applied the thermomechanical availability investigation by retrieving data of the nanofluid blends experiments. It provides thermodynamics aspects and performance calculations of the engine operation. In this work, with second law perspective, the effects of nanofluid type, on nanofluid blends operations are examined. Finally, the thermomechanical availability analysis outcomes of the nanofluid blends and diesel are compared. Particularly, the influence of nanofluid on the availability terms such as work output, heat losses by cooling water and exhaust gas, second law efﬁciency, and energy destruction are studied by combining the ﬁrst and second laws of thermodynamics.

2 Methodology and Experimentation From the literature survey, the metal oxides which can be used in form of aqueous phase in diesel are identiﬁed [5–7]. Metal oxides for engine testing are scrutinized and narrowed down to three, namely zinc oxide, aluminum oxide, and cerium oxide, based on their physical and chemical properties and its influence on combustion behavior of diesel after an elaborate literature survey [8–11]. Metal oxides nanoparticles are synthesized as noted in the literature, and they are characterized through XRD, EDS, and SEM. After the synthesization and characterization of these three metal oxide nanoparticles, three nanofluids, (metal oxide nanoparticle aqueous 5 wt% suspension), namely aqueous zinc oxide, aqueous aluminum oxide, and aqueous cerium oxide, are prepared by chemical synthesis. Four different concentrations (30, 40, 50, and 60 cc) of each nanofluid are selected and mixed with one liter of diesel. Similarly for three nanofluids, totally 12 blends are prepared. Fuel properties such as caloriﬁc value, density, viscosity, flash, and ﬁre point are determined for each blend using ASTM standard test methods. Detailed experimental load tests on engine fuelled with diesel and blends are carried out to evaluate the effects of nanofluid and its dose level on combustion performance and emissions parameters. In order to avoid experimentation error, each test is repeated thrice. The test results of blends are validated with that of diesel under same test conditions. In the end of the engine tests, it is concluded that the D + 50ZN, D + 50AN, and D + 50CN blends have shown a better performance and emission reduction compare to their other aqueous blends and diesel.

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Exergy analysis is the most effective method to ﬁnd the energy resource utilization of the system (engine) [12–14]. In this work, the exergy analysis of diesel engine fuelled by D + 50ZN, D + 50AN, D + 50CN, and diesel are done with available experimental results data of blends.

3 Availability Analysis The study of energy balance on engine helps to learn “how the fuel energy available is lost” and guides in ﬁnding ideas to curtail the same and increase the engine performance in terms of power output and efﬁciency [15]. It also provides the knowledge to optimize engine settings. According to the application, it is very essential to have the knowledge of an engine running time period and its loading condition for efﬁcient operation of an engine. In this work, the impact of variations of engine load and nanofluid type on energy and exergy balance of nanofluid blends are determined and discussed with diesel. The experimental observation data are used for the ﬁrst and second law analyses purpose as per Eqs. (1)–(13) [16].

3.1

Energy Analysis

First law of thermodynamics analysis of the amount of fuel energy converted into shaft work, heat carried away by the cooling water, heat carried away by the exhaust gas, and unaccounted heat loss are calculated as per Eqs. (1)–(6). Heat input ðdieselÞ; Qin ¼ ½ðmd =3600Þ LHVd ; kW

ð1Þ

Heat input ðnanofluid blendÞ; Qin ¼ ½ðmn =3600Þ LHVn ; kW

ð2Þ

Shaft work, Pshaft = Brake power output, kW

ð3Þ

Heat carried away by the cooling water, Qcw ¼ ½ðmw =3600Þ CPw ðT2 T1 Þ; kW

ð4Þ

Heat carried away by the exhaust gas, Qeg ¼

meg =3600 CPeg ð T5 T6 Þ ; kW ð5Þ

Unaccounted heat losses, Qunaccounted ¼ ½Qin Pshaft þ Qcw þ Qeg ; kW

ð6Þ

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3.2

Exergy Analysis

Second law of thermodynamics analysis of the fuel availability converted into shaft availability, cooling water availability, exhaust gas availability, destroyed availability, and exergy efﬁciency are calculated as per Eqs. (7)–(13). Input availability of diesel, ðAin ÞDiesel ¼ ½u ðmd =3600Þ LHVd ; kW

ð7Þ

Input availability of nanofluid, ðAin Þnano ¼ ½u ðmn =3600Þ LHVn ; kW

ð8Þ

The chemical exergy factor (u) for liquid fuels can be determined by U ¼ 1:0401 þ ð0:1728ðh=cÞÞ þ ð0:0432ðo=cÞÞ þ ð0:2169ða=cÞð1 2:0628ðh=cÞÞ where h, c, o, and a are the mass fractions of H, C, O, and S, respectively, Shaft availability, Ashaft ¼ Brake power output, kW

ð9Þ

Cooling water availability Acw ¼ Qcw ½ðmw =3600Þ CPw T0 lnðT2 =T1 Þ; kW

ð10Þ

Exhaust gas availability Aeg ¼ Qeg þ

meg =3600 T0 CPeg lnfT0 =T5 g Reg lnfP0 =Peg g ; kW ð11Þ

The gas constant of the exhaust gas (Reg) is determined by exhaust gas calorimeter energy balance Destroyed availability, Adestroyed ¼ Ain Ashaft þ Acw þ Aeg ; kW

ð12Þ

Exergy efficiency ðgII Þ ¼ ðAvailability recovered/Availability inputÞ ¼ 1 ðAdestroyed =Ain Þ

ð13Þ

4 Results and Discussion The typical variations of the exergy terms during various tested fuel modes are shown individually in Figs. 1, 2, 3, and 4. During an engine test, as load increases, the richer fuel increase the combustion temperature which in turn causes increase in available work and decrease in heat transfer losses availability. Availability, thereby increases exergetic efﬁciency for all naofluid blends at higher loads. When compared to diesel, the exergetic

Thermodynamic Analysis of Diesel Engine Fuelled with Aqueous …

Fig. 1 Availability distribution of diesel fuel with load

Fig. 2 Availability distribution of D + 50ZN blend with load

Fig. 3 Availability distribution of D + 50AN blend with load

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Fig. 4 Availability distribution of D + 50CN blend with load

Fig. 5 Destroyed availability of fuel blends and diesel at various load

efﬁciencies of nanofluid blends are marginally increased and favored thermodynamically at all loads. Due to the better combustion of nanofluid blends, shaft availability and exergy efﬁciency are higher at all loads. Destroyed availabilities for blends at different loads are shown in Fig. 5. The destroyed availabilities for blends decrease as the load increases. Increasing combustion temperatures, decreasing the duration of combustion and decreasing entropy production are the reasons for the decreasing destroyed availabilities of blends compared to diesel at higher loads [17]. At low loads, poor combustion causes low exhaust gas and cooling water availabilities, i.e., high destruction availability. At maximum efﬁciency condition (100% load), the minimum destroyed availability is found as 61.58, 61.31, and 61.12% for D + 50ZN, D + 50AN, and D + 50CN, respectively. While at the same condition, this value is found as 63.14% for diesel mode. Due to presence of

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aqueous nanofluid in diesel, the combustion temperatures of nanofluid blends increased. This causes an increase work availability of the nanofluid blends. It causes the increase of exergy efﬁciency and a decrease in destroyed availability. Figure 6 shows the fuel availability of the nanofluid blends and diesel. The results show that at minimum loads, the fuel availability decreases as the fuel consumed by the engine decrease. When load increases, to develop higher work output for the corresponding loads, more quantity of fuel is consumed by the engine which causes increase fuel availability at higher loads. For an equal shaft work as of diesel, nanofluid blends require lower fuel availability than diesel due to high energetic and better combustion of nanofluid blends. Figures 7 and 8 show the cooling water availability and exhaust gas availability versus load, respectively, for various modes of operation. The exhaust gas temperature of nanofluid blends operations is lower than diesel fuel for the entire range

Fig. 6 Fuel exergy at different loads

Fig. 7 Availability transfer by cooling water versus load

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Fig. 8 Availability transfer by exhaust gas versus load

of load. This leads to lower exhaust gas availability for nanofluid blends. The minimum exhaust gas availability is obtained for D + 50CN blend. At 100% load, the exhaust gas availability is found as 1.121 kW for D + 50CN mode as compared to that of 1.343 kW of diesel. At full load, this value is 1.165 and 1.22 kW for D + 50AN and D + 50ZN mode. The cooling availability of nanofluid blends operations is more due to the improved convective heat transfer coefﬁcient gas with cooling water. The maximum cooling availability accessible is 0.295, 0.267, 0.259, and 0.2527 kW for D + 50CN, D + 50AN, D + 50ZN, and D, respectively, at full load. At lower loads, poor combustion causes less exergy transfer with exhaust gas and cooling water, and hence, resulted in higher destroyed availability. Figures 9 and 10 show the shaft availability and cumulative work availability accessible from both cooling water and exhaust gas losses for different loads. When load increases, the work availability increases. This is because of increasing the fuel energy input and decreasing the combustion duration during higher load operation. Also when load increases, all tested fuel generates more increment in cumulative cooling water and exhaust gas availabilities [18]. This allows the more availability converted to work availability. The nanofluid blends modes produced little lower accessible work availability (about 0.62–1.42 kW) when compared to diesel (about 0.64–1.6 kW). Figure 11 shows the second law efﬁciency versus load for diesel and nanofluid blends modes. As the load increases, the cumulative work, cooling water, and exhaust gas availabilities are increased which in turn increase the gross work availability and second law efﬁciency. The highest exergy efﬁciency of 38.76% is observed for D + 50CN blend at 100% load. At higher loads, fuel energy input to the engine increases which results in improvement in combustion, increasing the cumulative work availability, and decreasing the combustion irreversibilities. The lower is the irreversibility, the higher is the exergy efﬁciency and vice versa. There is a marginal difference in exergy efﬁciency between the nanofluid blends modes.

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Fig. 9 Shaft availability versus load

Fig. 10 Cumulative work availability accessible from both cooling water and exhaust gas

The comparison of energy and exergy efﬁciency of tested fuel modes is shown in Fig. 12. It can be noticed that the maximum exergy efﬁciency of nanofluid blends modes (about 38%) are higher than the energy efﬁciency of base diesel engine (about 29%). This suggests that less amount fuel availability input and more percentage of fuel availability input that is converted into work availability are the reasons for higher exergy efﬁciency in nanofluid blends than diesel.

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Fig. 11 Second law efﬁciency with load

Fig. 12 Comparison of energy and exergy efﬁciency versus load

5 Conclusions A thermodynamic investigation is performed on a diesel engine. The engine is tested under nanofluid blends operations. Availability equations are applied to both diesel and nanofluid blends modes at varying engine loads. The exergy terms such as brake work, exhaust gas, cooling water, and irreversibility are compared and discussed. There is an increase in exergy efﬁciency with an increase in load for all fuel modes, and due to the higher work output, nanofluid blends modes have resulted higher exergy efﬁciency. The results suggest that due to a signiﬁcant increase in exergy efﬁciency, nanofluid blends can be an effective substitute to the fossil diesel. Due to better fuel–air mixture combustion and higher energy content of nanofluid, nanofluid blends modes require marginally lower fuel chemical exergy than that of diesel

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mode. This analysis conﬁrmed that the nanofluid in the blend influences for more conversion of fuel availability input into work availability. The D + 50CN blend has shown better exergy efﬁciency than other blends. At full load, 29.16% of the fuel exergy is converted into brake power, 1.6% is lost through heat transfer, 8% is expelled by the exhaust gases, and 61.24% is lost by exergy destruction for D + 50CN blend, and these parameters are 26.88, 1.58, 8.4, 63.14%, respectively, for diesel.

References 1. Reddy, A.V., Kumar, T.S., Kumar, D.K.T., Dinesh, B., Santosh, Y.V.S.S.: Energy and exergy analysis of I.C. engines. Int. J. Eng. Sci. 3(5), 07–26 (2014) 2. Tosun, E.: Energy and exergy analysis of a diesel engine. MSc Thesis, Cukurova University, Institute of Natural and Applied Sciences, Adana (2013) 3. Islam, M.M., Rahman, M.A., Abedin, M.Z.: First law analysis of a DI diesel engine running on straight vegetable oil. Int. J. Mech. Mech. Eng. 11(3), 1–5 (2011) 4. Zheng, J., Caton, J.A.: Second law analysis of a low temperature combustion diesel engine: effect of injection timing and exhaust gas recirculation. Energy 38(1), 78–84 (2012) 5. Wong, K.V., Leon, O.D.: Applications of nanofluids: current and future. Adv. Mech. Eng. 1–11 (2010). https://doi.org/10.1155/2010/519659 6. Mehta, R.N., Chakraborty, M., Parikh, P.A.: Nanofuels: combustion, engine performance and emissions. Fuel 120, 91–97 (2014) 7. Kao, M.-J., Ting, C.-C., Lin, B.-F., Tsung, T.-T.: Aqueous aluminum nanofluid combustion in diesel fuel. J. Test. Eval. 36(2), 1–5 (2007) 8. Yetter, R.A., Risha, G.A., Son, S.F.: Metal particle combustion and nanotechnology. Proc. Combust. Inst. 32(2), 1819–1838 (2009) 9. Selvaganapthy, A., Sundar, A., Kumaragurubaran, B., Gopal, P.: An experimental investigation to study the effects of various nanoparticles with diesel on DI diesel engine. ARPN J. Sci. Technol. 3(1), 112–115 (2013) 10. Sadhik Basha, J., Anand, R.B.: Role of nanoadditive blended biodiesel emulsion fuel on the working characteristics of a diesel engine. J. Renew. Sustain. Energy 3(2), 1–17 (2011) 11. Mirzajanzadeh, M., Tabatabaei, M., Ardjmand, M., Rashidi, A., Ghobadian, B., Barkhi, M., Pazouki, M.: A novel soluble nano-catalysts in diesel-biodiesel fuel blends to improve diesel engines performance and reduce exhaust emissions. Fuel 139, 374–382 (2015) 12. Harilal, S.S., Hitesh, J.Y.: Energy analyses to a CI-engine using diesel and bio gas dual fuel: a review study. Int. J. Adv. Eng. Res. Stud. 1(2), 212–217 (2012) 13. Thibordin, S., Kasama, S., Supachai, W.: The analysis of exergy in a single cylinder diesel engine fuelled by diesel and biodiesel. J. Sci. Technol. MSU 3, 556–562 (2012) 14. Ozkan, M., Ozkan, D.B., Ozener, O., Yilmaz, H.: Experimental study on energy and exergy analyses of a diesel engine performed with multiple injection strategies: effect of pre-injection timing. Appl. Therm. Eng. 53, 21–30 (2013)

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15. Kopac, M., Kokturk, L.: Determination of optimum speed of an internal combustion engine by exergy analysis. Int. J. Exergy 2(1), 40–54 (2005) 16. Rosen, M.A.: Using exergy to correlate energy research investments and efﬁciencies: concept and case studies. Entropy 15, 262–286 (2013) 17. Debnath, B.K., Sahoo, N., Saha, U.K.: Thermodynamic analysis of a variable compression ratio diesel engine running with palm oil methyl ester. Energy Convers. Manag. 65, 147–154 (2013) 18. Ghazikhani, M., Hatami, M., Ganji, D.D., Gorji-Bandpy, M., Behravan, A., Shahi, G.: Exergy recovery from the exhaust cooling in a DI diesel engine for BSFC reduction purposes. Energy 65, 44–51 (2014)

Investigation of Twin Cylinder Direct Injection CI Engine Characteristics Using Calophyllum Inophyllum Biodiesel Blends Pathikrit Bhowmick, Dhruv Malhotra, Pranjal Agarwal, Aatmesh Jain and K. C. Vora Abstract In the contemporary world, human consumption of energy in the form of fossil fuels is growing at an alarming rate and is a major concern for scientists as well as economists. In order to counter these phenomena, the study of biodiesel fuels is carried out by most researchers as an alternative to the conventional fossil fuels. In this present study, the effects of Calophyllum Inophyllum biodiesel blends on the engine performance, combustion, and emission characteristics were investigated. An experimental study was done on a twin cylinder diesel engine of direct injection type at a constant speed of 1500 rpm with Calophyllum Inophyllum methyl ester (CIME) biodiesel blends B5, B10, B20, and B100 by volume. Results showed that CIME blend B5 produced 3.28% lower BSFC and 4.8% higher BTE compared to pure diesel. Comparable combustion characteristics were observed for all biodiesel blends among which B5 showed the best results. B5 CIME blend depicted lower emission results with 12.29% and 9.57% decrease in HC and CO, respectively, as compared to conventional diesel. However, NOx emissions were found to be higher for all blend concentrations with respect to conventional diesel. Keywords Calophyllum Inophyllum Biodiesel blends

Combustion Emissions

1 Introduction The persistent rise in the demand for fossil fuels is increasing at a startling rate. The world’s proven natural gas resources are on the verge of eradication which is severely impacting global economy. The inability of fossil fuels to satisfy the thirst for high energy demand has become an important area of concern for various

P. Bhowmick (&) D. Malhotra P. Agarwal A. Jain K. C. Vora ARAI Academy, The Automotive Research Association of India, Pune, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_44

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researchers across the globe [1]. Like other countries, India being a home to over 1.3 billion people is also facing deﬁciency of crude oil to meet its energy requirements. Being an oil importing country, India spends a great amount of its revenue on purchasing petroleum products which influences its dependency on oil-rich countries [2]. Therefore, in order to prevent the further up-rise in its economy, India needs to address potential alternative fuels with lower overall emissions which can be treated as a substitute to the prevailing fossil-derived fuels [3]. Hence, biodiesel and ethanol are considered to be prospective substitutes to petro-diesel in the country. Biodiesel is believed to be a serious contender to diesel fuel due to its cleaner combustion, eco-friendly nature, and less harmful exhaust emissions [4]. Among the non-edible sources of biodiesel, Calophyllum Inophyllum oil popularly known as “honne oil” or “beauty leaf” originates along the coastal regions of Indian and Paciﬁc oceans and are known for many beneﬁts like high oil content, high survival vigor in environment and remains fertile up to the age of 50 years [5–7]. Ong et al. [8] selected Calophyllum Inophyllum oil with high FFA content and have optimized the production of biodiesel. Various blends of Calophyllum Inophyllum, being a fuel with high energy content, have given satisfactory results by showing a rise in brake thermal efﬁciency and depletion in fuel consumption, also comparatively producing less smoke and CO emissions. Monirul et al. [9] made a comparison of performance and emission between the diesel-biodiesel blends of Palm oil, Calophyllum Inophyllum and Jatropha which were then compared to pure diesel. With the increasing blend ratio from 10% to 20%, the BSFC increased from 7.96% to 10.16% for all the three types of biodiesel. Smoke was found least for Jatropha B10 blend, which came out to be 31.09% less than diesel fuel. However, lowest NOx emissions were emitted by pure diesel fuel only. Ong et al. [10] have done similar work by comparing Calophyllum Inophyllum, Jatropha Curcus, and Ceiba Pentranda biodiesel at full throttle for 10%, 20%, 30%, and 50% blending by volume. Optimized engine performance due to complete combustion was observed for 10% blends thus reducing fuel consumption. However, NOx emissions were found to have increased compared to pure diesel. Rahman et al. [11] carried out performance and emission testing of palm and Calophyllum Inophyllum biodiesel blends at high idling conditions, and it was noted that brake speciﬁc energy consumption was better for Calophyllum Inophyllum biodiesel due to a higher heating value. Increasing blend percentage resulted in lower CO and HC emissions; however, NOx was only signiﬁcant for Palm B20 and Calophyllum B20 blend. From the above comprehensive literature review, it can be inferred that Calophyllum Inophyllum biodiesel poses to be a serious alternative to conventional diesel fuel and its feedstock is abundantly available in India. However, very limited work has been carried out by the Indian researchers in extraction of Calophyllum Inophyllum biodiesel and understanding the engine characteristics using blend concentrations up to B20 as per national biofuels policy framed by the country in the year 2015. Therefore, this present study focuses on production of Calophyllum Inophyllum biodiesel and investigation of the performance, combustion, and emission characteristics of biodiesel fuel when run inside a two-cylinder direct

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injection diesel engine with various blend concentrations like B5, B10, and B20 without any modiﬁcations and ﬁnally comparing with the results of conventional petro-diesel.

2 Fuel Preparation In this study, a double stage transesteriﬁcation process was used to extract biodiesel from Calophyllum Inophyllum oil. Since Calophyllum Inophyllum oil consists of high amount of free fatty acid, i.e., about 23% and also contains high density and viscosity, therefore a single-stage transesteriﬁcation was not feasible for biodiesel extraction and to prevent saponiﬁcation [13]. In the ﬁrst stage of transesteriﬁcation, a 16:1 molar ratio of alcohol (methanol) to Calophyllum Inophyllum oil was selected and 1% by weight of concentrated sulfuric acid was mixed to it. This mixture was then constantly stirred at 60 °C for about 90 min. In the subsequent stage, a 6:1 molar ratio of methanol to Calophyllum Inophyllum oil was mixed with 1% by weight of potassium hydroxide and stirred constantly at 60 °C for about 90 min. The sample was allowed to settle for 24 h, and two different layers were obtained, i.e., biodiesel in the above layer and glycerol in the lower layer and separation of Calophyllum Inophyllum methyl ester (CIME) from glycerol is done. Lastly, the puriﬁcation of oil was carried out which involved a typical wash to eliminate residual alcohol and glycerol from the obtained biodiesel.

3 Experimental Setup The investigational study was done on a 4-stroke two-cylinder DI engine generally used for agricultural tractor applications (refer Table 1). This engine developed an utmost power output of 21 kW at an invariable speed of 2000 rpm. The engine loading and torque quantiﬁcation were carried out using an air cooled eddy current Table 1 Technical details of engine speciﬁcations Make and model

Simpsons make, S 217

Compression ratio

18.5:1

Type/ conﬁguration Rated power

Twin cylinder, 4-stroke, NA, vertical in-line diesel engine 21 kW @ 2000 rpm

Combustion chamber Fuel system

Bore stroke

91.44 mm 127 mm

Fuel injection pressure

Direct injection, hemispherical shape MICO Bosch in-line pump 220 bar

Displacement

1670 cc

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Table 2 Different properties of biodiesel and its blend concentrations [12] Properties

Diesel

B100

ASTM testing method

Density Flash point Fire point Kinematic viscosity Caloriﬁc value

815 53 65 2.3 42.5

865 160 178 5.58 39.8

D4052 D93 D93 D445 D270

Fig. 1 Schematic diagram of experimental setup

dynamometer capable of producing 75 kW power output which was coupled to the engine. A Mass Air Flow (MAF) sensor was utilized for measurement of flow rate of air inside the cylinders while the fuel consumption rate was calculated manually using a burette apparatus and a digital stopwatch. Kistler made pressure sensor was placed inside the cylinder head for investigation of in-cylinder pressure which was further linked to a combustion analyzer. For engine emissions measurement, AVL DiGas 444 exhaust gas analyzer was employed for measuring CO, HC, and NOx emissions whereas AVL 415 smoke meter was used for recording the exhaust smoke. The present research highlights the performance, combustion, and emission characteristics of an unmodiﬁed tractor diesel engine fueled with CIME blends like B5, B10, B20, and B100. All the experiments were conducted at a constant speed of 1500 rpm and at a consistent fuel injection pressure of 220 bar. The sample standard deviation was analyzed for obtaining exact results after repeating all tests for three times. (Please refer Table 2 for properties of various CIME blends and Fig. 1 for experimental engine setup).

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4 Results and Discussions 4.1

Brake Speciﬁc Fuel Consumption

The effect of biodiesel blends on the brake speciﬁc fuel consumption (BSFC) compared to pure diesel fuel are shown in Fig. 2(a). It was perceived that B5 blend produced a BSFC of 0.2136 kg/kWh which was 3.28% lower compared to the BSFC of pure diesel at maximum load whereas other biodiesel blends showed higher BSFC than B5 blend and pure diesel at full load condition. This result may be ascribed by lower heating value, high viscosity and density of CIME blends which cause the fuel injection rate to increase for attaining equal engine power output. Ashok et al. [12] mentioned that lower caloriﬁc value of Calophyllum Inophyllum biodiesel acts as a trade-off to BSFC by increasing the fuel injection rate. However, B5 biodiesel blend despite having slightly higher viscosity and density than pure diesel yielded the lowest BSFC which may be attributed to its better physical and chemical properties enhancing the fuel atomization rate and promoting better combustion characteristics.

4.2

Brake Thermal Efﬁciency

The variation of brake thermal efﬁciency (BTE) with respect to the brake mean effective pressure (BMEP) was studied as shown in Fig. 2(b). It was perceived that as the engine load increased, the BMEP increased, which in turn increased the thermal conversion efﬁciency for all the test samples. As per the results, diesel fuel showed comparatively higher BTE at every loading condition than all the biodiesel blends except B5 blend. The lower heating value and high rate of fuel consumption of biodiesel and its blends are said to have caused a decrease in the BTE at all loads.

Fig. 2 (a) Brake speciﬁc fuel consumption versus brake mean effective pressure at various loads and (b) brake thermal efﬁciency versus brake mean effective pressure at various loads

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But in case of B5 blend, the BTE was found to be always higher than pure diesel throughout the loading condition with a maximum of 34.1% which was 4.8% higher than diesel at full load condition. This increase in BTE for B5 blend may be due to slightly higher oxygen content which may have triggered better fuel atomization and complete combustion which was found concordant to previous studies [9].

4.3

In-Cylinder Pressure

The variation of in-cylinder pressure was monitored at various crank angles for all the test samples as shown in Fig. 3. It was noticed that B5 blend produced the maximum peak pressure of 74.016 ± 0.5 bar, whereas the peak pressure for pure diesel, B10, B20, and B100 blends were witnessed to be 73.81 ± 0.35, 72.7 ± 0.4, 72.27 ± 0.23 and 69.95 ± 0.28 bar at full load condition, respectively. In case of pure diesel, the ignition delay of the fuel proved to be very pivotal for attaining peak in-cylinder gas pressure. Previous studies showed that as the oxygen content increases for higher blend concentrations, the cetane number of the fuel increased and the ignition delay reduced which prompted the fuel to atomize and vaporize immediately after injection inside the combustion chamber and ignited it rapidly [13]. Even then, the peak in-cylinder pressures for all biodiesel blends were noted to be lower than conventional diesel due to higher heating value except B5.

Fig. 3 Variation of in-cylinder combustion pressure for all test samples at 100% load

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Fig. 4 (a) Variation of oxides of nitrogen and (b) carbon monoxide emissions for various loading conditions

4.4

Oxides of Nitrogen Emissions

Oxides of nitrogen emissions (NOx) are very much predominant in diesel engines and are mainly formed because of higher availability of oxygen, high cycle temperatures, and ample reaction time. The variations of NOx emissions for different BMEP are depicted in Fig. 4(a). It was noted that all the biodiesel blends produced higher NOx emissions with respect to conventional diesel at all loads. As the BMEP increased, diesel fuel showed 9.08%, 14.77%, 25.76%, and 38.63% lower average NOx emissions than B5, B10, B20, and B100 blends, respectively. Among all the blends, B5 showed the lowest NOx emissions at all loads. This may be caused due to high oxygen content and higher combustion temperatures in the local zones of combustion chamber, at all loading conditions. Muthukumaran et al. [13] have suggested that even if combustion for biodiesel blends starts in advance, still it doesn’t favor the diffusion combustion phase which seldom decreases the NOx emissions.

4.5

Carbon Monoxide Emissions

Carbon monoxide (CO) emissions are formed due to in-hom*ogeneity of fuel distribution with fuel-rich mixture. CO is oxidized into CO2 at higher cycle temperatures when oxygen is available adequately. From the results as seen in Fig. 4(b), it was noticed that all the CIME blends produced lower CO emissions compared to pure diesel at all loads. Diesel fuel produced 9.57%, 18.68%, 30.26%, and 43.36% higher average CO emissions than B5, B10, B20, and B100 blends, respectively. This may be due to the fact that with the rise in biodiesel blend concentrations, the increase in cetane number and extra oxygen content leads to lower formations of rich fuel pockets and promotes complete combustion. This result was found to be agreeable with previous studies [14].

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Fig. 5 (a) Variation of unburned hydrocarbon and (b) smoke emissions for various loading conditions

4.6

Unburned Hydrocarbon Emissions

The amount of unburned hydrocarbon (UBHC) emissions mainly depends on certain factors like properties of fuel and its spray characteristics, injection timing, fuel atomization rate, and piston displacement volume. Figure 5(a) shows the variation of unburned hydrocarbon emissions for various loading conditions. The UBHC emissions were noticed to be highest for pure diesel and started reducing as the biodiesel blend concentrations increased. Conventional diesel fuel produced 12.29%, 19.58%, 28.84%, and 40.78% higher average UBHC emissions than B5, B10, B20, and B100 blends, respectively. This may be because of the simultaneous effect of higher cetane number and higher oxygen content of CIME blends that promoted better fuel combustion and lowered the UBHC emissions which was found similar to previous research [12].

4.7

Smoke

CI engines are one of the largest emitters of smoke which are dependent on the amount of sulfur content and aromatic compounds in the fuel, cycle temperature, and availability of oxygen inside the combustion chamber. The smoke emissions for various test samples are shown in Fig. 5(b). It was noted that diesel produced higher amount of average smoke emissions that were found to be 2.12%, 3.88%, 8.53%, and 20.21% higher than B5, B10, B20, and B100 blends, respectively. At high load, smoke opacity observed by B100 was found to be least as compared to all other test samples, diesel being the maximum. Smoke opacity reduced as biodiesel concentration increases in the fuel. Mosarof et al. [15] inferred that biodiesel blends

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contain higher oxygen content, aromatic compounds, and almost no sulfur compared to diesel which helped in reducing smoke emissions at all loading conditions.

5 Conclusions The present research highlights the performance, combustion, and emission characteristics of an unmodiﬁed tractor diesel engine fueled with CIME blends. The following conclusions were drawn from the experimental results: • CIME B5 blend produced 3.28% lower BSFC and 4.8% higher BTE compared to diesel fuel. • CIME B5 blend produced the best combustion characteristics compared to all biodiesel blends with 0.28% increase in peak pressure compared to diesel at full load. • Emissions results for all biodiesel blends were observed to be lower than base diesel. However, B5 blend showed 12.29%, 2.12% and 9.57% decrease in average HC, smoke and CO emissions, respectively compared to conventional diesel. However, the NOx emissions were found to be higher for all blend concentrations than pure diesel. A ﬁnal conclusion can be drawn stating that 5% blend of CIME can be used directly in a diesel engine without any major alterations. Thus, CIME can be used as a potential alternative for diesel in India to enhance the performance and emission characteristics of an engine.

References 1. Jeshvaghani, H.S., Fallahipanah, M., Gahruei, M.H., Chen, L.: Performance analysis of diesel engines fueled by biodiesel blends via thermodynamic situation of an air standard diesel cycle. Int. J. Environ. Sci. Technol. https://doi.org/10.1007/s13762-013-0274-4 2. Yogish, H., Chandarshekara, K., Pramod, M.R.: A study of performance and emission characteristics of computerized CI engine with composite biodiesel blends as fuel at various injection pressures. Heat Mass Transf. 49, 1345–1355 (2013). https://doi.org/10.1007/s00231013-1181-4 3. Borugadda, V.B., Paul, A.K., Chaudhari, A.J., Kulkarni, V., Sahoo, N., Vaibhav, V.: Influence of waste cooking oil methyl ester biodiesel blends on the performance and emissions of a diesel engine. Waste Biomass Valor. https://doi.org/10.1007/s12649-0169749-0 4. Venkanna, B.K., Reddy, C.V.: Biodiesel production and optimization from Calophyllum Inophyllum linn oil (honne oil)—a three stage method. Biores. Technol. 100, 5122–5125 (2009). https://doi.org/10.1016/j.biortech.2009.05.023 5. Ong, H.C., Mahlia, T.H.I., Masjuki, H.H., Norhasyima, R.S.: Comparison of palm oil, Jatropha Curcas and Calophyllum Inophyllum for biodiesel: a review. Renew. Sustain. Energy Rev. 15, 3501–3515 (2011). https://doi.org/10.1016/j.rser.2011.05.005

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6. Atabani, A.E., Cesar, A.S.: Calophyllum Inophyllum L.—a prospective non-edible biodiesel feedstock. Study of biodiesel production, properties, fatty acid composition, blending and engine performance. Renew. Sustain. Energy Rev. 37, 644–655 (2014) 7. Sanjid, A., Masjuki, H.H., Kalam, M.A., Ashrafur, R.S.M., Abedin, M.J., Palash, S.M.: Impact of palm, mustard, waste cooking oil and Calophyllum Inophyllum biofuels on performance and emission of CI engine. Renew. Sustain. Energy Rev. 27, 664–682 (2013). https://doi.org/10.1016/j.rser.2013.07.059 8. Ong, H.C., Masjuki, H.H., Mahlia, T.M.I., Silitonga, A.S., Chong, W.T., Leong, K.Y.: Optimization of biodiesel production and engine performance from high free fatty acid Calophyllum Inophyllum oil in CI diesel engine. Energy Convers. Manag. 81, 30–40 (2014). https://doi.org/10.1016/j.enconman.2014.01.065 9. Monirul, I.M., Masjuki, H.H., Kalam, M.A., Mosarof, M.H., Zulkifli, N.W.M., Teoh, Y.H., How, H.G.: Assessment of performance, emission and combustion characteristics of palm, jatropha and Calophyllum Inophyllum biodiesel blends. Fuel (2016). https://doi.org/10.1016/ j.fuel.2016.05.010 10. Ong, H.C., Masjuki, H.H., Mahlia, T.M.I., Silitonga, A.S., Chong, W.T., Yusaf, T.: Engine performance and emissions using Jatropha Curcas, Ceiba Pentandra and Calophyllum Inophyllum biodiesel in a CI diesel engine. Energy 69, 427–445 (2014). https://doi.org/10. 1016/j.energy.2014.03.035 11. Rahman, S.M.A., Masjuki, H.H., Kalam, M.A., Abedin, M.J., Sanjid, A., Sajjad, H.: Production of palm and Calophyllum Inophyllum based biodiesel and investigation of blend performance and exhaust emission in an unmodiﬁed diesel engine at high idling conditions. Energy Convers. Manage. 76, 362–367 (2013). https://doi.org/10.1016/j.enconman.2013.07. 061 12. Ashok, B., Nanthagopal, K., Jeevanantham, A.K., Bhowmick, P., Malhotra, D., Agarwal, P.: An assessment of Calophyllum Inophyllum biodiesel fuelled diesel engine characteristics using novel antioxidant additives. Energy Convers. Manage. 148, 935–943 (2017). https://doi. org/10.1016/j.enconman.2017.06.049 13. Muthukumaran, N., Saravanan, C.G., Yadav, S.P.R., Vedharaj, V.S., Roberts, W.L.: Synthesis of cracked Calophyllum Inophyllum oil using fly ash catalyst for diesel engine application. Fuel 155, 68–76 (2015). https://doi.org/10.1016/j.fuel.2015.04.014 14. Palash, S.M., Kalam, M.A., Masjuki, H.H., Masum, B.M., Fattah, I.M.R., Moﬁjur, M.: Impacts of biodiesel combustion on NOx emissions and their reduction approaches. Renew. Sustain. Energy Rev. 23, 473–490 (2013). https://doi.org/10.1016/j.rser.2013.03.003 15. Mosarof, M.H., Kalam, M.A., Masjuki, H.H., Alabdulkarem, A., Ashraful, A.M., Arslan, A., Rashedul, H.K., Monirul, I.M.: Optimization of performance, emission, friction and wear characteristics of palm and Calophyllum Inophyllum biodiesel blends. Energy Convers. Manag. 118, 119–134 (2016). https://doi.org/10.1016/j.enconman.2016.03.081

A Novel Beetle-Inspired Fuel Injection System for Improved Combustion Efﬁciency R. Kuppuraj and S. A. Pasupathy

Abstract Flash evaporation technique inspired from bombardier beetle was investigated for diesel fuel injection system to improve the burning efﬁciency. The effect of flash evaporation on spray cone angle and spray penetration was investigated for two injection pressures with pintle type injector. Both the parameters were measured using a camera at a speed of 120 frames per second. The results of our pilot study suggest that wider cone angle and moderate penetration can be achieved even at low injection pressures which will eventually help to improve the combustion process and fuel efﬁciency and reduces carbon emission.

Keywords Flash evaporation Bombardier beetle Fuel injection system Carbon emission Biomimetics Spray and atomization

1 Introduction A typical fuel injection system produces ﬁne atomized spray with extremely small-sized droplets to achieve proper mixing of fuel with oxidizer [1, 2]. Burning efﬁciency of fuel and pollutant formation is greatly influenced by spray formation and its penetration inside the combustion chamber of heterogeneous systems like diesel engines [3]. Most of these systems use high-pressure injection mechanism to produce spray of desired droplet size and is limited to certain extent [4, 5]. However, the penetration is directly proportional to the injection pressure with no limits on penetration [1, 3]. Since the increase in injection pressure increases the penetration velocity, it also produces undesired effects like fuel impingement on the wall surface which may often affect the system [6]. Moreover, this will result in R. Kuppuraj Indian Institute of Science, Bangalore, India S. A. Pasupathy (&) Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore 641049, Tamil Nadu, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_45

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poor burning of fuel and high amount of emission. To overcome these problems, researchers are concentrating to produce ﬁner droplets at low injection pressures [7]. Flash boiling atomization is one of the most powerful alternate methods of producing ﬁne spray under the low injection pressures [8]. Flash evaporation is a process of rapid fuel evaporation when the fuel is exposed to a medium having pressure lower than the vapor pressure of the fuel. Although majority of the fuels are having low vapor pressure, the flash evaporation of these fuels can be achieved by preheating the fuel [9]. Despite the fact that the flash evaporation technique was effectively investigated for gasoline fuel injection system [10], it is yet to be investigated for diesel fuels. Since the diesel fuel has low vapor pressure, achieving flash evaporation in diesel fuel is proving very difﬁcult [11]. Natural spray mechanism found in bombardier beetle utilizes preheating principle to achieve flash boiling in its explosion chamber, and it ejects ﬁne spray to escape from predators [12]. This natural flash boiling concept can be a good source of inspiration to mitigate the problems associated with flash evaporation of diesel fuel. Hence, in this work, we adopted the preheating mechanism to diesel fuel and investigated the effect of spray formation for two different injection pressures with different preheating temperatures.

1.1

Bombardier Beetle—Spray Mechanism of Nature

To escape from the predators, bombardier beetles eject a very hot noxious fluid from the tip starting at the end of the abdomen as shown in Fig. 1. The ejection velocity varies between 3.25 and 19.5 m/s with a fluid temperature around 100 °C [13]. The ejection is enabled by the chemical reaction between two fluids (hydroquinone and hydrogen peroxide) which takes place inside the reaction chamber of the beetle as shown in Fig. 2. This ejection mechanism is very similar to the pulse combustion process takes place in common engineering systems. As vapor pressure of the fluid is directly proportional to the temperature, the chemical reaction increases the temperature inside the chamber which induces flash boiling in the beetle. This preheating concept is called superheating. However, the pressure inside the chamber is yet to be measured. In this work, the flash boiling and spray pattern of diesel was investigated by superheating the fluid as in bombardier beetle. Since the vapor pressure of diesel is lower than the ambient pressure, the flash boiling of diesel was achieved by superheating.

2 Materials and Methods Achieving flash evaporation at the ambient temperature and at the standard fuel injection pressure is difﬁcult due to low vapor pressure of the diesel. In order to accomplish the flash evaporation for diesel fuel, the regular fuel injection system

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Fig. 1 Photograph of bombardier beetle’s ejection shows that noxious liquid is discharged from the small tip starting from the abdomen. Figure reproduced from [14]

Fig. 2 Under the normal condition, pressure inside reaction chamber (2) is low, so the inlet passage (1) is open and exit valve (2) is in a closed condition. Due to low pressure, the fluid from the reservoir will be injected through (1) [15]

was modiﬁed as shown in Fig. 3 so as to mimic the bombardier beetle. The fuel from the reservoir was pumped through a fuel rail to the spring operated nozzle (pintle type). The fuel rail was wound with a heating coil, and the temperature of the fuel passing through the rail was controlled by varying the voltage supplied to the coil using an autotransformer. Arbitrarily chosen three different temperature (Tf = 30, 1000, and 1700 °C) were tested in this work for two different injection pressure (200 and 100 bar). The injection pressure was adjusted by changing the spring tension of the nozzle, and the pressure was measured using a gauge as shown in Fig. 3. The fuel jet from the nozzle ejected to the free environment was recorded by a standard video camera. The image quality was improved by using a focus lamp illuminated on the spray. The images of ejection were retrieved from the video footage, and they were analyzed using ImageJ software. The images were analyzed for cone angle and spray penetration distance. At each temperature, the measurement was repeated for three times, and the standard deviation of these three reading are shown as error bars in the results section. To compute the cone angle and penetration depth, it is necessary to have viscosity values for the temperature we had tested. Hence, the viscosity of the fuel at chosen temperatures was measured using Saybolt viscometer, which has a temperature range of 20–270 °C with measurement error of 0.2%. The viscosity measurements were conducted as per ASTM D-88, and the standard deviation of three measurements is shown as error bars in Fig. 4 (Table 1).

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Fig. 3 When reactants (hydro quinine and hydrogen peroxide) starts entering through (1), reaction chamber (2) which is a flexible membrane acts like a bourdon tube and expands as the pressure increases inside the chamber and closes the inlet (1) [15]

Fig. 4 Due to chemical reaction between reactants, the temperature increases and makes the fluid boiling which increase the pressure inside the chamber (2). After reaching certain level of pressure, the exit valve (4) opens to eject the fluid [15]

3 Results The primary and secondary breakup of droplets and the spray pattern are the common parameters usually investigated in spray studies [16]. The breakup of droplets is characterized by three nondimensional numbers: (1) Weber number, (2) Reynolds number, and (3) Ohnesorge number. Due to experimental limitations, in this work, only spray pattern was investigated, which includes cone angle and penetration depth. Since the fuel is preheated, it is essential to measure the viscosity of the fuel for these temperatures, and the same is shown in Fig. 4.

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Table 1 Experimental conditions Parameters

Speciﬁcations

Fuel used Injector type Injection pressure Ambient air pressure and density Fuel temperature Heating coil Spray imaging camera

Diesel oil (ASTM D975-13/grade no. 1-D S15) Single point plain atomizer (pintle type) 200 and 100 bar 1 bar and 1 kg/m3

Viscosity measurement

3.1

30–1700 °C Fiber Te on coated aluminum coil Video camera (8.9 megapixels) which records 120 frames per second Saybolt viscometer (ASTM D-88 standard)

Spray Pattern

The effect of preheating of fuel on spray pattern for two different injection pressures is depicted in Figs. 5 and 6. The cone angle () was measured from these images using the software, ImageJ. Due to the use of low-speed camera, the penetration depth could not be measured. As stated in Sect. 1, it is believed that the flash boiling was achieved due to preheating of diesel close to its boiling point. However, for low preheating temperatures, there was no variation in spray pattern was observed (Fig. 8).

Fig. 5 Schematic of experimental setup

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Fig. 6 The effect of temperature on viscosity of diesel fuel

Fig. 7 Photographic image shows spray pattern under different fuel temperatures @ 200 bar injection pressure

Fig. 8 Photographic image shows spray pattern under different fuel temperatures @ 100 bar injection pressure

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Fig. 9 Cone angle for varying temperatures at two different pressures: plot a at 200 bar injection pressure, b at 100 bar injection pressure

3.2

Spray Cone Angle

Effect of temperature on cone angle: The measured cone angle for increasing temperature at two different injection pressures is shown in Fig. 7 and 8. For each temperature, the experiment was conducted for three times, and the mean value was used in the graph, and the standard deviations of this experiment were shown as error bar (Fig. 9). The reason for the formation of large cone angle is due to the reduction in viscosity of the fuel. Since the viscosity is in inverse relation with temperature, the large cone angle was formed for higher preheating temperatures. This was also in accordance with [17], who investigated the spray cone angle for various fuels having different viscosity under constant injection pressure. Effect of injection pressure on cone angle: Even at low preheating temperature, the cone was formed for high injection pressure (200 bar). Whereas, when the pressure was dropped to 100 bar, the cone was not formed at low preheating temperatures, but a wide cone was formed for the temperatures close to the boiling point (see Fig. 8C). It was learned that the flash evaporation by preheating has the potential to form a cone angle even at low injection pressure (Fig. 9).

3.3

Spray Penetration

Effect of injection pressure on spray penetration: Due to experimental limitations, spray penetration after injection was not measured in this pilot study. However, it can be understood from physical meaning that the spray tip penetration is having a linear relationship with injection pressure. Hence, the penetration depth will be reduced for the reduction of injection pressure. Effect of fuel temperature on spray penetration: Few literatures [11, 18, 19] reported the effect of fuel temperature on spray formation due to flash boiling.

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Their results indicate that high fuel temperature increases the cone angle and decreases the penetration depth. The same effect was also observed in our study that wide cone angle was formed for high temperature with low injection pressure (100 bar) as shown in Fig. 8C. This wide cone angle reduces the penetration depth as compared with low temperature. Since the fuel is heated near to the boiling point, the fuel may start changing its phase as observed in the bombardier beetle. This change of phase may reduce the momentum of the fluid causing it to disperse rapidly and forming wider cone angle while reducing the penetration depth.

4 Discussion To achieve an effective combustion, an injection system should produce spray with wide cone angle, moderate penetration, droplets with extremely small size, quick evaporation, and rapid mixing with ambient fluid [2, 7]. As reported in our results Sects. 3.1 and 3.2, the concept of preheating inspired by bombardier beetle produces wider cone angle and medium spray tip penetration. However, this system provides an opportunity to investigate the occurrence of flash evaporation during the preheating process. Although other parameters are needed to be investigated, the initial results suggest that bio-inspired system will have the potential to produce efﬁcient fuel injection systems. The major limitation of this technique is that it requires external power source to preheat the fuel. However, the waste heat recovered from the exhaust can be used to preheat the fuel so as to reduce the power consumption. Since it also produces wider cone angle at low injection pressures, the cost and power required for high-pressure system can be substantially reduced. Moreover, this system can be effectively used for stationery IC engines used in power production applications, mixing enhancement in supersonic combustors and reducing the over penetration problems commonly occurred in hom*ogeneous charge compression ignition engines (HCCI). If this system is implemented in real time, it is anticipated that it will not only improve the combustion process but eventually reduces the harmful emissions. Our pilot study opens a new avenue to investigate the biomimetic flash evaporation technique for fuels similar to diesel. The various spray parameters such as droplet size, evaporation, mixing with air, combustion, and emission are needed to be further investigated in real-time systems with enhanced instrumentation. Nevertheless, bombardier beetle ejects the noxious fluid in a pulsed manner (500 pulses/s); it may also be a good resource to develop a multiple fuel injection system. Acknowledgements The authors would like to thank Indian Institute of Technology, Delhi (IITD), India, for permitting the ﬁrst author to carry out this work as a summer research fellow and also appreciate Professor M. R. Ravi of IITD for providing valuable suggestions during this work.

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References 1. Heywood, J.B.: Internal Combustion Engine Fundamentals, vol. 930. McGraw-Hill, New York (1988) 2. Sirignano, W.A.: Fluid Dynamics and Transport of Droplets and Sprays. Cambridge University Press (2010) 3. Van Basshuysen, R., Schfer, F.: Internal Combustion Engine Handbook—Basics, Components, Systems and Perspectives, vol. 345 (2004) 4. Crowley, P.J., Hilsbos, R.L., Wieland, H.L., Straub, R.D., Teerman, R.F., Timmer, R.C.: Common rail fuel injection system. Google Patents, 1992 5. Fort, L.N., Albert, A.F., Darragh, E.P.: High constant pressure, electronically controlled diesel fuel injection system. Google Patents, 1980 6. Rajkumar, S., Bakshi, S., Mehta, P.S.: Predicting mixing rates in multiple injection CRDI engines (2009) 7. Lefebvre, A.H.: Atomization and Sprays, vol. 1040. CRC Press (1989) 8. Sher, E., Bar-Kohany, T., Rashkovan, A.: Flash-boiling atomization. Prog. Energy Combust. Sci. 34(4), 417–439 (2008) 9. Parrish, S.E., Zink, R.J.: Spray characteristics of multi-hole injectors under flash boiling conditions. In: 21st Annual Conference on Liquid Atomization and Spray Systems (2008) 10. Kawano, D., Ishii, H., Suzuki, H., Goto, Y., Odaka, M., Senda, J.: Numerical study on flash-boiling spray of multicomponent fuel. Heat Transf. Asian Res. 35(5), 369–385 (2006) 11. She, J.: Experimental Study on Improvement of Diesel Combustion and Emissions Using Flash Boiling Injection. SAE International, Warrendale, PA, SAE Technical Paper 2010-01-0341 (2010) 12. Strahs, G.: Biochemistry at 100 °C: explosive secretory discharge of bombardier beetles (Brachinus). Science 165, 61–63 (1969) 13. Eisner, T., Aneshansley, D.J.: Spray aiming in the bombardier beetle: photographic evidence. Proc. Natl. Acad. Sci. 96(17), 9705–9709 (1999) 14. Beheshti, N., Mcintosh, A.C.: The bombardier beetle and its use of a pressure relief valve system to deliver a periodic pulsed spray. Bioinspir. Biomim. 2(4), 57 (2007) 15. McIntosh, A., Beheshti, N.: Insect inspiration. Phys. World 21, 29–31 (2008) 16. Huh, K.Y., Lee, E., Koo, J.: Diesel spray atomization model considering nozzle exit turbulence conditions. At. Sprays 8(4) (1998) 17. Su, T.F., Kozma, J.M., Warrick, C.B., Farrell, P.V.: Effects of fuel viscosity and ambient temperature on spray characteristics from multi-hole nozzle injectors. Int. J. Fluid Mech. Res. 24(1–3) (1997) 18. Neroorkar, K., Gopalakrishnan, S., Grover, J., Schmidt, D.P.: Simulation of flash boiling in pressure swirl injectors. At. Sprays 21(2), 179–188 (2011) 19. Xu, M., Zhang, Y., Zeng, W., Zhang, G., Zhang, M.: Flash Boiling: Easy and Better Way to Generate Ideal Sprays than the High Injection Pressure. SAE International, Warrendale, PA, SAE Technical Paper 2013-01-1614 (2013)

Effect of Friction Stir Processing on the Dry Sliding Wear Behaviour of AA6082-5TiB2 Composite Sreehari Peddavarapu and S. Raghuraman

Abstract AA6082 alloy reinforced with TiB2 particles was synthesized through stir casting method to yield the AA6082-5(wt%)TiB2 metal matrix composite. Dry sliding wear behaviour was studied to understand the effect of friction stir processing (FSP) on the composite with the design of experiment software, which was used to plan the experiments and was conducted at 15–50 N applied load and 300– 1200 rpm rotational speed. It was compared with the same set experiments performed on the sample without FSP. Experiments were conducted by preparing the samples according to speciﬁc dimensions on pin-on-disc tribometer at room temperature. Effect of applied load and rotational speed on the wear or mass loss was plotted. It was observed that the mass loss on both the composites is found to be different. Optical microscopy studies were conducted. Abrasive and adhesive wear mechanisms were observed due to the presence of hard TiB2 reinforcement particles. Keywords Alloy Reinforcements

Composite Wear Stir casting Coefﬁcient of friction

1 Introduction 6XXX series aluminium alloys are having high demand in defence, aerospace, ship building–marine and automotive industries due to their high strength to weight ratio and made them suitable for a variety of applications [1]. They have been introduced in the automotive components such as connecting rods, piston, brake rotors, cylinder liners, push rods by the world-reputed companies and proven to be successful to a certain extent [1–3]. Constant effort has been put up to improve the strength and wear properties of Al alloys in order to meet the ever-increasing need. These Al alloys are not suitable for high-temperature applications [2]. To overcome S. Peddavarapu (&) S. Raghuraman School of Mechanical Engineering, SASTRA University, Thanjavur 613401, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_46

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the poor elevated temperature and tribological properties, the hard particulate or whisker-type reinforcement ceramics such as oxides, borides and carbides are introduced into the Al-based matrix to enhance stiffness, speciﬁc strength, wear and fatigue properties at elevated temperature. Various methods are reported in the literature to produce aluminium matrix composites (AMCs) [1–3]. However, stir casting process is a cost-effective method for the bulk manufacturing. Production of stir-casted composites required considerable attention due to the factors such as the difﬁculty in achieving a uniform distribution of the reinforcement material, wettability between the two main substances, porosity in the cast metal matrix composites and the chemical reactions between the reinforcement material and the matrix alloy. Titanium diboride (TiB2) has some unique properties like high hardness (3400 HV), high Young’s modulus (345–409 GPa), low density and high wear resistance [4]. It is also noted that TiB2 does not react with the molten aluminium matrix, leads to no reaction product at interface, and TiB2 is also known to be the hardest material that can be reinforced with an alloy matrix [1, 4]. The porosity levels need to be minimized, and chemical reactions between the reinforcement materials and the matrix alloy must be avoided. Nevertheless, the strength of the composite depends on the aforementioned factors which demand the further processing like friction stir processing (FSP) to achieve the uniform distribution of the reinforcement material. Friction stir processing adopts the principle of friction stir welding in which the dynamic plastic deformation occurs in a solid state, produces the hom*ogenous ﬁne and equiaxed grains, replacing the coarse reinforcements as well the grains and thus development of superplastic properties. AMCs are successfully attempted and have been made to examine the effect of applied load and sliding velocity on the wear behaviour of aluminium alloy and its composites. The strong interaction between load and sliding velocity to cause wear of a material has been clearly demonstrated by several investigators [5]. Comprehensive reviews have been done on the abrasive wear behaviour of AMCs with a variety of reinforcements under different test conditions [4, 6]. It was noted that the study on the effect of TiB2 particles on the AA6082 alloy before and after FSP is necessary to know the effect of FSP as well as the wear parameters on wear behaviour. In the present study, the ceramic particles TiB2 were chosen as reinforcements in the AA6082 matrix to produce AA6082-5% TiB2 by stir casting method and FSP is performed on the stir-casted composite. Wear behaviour was examined to understand the effect of FSP on the in situ stir-casted composite. Effect of the applied load and sliding velocity on wear mass loss in as-cast condition and FSP were tested by pin on disc tribometer at room temperature. Wear maps were plotted with the help of design of experiment software to understand the mode of wear with the assistance of optical microscopy.

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2 Experimental Procedure 2.1

A6082-5%TiB2 Composite Preparation

AA6082-5%TiB2 composite was synthesized through an exothermic in situ reaction between K2TiF6 (109 g) and KBF4 (114 g) salts to yield titanium diboride (TiB2) dispersoids in the molten AA6082 alloy by stir casting route. This procedure was adopted from our earlier research work [1]. In situ TiB2 particles were formed inside the molten aluminium alloy through the following reaction. K2 TiF6 þ KBF4 þ Al alloy ! Al alloy þ TiB2 þ K2 AlF4 The K2AlF4 floats up as a dross which was removed subsequently. The melt was then stir-casted by top pouring into cast iron mould which was preheated to about 200 °C. See Peddavarapu et al. [1] for further detail preparation of AA6082-5% TiB2 composite.

2.2

Friction Stir Processing

On a converted vertical milling machine with a non-consumable cylindrical tool, FSP was carried out on AA6082-5(wt%)TiB2 metal matrix composite, synthesized through the stir casting method. From our previous experience [1], 40 mm/min feed at the tool rotation of 560 rpm produced the defect-free quality weld. Hence, the same set of feed and tool rotation has been selected for the current work. FSP process starts with plunging of a non-consumable cylindrical tool (Fig. 1b), which is brought into contact with the workpiece while it is rotating at the desired speed, until the shoulder of the tool touches the surface. After the tool makes contact, it is made to travel along a straight path. As the tool is continuously rotating, there is a large amount of heat that is generated due to the intense severe plastic deformation and the friction between the tool and the workpiece which in turn increases the temperature of the workpiece. The tool forges the material at the wake side as the tool moves forward and thus, a reﬁned equiaxed grain structure is formed.

2.3

Dry Sliding Wear Study

The cast sample (Sample1) and the FSP sample (Sample2) were cut to square cross section from both the composites to dimensions of 50 mm 6 mm 6 mm to conduct the wear test on pin on disc setup, and subsequently, they were mechanically

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Fig. 1 Mass loss maps for a Sample1; b Sample2

polished and etched with Keller’s reagent (1% HF, 1.5% HCl, 2.5% HNO3 and remaining water) for microstructural observations on optical microscopy. The design of experiment software was used to plan the experiments and conducted at 10–50 N applied load for 200–1400 rpm rotational speed for 15 min each to analyse the experimental results. Samples were polished on disc polishing before subjected to wear test. The initial weight of the samples was measured after cleaning with acetone followed by drying using an electronic weighing balance of 0.01 mg accuracy. Computer pin on disc tribometer was used to conduct the dry sliding wear tests against a counterface of EN31 steel disc of HRC 60. The disc was cleaned with acetone before and after the commencement of each test to get the precise values.

3 Result and Discussion The loss of mass due to wear in the mating parts leads to appreciable dimensional changes and in turn leads to catastrophic failure of parts. Therefore, it is essential to keep the mass loss within tolerance limits for a productive functional life period of mating parts in machinery. Thus, mass loss is considered as an important parameter in wear studies. Mass loss of the square pin specimens for each experiment was accurately calculated using a four decimal Shimadzu Digital Balance and correlated with load and speed. Totally, each nine experiments were conducted for Sample1 and Sample2 based on L9 orthogonal array as listed in the Table 1. Based on the experimental values for the mass loss obtained from the pin on disc test, results are plotted using the design of experiment software for both the specimens as shown in Fig. 1. Unlike FSP sample, the wear behaviour is substantially influenced by the porosity of cast sample (Sample1). Initial removal of metal called debris occupies

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Table 1 Mass loss values for stir-casted sample and FSP sample Experiment no.

Load (N)

Speed (RPM)

Mass loss (g) (without FSP) (Sample1)

Mass loss (g) (with FSP) (Sample2)

1 2 3 4 5 6 7 8 9

1.5 2.01 2.01 3.25 3.25 3.25 4.5 4.5 5

750 431.8 1068.1 300 750 1200 431.8 1068 750

0.0111 0.011 0.0135 0.0361 0.0175 0.0239 0.0123 0.0149 0.0152

0.0141 0.0079 0.0079 0.0069 0.0126 0.3008 0.0175 0.2225 0.0167

the pores on the worn surface, which in turn affects further wear behaviour of the material result in different wear maps (Fig. 1a, b) for Sample1 and Sample2, respectively. From the Table 1, the maximum mass loss is observed for the Sample2 which is due to the FSP that produces the ﬁne grains along with the broken reinforcements as a result of dynamic recrystallization (DRX). This DRX decreases hardness of the specimen which in turn lowers the wear resistance. The general trend observed in the alloys is that the mass loss increases with increase in load at any speed. This is in conformity with the general principle of wear. The reason for this trend is the delamination of oxide layer forming on the contact surface of the specimen, which subsequently increases the wear rates [7–9]. This trend was observed in Sample2, whereas in Sample1 wear behaviour is different due to the porosity from the casting. However, beyond a threshold load, the trend is reversed which may be due to oxidative wear. It is reported in the literature [9–12] that at higher loads with the nominal speeds, heat generation is predominant due to friction result in oxidative layers which prevent further wear. The same is reported even for the high speeds at moderate load. Figure 2a illustrates the typical dendritic microstructure and the reinforcements of the AA6082-5%TiB2 as-cast composite. Figure 2b depicts the microstructure of completely recrystallized ﬁne grains and reinforcements due to FSP. Optical microscope images in Fig. 3a, b exhibit the maximum worn surfaces of the cast sample and the FSP sample, respectively. Worn surface analysis of pin samples indicates parallel grooves, craters, and partial irregular pits were observed in both the composites, which indicate adhesive wear. The plastic flow of the material on the pin was due to abrasion and the wear tracks clearly show the traces of micro-cutting and micro-ploughing effect which suggest abrasive wear mechanism [5]. Thus, both abrasive and adhesive wear mechanisms are observed with abrasive wear mechanism being predominant in nature. It can be expected that hard ceramic reinforcements reduced the deformation by hindering the plastic flow of the matrix material (AA 6082) during the abrasive action of ceramic grit [11].

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Fig. 2 Optical microscopic images at 100X of a Sample1; b Sample2

Fig. 3 Optical microscope images of the maximum worn surface at 100X of a Sample1; b Sample2

4 Conclusion Dry sliding wear behaviour of cast sample and the FSP sample was studied by understanding the wear mechanisms for the different sliding speeds and applied loads. The response of both the samples are studied with respect to a mass loss for an almost identical set of experimental conditions and found to be different and found the following conclusions: 1. For relatively moderate applied load at higher speed, wear mechanism map pertaining to cast sample shows maximum wear, whereas FSP sample shows to have maximum wear at relatively higher load and at speed. 2. Wear modes were studied for both the composites which indicate the abrasive and adhesive wear mechanisms with abrasive wear mechanism being predominant in nature.

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References 1. Peddavarapu, S., Raghuraman, S., Bharathi, R.J., et al.: Micro structural investigation on friction stir welded Al–4.5 Cu–5TiB 2 Composite. Trans. Indian Inst. Met. 70, 703–708 (2017) 2. Kalaiselvan, K., Murugan, N.: Role of friction stir welding parameters on tensile strength of AA6061–B4C composite joints. Trans. Nonferrous Met. Soc. China 23, 616 (2013) 3. Ashish, B., Saini, J.S., Sharma, B.: A review of tool wear prediction during friction stir welding of aluminium matrix composite. Trans. Nonferrous Met. Soc. China 26, 2003 (2016) 4. Tee, K.L., Lu, L., Lai, M.O.: Wear performance of in-situ Al–TiB2 composite. Wear 240, 59 (2000) 5. Poria, S., Sahoo, P., Sutradhar, G.: Tribological characterization of stir-cast aluminium-TiB2 metal matrix composites. Silicon 8, 591 (2016) 6. Suresh, S., Moorthi, N.S.V., Vettivel, S.C., Selvakumar, N.: Mechanical behaviour and wear prediction of stir cast Al–TiB2 composites using response surface methodology. Mater. Des. 59, 383 (2014) 7. Akbari, M.K., Baharvandi, H.R., Shirvanimoghaddam, K.: Tensile and fracture behaviour of nano/micro TiB2 particle reinforced casting A356 aluminium alloy composites. Mater. Des. 66, 150 (2015) 8. Sivaprasad, K., Kumaresh Babu, S.P., Natarajana, S., et al.: Study on abrasive and erosive wear behaviour of Al 6063/TiB2 in situ composites. Mater. Sci. Eng A 498, 495 (2008) 9. Kandavel, T.K., Chandramouli, R., Manoj, M., et al.: Influence of copper and molybdenum on dry sliding wear behaviour of sintered plain carbon steel. Mater. Des. 50, 728 (2013) 10. Kaushik, NCh., Rao, R.N.: Effect of applied load and grit size on wear coefﬁcients of Al 6082–SiC–Gr hybrid composites under two body abrasion. Tribol. Int. 103, 298 (2016) 11. Kumar, N., Rao, P.N., Jayaganthan, R., et al.: Effect of cryorolling and annealing on recovery, recrystallisation, grain growth and their influence on mechanical and corrosion behaviour of 6082 Al alloy. Mater. Chem. Phys. 165, 177 (2015) 12. Kaushik, NCh., Rao, R.N.: Effect of grit size on two body abrasive wear of Al 6082 hybrid composites produced by stir casting method. Tribol. Int. 102, 52 (2016)

Optimization of Sliding Wear Performance of Ti Metal Powder Reinforced Al 7075 Alloy Composite Using Taguchi Method A. Kumar, A. Patnaik and I. K. Bhat

Abstract Al 7075 matrix composite reinforced with titanium metal powder was fabricated by stir casting method. Microstructure and wear properties of matrix alloy and developed composites have been evaluated. The composites with varying ﬁller content from 0 to 2 wt% Ti were fabricated using high vacuum casting machine technique. Dry sliding friction and wear tests were performed on multi-specimen tribotester machine over a normal load range of 20–80 N and sliding velocities of range 0.25–1.25 m/s. The experiments were carried out using Taguchi’s L25 orthogonal array, and the influence of working factors on wear rate was examined using ANOVA techniques. Results revealed that Al 7075 Ti alloy composite exhibited lower coefﬁcient of friction and wear rate increased. Wear rate of composites increased with increased in load and sliding velocity. It is observed that the 2 wt.%Ti ﬁlled 7075 aluminium alloy composite is demonstrated minimum speciﬁc wear rate. Morphological studies on worn surface were examined using scanning electron microscope (SEM).

Keywords Al 7075 alloy Wear Titanium metal powder scanning electron microscopy (FESEM)

Field emission

1 Introduction High strength 7075 alloy matrix composites have drawn considerable interest in aerospace, automotive, chemical, biochemical and other advanced structural applications due to outstanding mechanical properties, like the lightweight, high A. Kumar (&) Mechanical Engineering Department, FGIET, Raebareli 229316, Uttar Pradesh, India e-mail: [emailprotected] A. Patnaik Mechanical Engineering Department, M.N.I.T, Jaipur 302017, India I. K. Bhat Applied Mechanics Department, M.N.N.I.T, Allahabad 211004, Uttar Pradesh, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_47

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strength, high stiffness, and good wear resistance [1]. Baradeswaran et al. [2] have studied the mechanical behaviour, modelling and optimization of wear parameters of B4C and graphite reinforced aluminium hybrid composites and have reported that the hardness and wear resistance of composites increase with increase in particulate ﬁller content in base matrix. Wang and Song [3] have reported the sliding wear behaviour of Al2O3 ﬁbre/SiC particle ﬁlled aluminium alloy matrix and fabricated by using squeeze casting techniques. They have observed that wear resistance decreases with increase in the ﬁller content (SiC) at room temperature while the temperature increases with decrease in the wear resistance of composites. Many researcher have been reported by Kumar et al. [4] have observed that the wear resistance and microhardness increased with increase in TiO2 Content and have investigated that the micro structures of worn surface is analysed by scanning electron microscopy (SEM) and Phase analysed by XRD Techniques. Thakur et al. [5] have studied the influence of changing wt% amount of Ti particulate ﬁlled aluminium alloy composites and have reported that the mechanical properties such as yield strength, ultimate tensile strength and elastic modulus increase with increase in ﬁller content while ductility decrease with the addition Ti reinforced in alloy matrix. Mobasherpour et al. [6] have investigated the influence of nanosize Al2O3 reinforcement on the mechanical behaviour of synthesis 7075 aluminium alloys composites and have observed that hardness tensile strength and density increase with increase in ﬁller content, and then the worn surface of composites was analysed by using SEM, and peak are identiﬁed by XRD. Toptan et al. [7] have studied the influence of B4C volume fraction, sliding velocity, applied load and sliding distance on reciprocal dry wear behaviour of composites and have reported that the coefﬁcient friction and speciﬁc wear rate increase with increase in ﬁller content, and worn surface of specimen is determined by SEM. In the light of above, the present investigation focuses on friction and wear behaviour of Ti metal powder reinforced 7075 aluminium alloy composites using Taguchi’s DOE.

2 Experimental Details 2.1

Preparation of the Specimens

The aluminium alloy (Al 7075) was used as the base material, with Ti metal powder as the ﬁller content. The Al 7075 alloy composites were fabricated by high vacuum casting machine and then the various wt% of titanium ﬁller (0–2 wt% at step of 0.5%) content. The ﬁne particle size of titanium metal powder was used as ﬁller material. The chemical composition of Al 7075 was determine and listed in Table 1. The base material (Al 7075) was melted in a graphite crucible 700 °C using vacuum furnace. Temperature control instrument for the molten metal was kept ,with thermo couple put into melts section then it is measured to melts section temperature.

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Table 1 The chemical composition of Al 7075 alloy (wt%) Element

Content

0.4

0.5

1.6

0.3

2.5

0.15

5.5

0.2

Bal.

The preparation of Ti particulate ﬁlled Al 7075 alloy composites takes place in a high-temperature vertical vacuum furnace which is the assembly of one heating unit that include one graphite crucible, plunger through a narrow 8 mm diameter tip and temperature measuring instrument (infrared temperature measuring sensor). Then mixture of 2 wt% magnesium was added that improves wet ability of the composites. Hence, the molten material with addition of reinforcement was poured directly into cast iron mould (140 90 10 mm) via opened plunger followed by its solidiﬁcation. The fabricated alloy composites cools at room temperature, and then the composite material specimens were prepared for mechanical characterization and wear behaviour of composites.

2.2

Tribological Testing

The tribological behaviour of the specimens was performed using multi-specimen tester equipment, manufactured by Ducom Engineers, Bangalore, as per ASTM G 99. Tribotester was used to simulate the speciﬁc wear rate as per ASTM G 99 standard at ambient environmental conditions. The experimental data are listed in Table 2, using EN-31 hardened steel disc (60–70 HRC). The specimens of 10 mm diameter and 13 mm height pins were prepared from the composites and then polished at different grade size paper for wear test. The tests were performed at room temperature (30 °C) at a sliding speed of 0.25 m/s, under 20, 35, 50, 65 and 80 N applied load, using wear track diameter 40 mm with sliding velocity 0.25 m/s and sliding distance of 250 m. The steady-state experiments were conducted at room temperature (30 °C) at applied normal 20 N under sliding speed of 0.25–1.25 m/s, using wear track diameter 40 mm with sliding distance of 250 m. The specimens were cleaned with acetone, dried, and their weight was computed for ﬁnd out the weight loss by using an electronic weighing machining with accuracy of ±0.001 mg.

Table 2 Working range of selected parameters Control

Level I

III

units

Normal load Filler content Sliding velocity Sliding distance

20 0 0.25 250

35 0.5 0.50 500

50 1 0.75 700

65 1.5 1 1000

80 2 1.25 1250

N % m/s m

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The speciﬁc wear rate (Ws; mm3/N-m) of alloy composites is evaluated using below expression [8] Ws ¼

Dm q vs t f n

ð1Þ

where Dm represents mass loss of samples (g), q is the sample density (g/cc), vs is the sliding velocity (m/s), t is the test duration (s) and fn is the normal load (N).

2.3

Experimental Design

Taguchi optimization technique minimizes the experimental run without considerable data loss and was an effective method to solve the complex problem. Here, the performance characteristic was represented by S/N ratio for the lower the better (LB) approach. The input control factors and their values are listed in Table 2. Here, we made use of L25 orthogonal array design for one output parameter, i.e. wear rate. The S/N ratio with a LB characteristic is given by [8]. S 1X 2 ¼ 10 log Y N N

ð2Þ

where N = number of observation and Y = observed data. Finally, the signiﬁcant factor setting and optimal performance are analysed via analysis of variance (ANOVA) was evaluated.

2.4

Surface Morphology Studies

The surface morphology behaviour of Ti metal powder ﬁlled Al 6061 alloy composites was examined below area emission scanning electron microscope (FEI Nova Nano SEM 450, USA).

3 Results and Discussion 3.1

Effect of the Sliding Velocity on Speciﬁc Wear Rate of Ti Metal Powder Filled Al 7075 Alloy Composites

The variation of the sliding velocity on speciﬁc wear rate of Ti metal powder ﬁlled Al 7075 alloy composites are shown in Fig. 1. The constant normal load and sliding

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1.4x10

Specific wear rate (mm3/N-m)

Fig. 1 Effect of sliding velocity on speciﬁc wear rate of Ti metal powder ﬁlled Al 7075 alloy composites

489

0 wt.% Ti-Al7075 0.5wt.% Ti-Al7075 1 wt.% Ti-Al7075 1.5wt.% Ti-Al7075 2 wt.% Ti-Al7075

-2

1.2x10

-2

1.0x10

-3

8.0x10

-3

6.0x10

-3

4.0x10

0.25

0.50

0.75

1.00

1.25

Sliding velocity (m/s)

distance are taken as 20 N and 250 m. It is observed that the wear rate of composite are shown higher (0.01088 mm3/N-m) at higher load 80N, while the increased in ﬁller content, the wear rate is decreased. It is noted that wear rate of all composites shows the continuous linearly decrease, after that the wear rate is hastily increased. The decreased in wear rate at 0.75 m/s sliding velocity, after that wear rate of composite is increased from 0.75 to 1.25 m/s. In general, the wear rate of fabricated composites decreases due to better interfacial bonding reinforcement and matrix and more hardness of composite. The wear rate of composite material increases due to poor bonding between matrix and reinforcement. The decrement in wear rate due to the debris particles reaches on counter surface and then wear rate is minimised along with sliding speed [8]. It is observed that the wear rate increased due to the friction heat increases with the increase of the sliding velocity, the oxidation reaction on the tribo-surface and increasing the formation rate of oxidation protective ﬁlms [9].

3.2

Effect of Sliding Velocity on Coefﬁcient of Friction of Ti Metal Powder Filled Al 7075 Alloy Composites

Figure 2 shows the variation of sliding velocity on coefﬁcient of friction of Ti metal powder ﬁlled Al 7075 alloy composites. The results noticed that with the increase in sliding velocity the speciﬁc wear rate of unﬁlled and particulate ﬁlled alloy composites continuously decreases irrespective of different ﬁller content. The friction of coefﬁcient value is maximized at 0.25 m/s sliding velocity, while the minimized value of coefﬁcient friction at 0.5 m/s sliding velocity. It is mainly attributed that the coefﬁcient of friction value decreases with increase in sliding velocity while the

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0.065 0.060 Coefficent of friction (μ)

Fig. 2 Effect of sliding velocity on coefﬁcient of friction of Ti metal powder ﬁlled Al 7075 alloy composites

0.055 0.050 0.045 0.040 0.035 0.030 0.025 0.020 0.015 0.010 0.25

0.50

0.75

1.00

1.25

Sliding velocity (m/s)

coefﬁcient of friction decreases with increase in ﬁller content. The coefﬁcients of friction of fabricate alloy composites decreases due to the sliding action takes place between disc and pin surface, inhibiting metal to metal contact of the sliding surfaces [10]. Thus, coefﬁcient of friction decreases slowly. It is another reason that the coefﬁcient of friction decrease due to increase the temperature between pins and disc surface. And the coefﬁcient of friction decrease with increasing sliding velocity [11].

3.2.1

Effect of Normal Load on Speciﬁc Wear Rate of Ti Metal Powder Filled Al 7075 Alloy Composites

Figure 3 depicts that the variation of normal load on speciﬁc wear rate of Ti metal powder ﬁlled Al 7075 alloy composites. It is observed that the speciﬁc wear rate of unﬁlled Al 7075 alloy composites are maximum speciﬁc wear rate as compared to ﬁller ﬁlled Al 7075 aluminium alloy composites. The higher speciﬁc wear rates of all wt% of composites are occurred in between 65 and 80 N Normal loading condition. It is mainly attributed to the speciﬁc wear rate increased because of the particle size, hom*ogeneous mixture, hardness of the reinforcement and matrix alloy, respectively. It is observed that the speciﬁc wear rate of 2 wt% titanium particulate shows the lower wear rate in comparison to neat alloy composites. It is observed that the order of speciﬁc wear rate is 0 wt% > 0.5 wt% > 1.0 wt% > 1.5 wt% > 2 wt%. The speciﬁc wear rate increases due to plastic deformation of material. The reason that the speciﬁc wear rate increases due to the high temperature, plastic deformation of disc surface generated increasing to the adhesion of pin surface on to the disc [12]. Similar result are report by A. K. Mondal obtained that the speciﬁc wear rate of composites increases with increasing load while the speciﬁc wear rate decreases with increase in the ﬁller content [13].

Optimization of Sliding Wear Performance of Ti Metal Powder … -2

4.5x10

0 wt% Ti-Al7075-1 0.5wt% Ti-Al7075-2 1 wt% Ti-Al7075-3 1.5wt% Ti-Al7075-4 2 wt% Ti-Al7075-5

-2

4.0x10

Specific wear rate (mm3/N-m)

Fig. 3 Effect of normal load on speciﬁc wear rate of Ti metal powder ﬁlled Al 7075 alloy composites

491

-2

3.5x10

-2

3.0x10

-2

2.5x10

-2

2.0x10

-2

1.5x10

-2

1.0x10

-3

5.0x10

0.0 20

Normal load (N)

Fig. 4 Effect of normal load on coefﬁcient of friction of Ti metal powder ﬁlled Al 7075 alloy composites

0.10

0 wt% Ti-Al7075 0.5wt% Ti-Al7075 1 wt% Ti-Al7075 1.5wt% Ti-Al7075 2 wt% Ti-Al7075

0.09

Coefficent of friction (μ)

0.08 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00 20

Normal laod (N)

3.2.2

Effect of Normal Load on Coefﬁcient of Friction of Ti Metal Powder Filled Al 7075 Alloy Composites

Figure 4 depicts the variation of coefﬁcient of friction under various normal loads (keeping other factors is constant: sliding velocity; 0.25 m/s, sliding distance; 250 m) for base and particulate ﬁlled 7075 Al alloy composites. It is evident from the ﬁgure that the coefﬁcient of friction increases with the increase in normal load for various wt% of titanium metal powder particulate ﬁlled 7075 Al alloy

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composites; it can be occurred due to hard reinforced particles may be remove during rubbing process and get pin between surface that lead maximum coefﬁcient of friction [14]. The higher value of coefﬁcient of friction, i.e. in between 0.075 and 0.090 is observed for 0 wt% of titanium metal powder particulate ﬁlled 7075 Al alloy composites [15]. The coefﬁcient of friction increases with increase in ﬁller content, normal load and sliding distance. Thus, the coefﬁcient of friction increases with increase in load whereas coefﬁcient of friction decrease with increase in ﬁller content.

3.3

Taguchi Design Experimental Analyses

The test results are also determined by using the Taguchi technique, and signiﬁcant factors affecting material loss are identiﬁed. The Taguchi analysis results are given in Table 3; the overall mean for S/N ratio of the wear rate is obtained to be 30.002 dB. Figure 5 depicts graphically the influence of the three control parameters on speciﬁc wear rate. These results are analysed by using the MINITAB 16, famous software particularly used for design of experiment applications. The S/N ratio response is presented in Table 4. It depicts the determined S/N ratios for every level of control factors. The delta value shows that for each control factor have signiﬁcant influence. The delta value equals the difference between higher and lower S/N ratios for a particular factor. The maximum value of delta, the higher influence, is control factor. It is evident from the ﬁgure that the sliding distance is the higher signiﬁcant factor followed by sliding velocity and normal load while the reinforcement has the less or almost no signiﬁcance on wear rate of the titanium metal powder ﬁlled alloy composite. Finally, The control parameter trends show the sliding distance, sliding velocity, reinforcement and normal load. The results observed that the speciﬁc wear shows minimum at various condition (i.e normal load, sliding distance, ﬁller content etc.) [16, 17].

3.4

ANOVA and Effect of Factor

The aim of the statistical analysis of variance (ANOVA) is to examine which design factor mainly affects the wear rate. The optimal combination of the process factors is predicted by using the ANOVA techniques. These results are carried out for level of signiﬁcance of 5% (i.e. the level of conﬁdence 95%). From the ANOVA Table, It is observed that the speciﬁc wear rate trend is Sliding velocity > Normal Load > Reinforcement > Sliding distance. Table 5 shows the analysis of variance for S/N ratios of the wear rate. From the Table 5, It noticed that the value of R-Sq (64.20), Normal load (23.68%), Filler content (18.85%) and sliding distance (2.37%). The influence of sliding distance and reinforcement on the wear rate is obtained to be insigniﬁcant with very less percentage contributions.

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Table 3 Experimental layout of L25 orthogonal array Expt. no.

Normal load (N)

Filler Content (wt%)

Sliding velocity (m/s)

Sliding distance (m)

Speciﬁc wear rate (mm3/N-m)

S/N ratio (dB)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

20 20 20 20 20 35 35 35 35 35 50 50 50 50 50 65 65 65 65 65 80 80 80 80 80

0 0.5 1.0 1.5 2.0 0 0.5 1.0 1.5 2.0 0 0.5 1.0 1.5 2.0 0 0.5 1.0 1.5 2.0 0 0.5 1.0 1.5 2.0

0.25 0.50 0.75 1.0 1.25 1.0 1.25 0.25 0.50 0.75 0.50 0.75 1.0 1.25 0.25 1.25 0.25 0.5 0.75 1.00 0.75 1.0 1.25 0.25 0.5

250 500 750 1000 1250 250 750 1000 1250 250 750 1000 1250 250 500 1000 1250 250 500 750 1250 250 500 750 1000

0.006667 0.006954 0.025035 0.002782 0.017385 0.003042 0.016064 0.087622 0.133866 0.010131 0.010431 0.027809 0.131041 0.009736 0.086926 0.016273 0.113004 0.020341 0.090313 0.042377 0.027805 0.005563 0.010014 0.267038 0.333797

43.5218 43.1552 32.0291 51.1140 35.1964 50.3356 35.8829 21.1478 17.4666 39.8867 39.6334 31.1161 17.6518 40.2326 21.2170 35.7709 18.9381 33.8327 20.8850 27.4575 31.1175 45.0934 39.9879 11.4686 9.5304

3.5

Surface Morphology of Ti Metal Powder Filled Al 7075 Alloy Composite

The studies of SEM photographs for titanium metal powder ﬁlled with aluminium alloy composites materials Taguchi design experimental test runs are illustrated in Fig. 6. The SEM image in Fig. 6 has the maximum SWR for fabricated composite materials under L25 Taguchi design of experimental test runs (Table 3). Figure 6a shows the SEM image for the ﬁrst run (i.e. Experiment run 4, Table 3). It observed that the worn surface of composite specimen shows the lowest wear rate (0.002782 mm3/N-m) for 1.5 wt% of particulate titanium metal powder ﬁlled metal alloy composites at lower load (20 N) and less sliding velocity (0.25 m/s). Figure 6a shows debris particle and sliding direction. The debris particles are

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Main Effects Plot for SN ratios Data Means

Load (N)

Reinforcement (wt.%)

Mean of SN ratios

35 30 25 20

35 50 65 Sliding velocity (m/s)

0.0

0.5 1.0 1.5 slidining distance (m)

1.25

250

500

2.0

40 35 30 25 0.25

0.50

0.75

1.00

750

1000

1250

Signal-to-noise: Smaller is better

Fig. 5 Effect of control factors on wear rate of Ti ﬁlled Al 7075 alloy composites Table 4 Response Table for Signal to Noise Ratios Smaller is Better Level

Normal load (N)

Reinforcement (wt%)

Sliding velocity (m/s)

Sliding distance (m)

1 2 3 4 5 Delta Rank

41.00 32.94 29.97 27.38 27.44 13.63 3

40.08 34.84 28.93 28.23 13.42 13.42 4

23.26 28.72 31.01 38.33 37.41 15.07 2

42.15 31.31 29.29 24.07 18.08 18.08 1

Table 5 Analysis of variance for SNRA1 using adjusted SS for tests Source Normal load Filler content Sliding velocity Sliding distance Error Total S = 12.1843, R-Sq =

Seq SS

4 639.6 4 625.5 4 785.7 4 78.9 8 1187.7 24 3317.4 64.20%, R-Sq (adj)

Adj SS

Adj MS

P (%)

639.6 625.5 785.7 78.9 1187.7

159.9 156.4 196.4 19.7 148.5

1.08 1.05 1.32 0.13

0.428 0.438 0.340 0.966

19.28 18.85 23.68 2.37 35.80 100

= 0.00%

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Fig. 6 Micrographs of the highest SWR of the composite materials under L25 Taguchi design of experimental test runs

generated by plastic deformation. An increased in load on counter surface of disk and pin sample, then wear rate is also increased. It is noticed that the sliding direction occurred due to high material loss of sample in parallel groove direction. The micrograph (Fig. 6b) for 0.5 wt% of particulate ﬁlled with aluminium alloy composites shows the maximum wear rate (Experiment run 9, Table 3) at 0.50 m/s sliding velocity, applied normal load (35 N) and sliding distance (1250 m). Figure 6b shows the deep grooves and plough mechanism. The deep grooves occurred due to the increase in applied load and plastic deformation of material,

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i.e. high content of mass loss. The plough mechanism occurs due to large plastic deformation and wear debris particles. [18]. Figure 6c depicts the photographs for 1 wt% Ti particulate ﬁlled Al 7075 aluminium alloy composite which shows the higher speciﬁc wear rate (Experiment run 13, Table 3) under sliding condition at sliding velocity (0.25 m/s), normal load (50 N) and the sliding distance (1250 m). The cracks may be due to increase of the normal load leads to enhancing of the temperature of sliding surfaces [19]. Figure 6d depicts the SEM photographs for 1.5 wt% Ti particulate ﬁlled aluminium alloy composites which depicts the maximum speciﬁc wear rate [Experiment run 17, Table 3 via sliding condition such as sliding velocity (0.25 m/s) normal load (65 N), sliding distance (1250 m)]. From the graph, it is clear that plough mechanism and debris occur due to increasing of applied load, ﬁller content and formation of pits [20]. The SEM micrograph depicted in Fig. 6e for 2 wt% Ti metal powder ﬁlled Al 7075 alloy composite against (Experiment run 22, Table 3) for a sliding velocity of 0.5 m/s load 80 minimum wear rate. From the graph, it is clearly observed that the wear debris due to higher load and deformation of material.

4 Conclusions From the study on friction and tribological properties of titanium metal powder ﬁlled 7075 aluminium alloy composites, the following inference are derived. • The wear resistance is better due to ﬁller content, hence could be potential new developed composites materials for gear applications. • The speciﬁc wear rate of fabricated alloy composites decreases with increase in sliding velocity (0.25–1.25 m/s) under steady-state conditions. The wear rate order is: 0 wt% Ti > 0.5 wt% Ti > 1 wt% Ti > 1.5 wt% Ti > 2 wt% Ti while the COF order is: 0 wt% Ti > 0.5 wt% Ti > 1 wt% Ti > 1.5 wt% Ti > 2 wt% Ti order, respectively. • The speciﬁc wear rate of said alloy composites increases with normal load (20–80 N) under steady-state conditions. The order of wear rate is: 0 wt% Ti > 0.5 wt% Ti > 1 wt% Ti > 1.5 wt% Ti > 2 wt% Ti irrespective of the normal load condition while COF order is 0 wt% Ti > 0.5 wt% Ti > 1 wt% Ti > 1.5 wt% Ti > 2 wt% Ti, respectively. • The experimental analysis via Taguchi approach highlights minimum speciﬁc wear rate for 0 wt% Ti particulates ﬁlled alloy composites at normal load of 35 N; sliding velocity of 1 m/s; sliding distance of 1000 m. The ANOVA analysis order is sliding distance < sliding velocity < normal load < ﬁller content. • The worn surface morphology of specimens indicates the associated wear mechanism responsible for wear rates of such alloy composites under experimental parameters at laboratory environment. The alloy composites with 2 wt% Ti particulate ﬁller content shows minimum speciﬁc wear rate hence, deemed ﬁt for gear applications.

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References 1. Hongqiang, D., Yuanfei, H., Lu, W., Liqiang, W., Jianwei, M., Zhang, D.: Conﬁguration design and fabrication of laminated titanium matrix composites. Mater. Des. 99, 219–224 (2016) 2. Baradeswaran, A., Vettivel, S.C., Perumal, A.E.: Experimental investigation on mechanical behavior, modeling and optimization of wear parameters of B4C and graphite reinforced aluminum hybrid composites. Mater. Des. 63, 620–663 (2014) 3. Wang, Y.Q., Song, J.: Dry sliding wear behavior of Al2O3 ﬁber and SiC particle reinforced aluminum based MMCs fabricated by squeeze casting method. Tans. Nonferrous Met. Soc. China 21, 1441–1448 (2011) 4. Kumar, A.V., Rajadurai, S.J.: Influence of rutile (TiO2) content on wear and micro-hardness characteristics of aluminum-based hybrid composites synthesized by powder metallurgy. Trans. Nonferrous Met. Soc. China 26, 63–73 (2016) 5. Thakur, S.K., Gupta, M.: Improving mechanical performance of Al by using Ti as reinforcement. Compos. A 38, 1010–1018 (2007) 6. Mobasherpour, I., Toﬁgh, A.A., Ebrahimi, M.: Effect of nano-size Al2O3 reinforcement on the mechanical behavior of synthesis 7075 aluminum alloy composites by mechanical alloying. Mater. Chem. Phys. 138, 535–541 (2013) 7. Toptan, F., Kerti, I., Rocha, L.A.: Reciprocal dry sliding wear behavior of B4Cp reinforced aluminium alloy matrix composites. Wear 291, 74–85 (2012) 8. Kumara, A., Patnaika, A., Bhat, I.K.: Investigation of nickel metal powder on tribological and mechanical properties of Al-7075 alloy composites for gear materials. Powder Metall. (2017). https://doi.org/10.1080/00325899.2017.1318481 9. Rao, R.N., Das, S.: Effect of matrix alloy and influence of SiC particle on the sliding wear characteristics of aluminium alloy composites. Mater. Des. 32, 1066–1071 (2011) 10. Kumar, A.B., Murugan, N., Dinaharan, I.: Dry sliding wear behavior of stir cast AA6061-T6/ AlNp composite. Trans. Nonferrous Met. Soc. China 2785–2795 (2014) 11. Prabhakar, S., Radhika, N., Raghu, N.R.: Analysis of tribological behavior of aluminium/B4C composite under dry sliding motion. Proc. Eng. 97, 994–1003 (2014) 12. Mondal, A.K., Kumar, S.: Dry sliding wear behaviour of magnesium alloy based hybrid composites in the longitudinal direction. Wear 267, 458–466 (2009) 13. Niranjan, K., Lakshminarayanan, P.R.: Dry sliding wear behavior of in situ Al–TiB2 composites. Mat. Des. 47, 167–173 (2013) 14. Mukunda, D., Prasanna, K., Kanakuppi, S., Gundenahalli, P.P., Satyappa, B.: Dry sliding wear behaviour of garnet particles reinforced zinc-aluminum alloy metal matrix composites. Mater. Sci. 12(3), 1392–1320 (2006) 15. Dinaharan, I., Murugan, N.: Dry sliding wear behavior of AA6061/ZrB2 in-situ composite. Trans. Nonferrous Met. Soc. China 22, 810–818 (2012) 16. Alidokhta, S.A., Abdollah-zadeh, A., Assadi, H.: Effect of applied load on the dry sliding wear behaviour and the subsurface deformation on hybrid metal matrix composite. Wear 305, 291–298 (2013) 17. Renukappa, N.M., Suresha, B., Devarajaiah, R.M., Shivakumar, K.N.: Dry sliding wear behaviour of organo-modiﬁed montmorillonite ﬁlled epoxy nano-composites using Taguchi’s techniques. Mater. Des. 32, 4528–4536 (2011) 18. Koksal, S., Ficici, F., Kayikci, R., Savas, O.: Experimental optimization of dry sliding wear behavior of in situ AlB2/Al composite based on Taguchi’s method. Mater. Des. 42, 124–130 (2012)

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19. Antony, C., Kumar, V., Selwin Rajadurai, J.: Influence of rutile (TiO2) content on wear and micro-hardness characteristics of aluminum-based hybrid composites synthesized by powder metallurgy. Trans. Nonferrous Met. Soc. China 26, 63–73 (2016) 20. Mirazimi, J., Abachi, P., Purazrang, K.: Micro structural characterization and dry sliding wear behavior of spark plasma sintered Cu − YSZ composites. Trans. Nonferrous Met. Soc. China 26, 1745–1754 (2016)

A Comparative Study on Mechanical and Dry Sliding Wear Behaviour of Al 7075-T6 Welded Joints Fabricated by FSW, TIG and MIG Lalta Prasad, Lalit Mohan, Himanshu Prasad Raturi and Virendra Kumar Abstract The development of the welding process has provided an alternative improved way of satisfactorily producing aluminium joints, in a faster and reliable manner. The aim of the present work is focused on the comparative study on the mechanical and dry sliding wear (tribological property) behaviour of welding joint fabricated by friction stir welding (FSW), tungsten inert gas (TIG) and metal inert gas (MIG) on 6 mm thick aluminium alloy 7075 T6. The samples were fabricated, and their testing was carried out as per the ASTM standards. The maximum tensile strength (242.3 MPa) and impact strength (12 J) and join efﬁciency (44%) were obtained for FSW joints, whereas these properties for TIG and MIG welded joints were on the lower side. The elongation at the break was found to be higher for FSW joint as compared to that of TIG and MIG joints. The minimum speciﬁc wear rate was obtained for FSW joint as compared to that of TIG and MIG joints. Microstructure results show that the smaller grain sizes were obtained in the weld centre of FSW, whereas grain growth was observed in TIG and MIG welds. FSW joints were better than TIG and MIG joints. Keywords Friction stir welding

TIG MIG Dry sliding wear

L. Prasad (&) Department of Mechanical Engineering, National Institute of Technology Uttarakhand, Srinagar(Garhwal), Uttarakhand 246174, India e-mail: [emailprotected] L. Mohan H. P. Raturi Department of Mechanical Engineering, G.B. Pant Institute of Engineering & Technology, Ghurdauri, Pauri Garhwal, Uttarakhand 246194, India V. Kumar Department of Mechanical Engineering, K.R. Mangalam University, Gurgaon 122103, Haryana, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_48

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1 Introduction Friction stir welding (FSW) is a relatively new joining process, developed at The Welding Institute (TWI) in 1991 for aluminium alloys and is presently attracting considerable interest [1–4]. Friction stir welding has been initially developed for welding aluminium alloys, but several recent studies show that it should also be successfully applied to other materials, such as particles reinforced aluminiumbased composites [5–7]. FSW is an energy efﬁcient process that requires no ﬁller material and the use of a shielding gas [8]. The process of FSW depends on various input parameters like tool rotation speed, welding speed, plunge depth, tilt angle, sideways tilt angle, shoulder geometry, shoulder scrolls and probe geometry [9]. A study on FSW was carried out with an extrusion process. In this study, the tracer experiments with steel shot in 6061-T6 and 7075-T6 alloy butt joints [10]. The tensile strength of the FSW joint on AA6061/B4C AMC was investigated by Kalaiselvan et al. [11]. They reported that the joint efﬁciency of the joint was 93.4%, and the joint was failed at heat affected zone. The fracture surface of AA6061/B4C AMC shows a network of dimples whose size is smaller compared to the matrix alloy [11]. Friction stir welding of dissimilar AA2024 and AA7075 aluminium alloys was reported by Khodir and Shibayanagi [12]. They found that the maximum tensile strength of the joint was achieved for the joint produced at a welding speed of 1.67 mm/s when 2024 Al alloy was located on the advancing side. Microstructure and failure mechanisms of reﬁll friction stir spot welded 7075-T6 aluminium alloy joints was investigated by Shen et al. [13]. They reported that the mechanical properties of the joint were affected by void and the alclad between the upper and lower sheets. In the present work, a comparative study on mechanical and dry sliding wear behaviour of Al 7075-T6 welded joints fabricated by FSW, TIG and MIG.

2 Experimental Setup Methodology Aluminium alloy 7075-T6 was used in the present work because it is strong, with a strength comparable to many steels, good fatigue strength, average machinability and lower resistance to corrosion than many other Al alloys. The mild steel rod tool was selected for friction stir welding (FSW) process. The FSW tool was prepared on the lathe. The tool used for welding was a concave shoulder (diameter 21 mm) cylindrical pin (diameter 6 mm) tool having no threads on its periphery for FSW, and pin length (length 4.5 mm) has chosen slightly smaller than the plate thickness. Many factors must be taken into consideration when a ﬁller metal is selected for a speciﬁc application. The welding wire for TIG was chosen as SFA/AWS A5.28 ER 80S. The parameters selected in the FSW process were shoulder diameter to pin diameter ratio (D/d) = 3.22, tool rotations speed = 1400 rpm, tool traverse speed = 56 mm/min. The dimensions of AA7075-T6 aluminium alloys plate was

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Fig. 1 Details of FSW process, a ﬁxture designed to transform a conventional milling machine, b welding operation during FSW

length 300 mm, width 150 mm and thickness 6 mm. Figure 1 shows the details of ﬁxture designed to transform a conventional milling machine into a friction stir welding process and welding operation during FSW process. Tensile samples are prepared along the traverse direction of joint. The test samples were prepared in the traverse direction of the joint according to the ASTM E-08. The impact tests were performed according to the ASTM E23 standard.

3 Results and Discussion 3.1

Comparison of the Tensile Strength of Weld Joints

Tensile testing of the composite laminates was carried out according to ASTM B557 M-15. The tests were conducted on a tensile testing machine (HEICO— HL-590, New Delhi, India). Each value reported was the average of three specimen tests. The extension rate was kept constant at a rate of 10 mm/min during the test. Figure 2 shows the tensile strength of the joints prepared by three processes (namely FSW, TIG and MIG). All the samples were failing from the joint section. In FSW specimens, fracture of the specimen has occurred in the HAZ region, which was the weakest region in the weld area in terms of hardness. The fracture path has followed the weakest region where it can propagate easily. In MIG and TIG welded specimens, the fracture has occurred in the weld centre. The highest joint efﬁciency in terms of ultimate tensile strength has been obtained in FSW as 44%; for TIG welding, it was 31%, and the lowest joint efﬁciency was obtained in MIG welding as 33%. It has been observed that the joint efﬁciency of FSW was higher compared to another welding process.

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Fig. 2 Comparison of the tensile strength of weld joints

Fig. 3 Comparison of average elongation (%) of weld joints

Figure 3 shows the average elongation of welded joints. The elongation in FSW specimen was higher than that of TIG and MIG joint. The reason for higher elongation in FSW was due to the high tensile strength of the joint.

3.2

Comparison of Impact Strength of Weld Joints

The notched Charpy impact testing was conducted on the impact tester according to ASTM E23 standard. The impact tester (Fine Testing Machines, Pune, India) has

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Fig. 4 Comparison of impact strength of weld joints

maximum impact energy of 300 J with the weight of pendulum 20 kg and striking velocity 5.346 m/s. Three samples of each joint were tested. The amount of impact energy absorbed by the specimen before yielding was read off on the calibrated scale attached to the machine as a measure of impact strength in joules. The FSW joint shows the highest value of impact strength as compared to that of TIG and MIG samples as shown in Fig. 4.

3.3

Comparison of Three-Body Wear Rate of Weld Joints

Abrasive tests were conducted on dry sand abrasive tester according to ASTM G 65. The dry sand abrasive tester (TR 50 Model) was supplied by Ducom instruments Pvt. Ltd., Bangalore, India. In the present study, the dry silica sand (grain size 100 µm) was used as abrasive particle. The speciﬁc wear rate (Ws) of the specimen is calculated by using Eq. (1) as given below: Ws ¼

DV Fn Ss

ð1Þ

where DV = Volume loss (mm3), Ss = Sliding distance (m), Fn = Normal load (N). It has been seen from Fig. 5 that the wear rate of samples prepared by FSW was very low as compared to that of the other samples (TIG and MIG). The possible reason for low wear rate of FSW sample was high impact strength as shown in Fig. 4.

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Fig. 5 Comparison of speciﬁc wear rate of weld joints

3.4

Comparison of Vickers Hardness Test of Weld Joints

The hardness tests were conducted according to the ISO standards. The Vickers hardness tester BV-250 (SSS Instruments, Kolhapur, India) was used to ﬁnd the hardness of the specimens. Figure 6 shows the variation of the Vickers hardness of welded joints at the various zone of the specimen. The lowest hardness was found in the HAZ region for all the samples. The Vicker hardness of the samples in various zones (e.g. nugget zone, mechanically affected zone and advancing & rereating side) were measured and these values are shown in the Fig. 6. The maximum hardness was found for joint prepared by TIG welding.

Fig. 6 Comparison of Vickers hardness of weld joints

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Fig. 7 Comparison of microstructure images of weld joint. a FSW, b TIG, c MIG process

3.5

Comparison of Microstructure Images of Weld Joints

The microstructure images of the joints are shown in Fig. 7. In microstructure analysis conducted on an optical microscope, TMAZ exhibits highly elongated grains of Al alloy in FSW due to stirring, but it does not have a recrystallized microstructure. The depth of microscopic voids in FSW is lower compared to TIG and MIG welding process. The grain size and general microstructural texture were investigated through optical microscopy of cold-mounted 7075-T6. The microstructure images of welded joints( FSW. TIG and MIG) were compared in the Fig. 7. It may be observed from the Fig. 7 that the FSW joint has more structured inclusions whereas the TIG joint has random distribution of inclusions.

4 Conclusions The experimental study was carried out on mechanical properties and wear behaviour of Al 7075-T6 welded joints fabricated by FSW, TIG and MIG. From the investigations, the following major conclusions were drawn:

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• The highest joint efﬁciency (44%) in terms of ultimate tensile strength has been obtained in FSW as compared to the TIG and MIG. • Vickers hardness value in various regions of the weld was measured, and the highest value of hardness was observed in weld nugget zone region adjacent to the advancing side in TIG joints. • The impact strength was highest for FSW joints, and wear rate was also on the lower side for the FSW joint. • In friction stir welding, the energy input and distortion are signiﬁcantly lower than in fusion welding technique, thus improve the welding properties, and the resulting joints offers less distortion, less residual stresses, fewer weld defects than another joining process like TIG and MIG.

References 1. Miles, M.P., Decker, B.J., Nelson, T.W.: Formability and strength of friction-stir-welded aluminum sheets. Metall. Mater. Trans. A 35A, 3461–3468 (2004) 2. Thomas, W.M., Nicholas, E.D, Needham, J.C., Murch, M.G., Temple-Smith, P., Dawes, C.J.: International Patent Application PCT/GB92/02203 and GB Patent Application 9125978.8, UK Patent Ofﬁce, London, 6 Dec 1991 3. Dawes, C., Thomas, W.: Friction stir joining of aluminium alloys. TWl. Bull 6, 124 (1995) 4. Ellis, M., Stangwood, M.: Properties of friction stir welded 7075 T651 aluminium. TWI. Bull. 6, 138 (1995) 5. Mishra, R.S., Ma, Z.Y.: Friction stir welding and processing. Mater. Sci. Eng., R 50, 1–78 (2005) 6. Marzoli, L.M., Strombeck, A.V., Dos Santos, J.F., Gambaro, C., Volpone, L.M.: Friction stir welding of an AA6061/Al2O3/20p reinforced alloy. Compos. Sci. Technol 66(2), 363–371 (2006) 7. Fernandez, G.J., Murr, L.E.: Characterization of tool wear and weld optimization in the friction-stir welding of cast aluminum 359 + 20% SiC metal-matrix composite. Mater. Charact. 52, 65–75 (2004) 8. Gibson, B.T., Lammlein, D.H., Prater, T.J., Longhurst, W.R., Cox, C.D., Ballun, M.C., Dharmaraj, K.J., Cook, G.E., Strauss, A.M.: Friction stir welding: process, automation, and control. J. Manuf. Processes 16(1), 56–73 (2014) 9. Threadgill, P.L.: Terminology in friction stir welding. Sci. Technol. Weld. Joining 12(4), 357–360 (2007) 10. Colligan, K.: Material flow behavior during friction welding of aluminum. Weld. J 75(7), 229–237 (1999) 11. Kalaiselvan, K., Dinaharan, I., Murugan, N.: Characterization of friction stir welded boron carbide particulate reinforced AA6061 aluminum alloy stir cast composite. Mater. Des. 55, 176–182 (2014) 12. Khodir, S.A., Shibayanagi, T.: Friction stir welding of dissimilar AA2024 and AA7075 aluminum alloys. Mater. Sci. Eng., B 148, 82–87 (2008) 13. Shen, Z., Yang, X., Zhang, Z., Cui, L., Li, T.: Microstructure and failure mechanisms of reﬁll friction stir spot welded 7075-T6 aluminum alloy joints. Mater. Des. 44, 476–486 (2013)

Overview of Cryogens Production and Automation in Cryo-distribution at TIFR, Mumbai K. V. Srinivasan, A. Manimaran, K. A. Jaison and Vijay A. Arolkar

Abstract Low temperature facility (LTF) of Tata Institute of Fundamental Research, (TIFR) Mumbai, India has been operating and maintaining helium liqueﬁers, nitrogen generators for more than ﬁve decades. LTF is one of the largest cryogenic facilities in India under the R&D Sectors. Cryogens being produced and dispensed to about 45 research laboratories within TIFR including some critical cryogen-using setups, magnetometer facility, homemade setups, various departments such as Nuclear and Atomic Physics, Chemical Sciences, Biological Sciences too use cryogens in a large quantities. In order to fulﬁll the above large cryogens demand and to maintain the supply in an uninterrupted manner, LTF implemented various automation in terms of cryogen distribution, Dewar tracking, reporting, etc. The paper will present our experience, architecture, methodology adopted, and automation implemented in the cryo-distribution at TIFR along with the proposed work. Keywords Cryogens

Dispensation Dewars Automation

1 Introduction Cryogenics (Low Temperature) facility at TIFR, Mumbai, provides the support of liquid helium, liquid nitrogen, and other cryogenic support services to the users of the institute for the past ﬁve decades.

K. V. Srinivasan (&) K. A. Jaison V. A. Arolkar Low Temperature Facility, Tata Institute of Fundamental Research, Mumbai, India e-mail: [emailprotected] A. Manimaran School of Mechanical Engineering, Veltech Dr. RR & Dr. SR Technical University, Chennai, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_49

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About Liquid Helium Plants at TIFR

In the year 1962, the facility at TIFR, Mumbai, was started with helium liqueﬁer of M/s Arthur D Little Inc., USA, with a liquefaction capacity of 3–5 liters per hour. The installation of this ADL Collins helium liqueﬁer was started on January 10, 1962, and the commissioning was formally announced on February 22, 1962. Later with model KOCH-1410 liqueﬁer was installed in the year 1976 and it was replaced by PSI-1610 helium liqueﬁer in the year 1991. The year 2012 was the golden jubilee year for the helium liquefaction and the low temperature research at TIFR, Mumbai. Currently, the facility operates and maintains the Linde make, L280 Helium Liqueﬁer, since 2008, which can liquefy to a rate 70–150 liters per hour in various combinations. The helium liqueﬁers which were in operation till 2008 and the helium liqueﬁer which is currently in operation at TIFR are shown in Fig. 1.

1.2

About Liquid Nitrogen Plants at TIFR

Similarly, liquid nitrogen production was started in the year 1968 with Philips make PLN430 liquid nitrogen plant working with air separation column. The second unit of PLN430 was added in the year 1976 to meet the growing liquid nitrogen demands. These plants were kept operational till the year 2004. During the year 1989, Sulzer make, turbine-based liquid nitrogen plant, model: LINIT-25 was installed which was kept operational till the year 2010. Presently, the Stirling make, STIRLIN-8 liquid nitrogen plant is in operation, since 2010. The liquid nitrogen produced with the Stirling Cryogenics, Netherlands, makes two units of STIRLIN-4 system which was installed in the year 2010. The cooling power of this nitrogen plant is about 8 kW at 80 K. The plant liquefaction capacity is about 110 liters per hour at an elevated pressure of 2 bar and also capable of increasing up to 4 bar, if required. The photograph of the above liquid nitrogen plants and the currently operated liquid nitrogen plant at LTF is given as Fig. 2.

Fig. 1 Helium liqueﬁers at TIFR until 2008 and the current helium liqueﬁer

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Fig. 2 Liquid nitrogen plant at TIFR past and the present

2 Cryogens Production and Dispensation 2.1

Cryogens Users at TIFR

Low Temperature Facility caters the cryogen needs to the various facilities and laboratories of the institute such as Condensed Matter Physics and Materials Science (DCMP and MS), Nuclear and Atomic Physics (DNAP), Biological Sciences (DBS), Astronomy and Astrophysics (DAA), and Chemical Sciences (DCS). The LTF facility meets the cryogen demands of more than 40 users, under various research facilities such as NMR spectrometers of 500/600/700 and 800 MHz (which is also the national facility of India), SQUID magnetometers, Physical Property Measurement systems, Vibrating Sample Magnetometer, Micro-Kelvin refrigerator, Dilution milli-Kelvin refrigerator, Adiabatic de-magnetization Milli-Kelvin refrigerator, Nano-electronics, Scanning Tunneling Spectroscopy, Point Contact Spectroscopy, Photoelectron Spectroscopy, Mossbauer along with 12 other local setups [1].

2.2

Liquid Helium and Liquid Nitrogen Production

The average annual liquid helium consumption is about 125,000 L, which is one of the largest consumption by similar research facilities in India. Presently, Low Temperature Facility provides liquid helium and liquid nitrogen and related cryogenic support services to various facilities and laboratories of the institute. LTF improved the user’s service from the uninterrupted supply of cryogens “On Demand” to “Any Time Availability” basis. LTF works round the clock in shifts and mostly in unattended operation mode. The various users of the institute consume close to 300,000 L of liquid nitrogen annually, of which the Pelletron LINAC Facility (PLF) of TIFR utilizes the majority supply of liquid nitrogen. The annual consumption of liquid helium along with the growth rate and annual liquid nitrogen consumption by the various users of TIFR including the PLF is shown in Fig. 3.

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Fig. 3 Annual liquid helium and liquid nitrogen consumption at TIFR

2.3

Liquid Helium and Liquid Nitrogen Dispensation

To cater the helium dispensation to the users, LTF operates more than 30 liquid helium dewars of various sizes and capacities. LTF manages a fleet of liquid helium dewars includes 100 L capacity lightweight aluminum alloy helium dewar (about 15 dewars), 200 L capacity aluminum alloy dewars(6 dewars), and 60 L capacity steel dewars (about 5 numbers). LTF handles about 50 liquid nitrogen dewars of various capacities ranging from 85 liters to 250 liters which are in regular service to facilitate the users within the institute. Typically, LTF dispenses more than 640 liquid nitrogen dewars every year. In addition to the above, large and bulk requirements of liquid nitrogen to the Pelletron Accelerator Facility (PLF) and for the beam hall (INGA) experiments are met from the 5000 L vertical liquid nitrogen storage vessel and through the 310 m long, dedicated vacuum-jacketed liquid nitrogen pipeline. Figure 4 shows the liquid helium dewars and the liquid nitrogen dewars maintained by LTF [2].

Fig. 4 Liquid helium and liquid nitrogen dewars

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3 Automation in Cryogens Dispensation LTF initiated automation in cryogen dispensation in the year 2004 with the implementation of online-based cryogen request form (both liquid helium and liquid nitrogen) through TIFR intranet system “TIFR Datanet”. It was strengthened further by adding online Mass Spectrometer Leak Detector (MSLD) service in 2005. The current form of online liquid helium and liquid nitrogen dispensation software was modiﬁed in 2008 using simple interactive software. For secured operation, this facility of online access is restricted only for those who have registered with TIFR Datanet. It is fully secured, and all transaction are recorded and stored in TIFR Datanet servers. The system generates email upon all transactions, i.e., both during the dewar issue and its return.

3.1

Web-Based Dispensation System–Liquid Nitrogen

The Web-based dispensation system was developed and maintained by Information Systems Development Group (ISDG) of TIFR, Mumbai [3]. For the operational convenience, the request for liquid nitrogen is made online directly by the users from the TIFR Datanet account. The navigation link for the online LTF request is provided in the home page of TIFR Datanet. The system generates the request tag which will be communicated to the users conﬁrming their successful request and an intimation to the LTF. Based on the type of request and availability, LTF allocates liquid nitrogen dewars from the list of available ﬁlled dewars to the users. The email about the dewar allocation sent to the users for tracking their allotted dewars. The various screenshots of the nitrogen dispensation software controlled and administered by the LTF as shown in Fig. 5.

Fig. 5 Screenshot of liquid nitrogen online request form and dispensation software

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Fig. 6 Web distribution flow chart for liquid helium and liquid nitrogen

3.2

Web-Based Dispensation System-Liquid Helium [3]

The basic architecture and distribution flow chart of the Web-based liquid nitrogen dispensation software explained in Fig. 6. For operational convenience and safety precaution, the helium users will directly interact with the LTF personnel for the dewar dispensation and dewar return after their usage. To assist that, a special software “Helium Request” is loaded on a PC which is devoted as “User Service Station”. After successful login to the “Helium Request” and using simple navigation screens users make a request and based on their request and dewar availability, users will have then an access to the screen showing the available dewars. User selects the required dewar from the available list of dewars, and the quantity of liquid helium issued is measured on the basis of weight. An ultra-low proﬁle (40 mm), high accuracy (50 g), wide platform (900 by 900 mm) weighing scale is used for this application. The system generates email to the users, upon successful dewar allocation. The total helium gas accounting for every dewar is carried out by the system upon every return of helium dewar, with the few and minimal data entered by the users. The various screens of the helium dewar dispensation software are shown in Fig. 7.

3.3

Reporting

The report generation is the integral part of the cryogen dispensation software and also powerful tool in analyzing and interpreting the data. The above automation invokes voluminous quantum of data in terms of enormous transactions involved in the cryo-distribution system like us. It is now possible to have a library of all dewar distribution data right from November 2004. The data is stored in the TIFR Datanet central database system. Separate navigation for Reporting and Requisition Summary is provided within the Datanet page of LTF. With this, users can view or download the all the transaction details with many options like cryogen wise, month wise, laboratory wise, room wise, dewar wise. The screenshot showing the liquid

Overview of Cryogens Production and Automation …

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Fig. 7 Screenshot of liquid helium dispensation software

Fig. 8 The screenshot of liquid helium requisition summary page and list of liquid helium dewars issued

helium requisition summary page and the list of liquid helium dewars issued to all the laboratories in the month of March 2016 is shown in Fig. 8.

3.4

Automation in Helium Gas Accounting

Boil-off helium gas from the various laboratories is being collected at LTF section. The quantity of boil-off gas is from each laboratory is monitored using a gas flow

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Fig. 9 Helium gas recovery network at TIFR

integrator and also at an intermediate cluster level at ﬁve locations before monitored ﬁnally at LTF end. The schematic of the helium gas recovery network at TIFR is mentioned in Fig. 9. There are about 45 flow meters which need to be monitored and analyzed the quantity of gas collection for the reporting purpose. These activities are currently being done manually and proposed to be automated using a custom-made software. Based on the manual entry of flowmeter reading, this software will show the online gas accounting, develop plots and graphs, trend showing the gas collection gas loss, percentage, etc.

3.5

Web-Based Reporting System for Helium Gas Management

LTF uses Elster made, diaphragm type, gas flow meters and few of the meters ﬁtted with a retro-ﬁttable low-frequency (LF) pulser [4]. These pulse transmitter works on the principle that a pulse magnet in the ﬁrst moving drum of the index meters activates a reed switch in the pulse transmitter. These low-frequency pulse generator generates output as a digital pulse for every rotation of the meter, which directly corresponds to the gas quantity. Figure 10 shows the cross-sectional view of the diaphragm gas meter ﬁtted with LF pulser along with the technical data of the LF pulser including the wiring diagram. Currently, the work is focused toward the transporting the digital pulse to a remote monitoring PC by Ethernet-based or by GSM-based modem.

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Fig. 10 Helium gas flow meter with LF pulser along with its wiring diagram

4 Summary With the effective implementation, custom-made automation software and reporting system are now possible to manage such a network of research facilities and laboratories in a much more effective manner. This also provides maximum flexibility to the users in terms of simple and effective user-friendly software and allows the effective control on dewars. With the current experience, a similar software can be established for any cryogenic facility for its effective operation and control. Acknowledgements The author expresses sincere thanks to Dr. Nihita Goel, Head Information Systems Development Group (ISDG—TIFR, Mumbai), Ms. Sushma Patel (ISDG, TIFR, Mumbai), Ms. Sarita Rane (ISDG, TIFR, Mumbai) and the staff at LTF of TIFR, for their support and cooperation.

References 1. Srinivasan, K.V.: Operation of cryogenic facility in e-way at Tata Institute of Fundamental Research, Mumbai, India. J. Phys.: Conf. Ser. 400, 052008 (2012). http://iopscience.iop.org/ 1742-6596/400/5/052008/ 2. Srinivasan, K.V., et al.: Liquid nitrogen distribution for Pelletron Linac Facility, Mumbai. J. Cryog. IJC 39 (2014). http://dx.doi.org/10.5958/2349-2120.2014.00808.5 3. Goel, N.: Automation of cryo-distribution and tracking system implemented at TIFR. Orla presentation at DAE-BRNS Workshop on Cryogenic Facility Management, TIFR, Mumbai, 9 Jan 2014 4. Data Sheet of ElsterI retro-ﬁttable Low Frequency (LF) pulser for Elster-Instromet diaphragm gas meters. https://docuthek.kromschroeder.com/documents/download.php?lang=de&doc= 37899

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5. Frederick, L., Labbe, G., Ihas, G.G.: Tracking Liquid Helium Production, Distribution, and Consumption by Networked Computer. Center for UltraLow Temperature Research and Department of Physics, University of Florida, Gainesvile, FL 32611 USA (2000) 6. Srinivasan, K.V.: Cryogens production and distribution at TIFR, Mumbai, INDIA. In: Poster at 26th International Conference on Low Temperature Physics LT26, Beijing, China (2011) 7. Srinivasan, K.V.: Oral presentation. Overview of cryogens production and automation in cryo-distribution at TIFR, Mumbai. In: National Conference on Advances in refrigeration and Cryogenics—NCARC-2016 held in MGM’s College of Engineering and Technology, Navi Mumbai on 11th June 2016 8. Panda, U.: Control system of cryogenic plant for superconducting cyclotron at VECC, VECC, Kolkatta. In: India Proceedings of Cyclotrons, Lanzhou, China MOPCP008 (2010) 9. Frederick, L., Labbe, G., et al.: Tracking Liquid Helium Production, Distribution, and Consumption by Networked Computer. Center for Ultra Low Temperature Research and Department of Physics, University of Florida, Gainesvile, FL 32611 USA. http://dx.doi.org/ 10.1016/S0921-4526(99)02817-3 10. Siemens. Modular PLC controllers SIMATIC S7. http://www.automation.siemens.com/ mcms/programmable-logic-controller/en/simatic-s7-controller/ 11. Panda, U., et al.: Process control migration of 50 LPH helium liqueﬁer. In: IOP Conference Series: Materials Science and Engineering, vol. 171. http://iopscience.iop.org/article/10.1088/ 1757-899X/171/1/012005/pdf

Analysis of Recast Layer, Wear Rate and Taper Angle in Micro-electrical Discharge Machining Over Ti–6Al–4V S. Rajamanickam and J. Prasanna

Abstract In this paper, micro-electrical discharge machining of thin titanium alloy foil sheet (Ti–6Al–4V) is performed using 100-µm tungsten rod to study the output parameters such as recast layer thickness at entry and exit surfaces, material removal rate, linear wear rate and taper angle. The electrical input parameters considered in this research work are, namely, pulse on-time, current, pulse off-time and voltage. Further, SEM analysis reported is highly useful in calculating the output parameters originality for all input parameters combinations and additional value to the experimental observations. Grey relational analysis is employed to ﬁnd the optimum machining parameter among the various combinations of electrical input parameters in micro-electrical discharge machining. The smaller hole is highly useful in fabrication of micro-products. Keywords Ti–6Al–4V

Electric discharge machining Regression analysis

1 Introduction Micro-machining is also called micro-processing used to build µ-holes or µ-parts or µ-structures. It can be created by EDM, LBM, ECM and USM. The EDM is best suited for creating micro-holes in hard materials and even suited for nano-machining [1]. Ti–6Al–4V is one of the hard materials come under the categories of difﬁcult for machine materials [2]. It can be easily machined by electric discharge machining [3]. In EDM, the workpiece materials are machined by standard sparking methods [4]. At present, Ti–6Al–4V is broadly used in aerospace, S. Rajamanickam (&) Department of Mechanical Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, India e-mail: [emailprotected] S. Rajamanickam J. Prasanna College of Engineering, Guindy, Chennai, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_50

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mould and dye-making industries, automotive, biomedical and other main industries because of their unique properties [5, 6]. Pure tungsten electrode of 200- and 300-µm electrode is employed in electrical discharge machining of tungsten carbide of Grade MG18 having 100-µm thickness [7]. The micro-holes and micro-slots were performed in conventional CNC EDM machine using tungsten carbide tool of 50-µm diameter and 100-µm-square cross sections in copper plate of thickness 0.1 mm [8]. The authors successfully used grey relational analysis optimizations method for electric discharge machining of EN-24 alloy steel [9]. The authors performed Taguchi grey relational analysis optimizations method to improve wire-cut electrical discharge machining process parameter while machining Inconel 825 with considerations of multi-response parameters [10]. Grey relational analysis optimization technique is exercised to improve multi-response characteristics in drilling process [11]. Grey relational analysis and fuzzy-based Taguchi method multi-objective optimization of electrical discharge machining of SKD 11 alloy steel are performed using pure copper electrode of diameter 8 mm in KT-200 experimental machine [12]. The Al-10% SiCp composites are drilled in electrical discharge machining process using a brass electrode of diameter 2.7 mm. The process is optimized with high quality at low cost by adopting grey relational analysis methods [13]. The diameter 200–500 µm holes found more useful in the following applications, namely printed circuit boards, fuel injection nozzle, high pressure oriﬁces, pneumatic sensors and manipulators, guides for wire bonders and spinning nozzles [8]. In this work, investigations of micro-electrical discharge machining of Ti–6Al– 4V using pure tungsten electrode of 100 µm are conducted to obtain micro-holes with higher material removal rate and lower recast layer thickness, wear rate and taper angle. The analysis is performed for different combinations of electrical parameters and their levels as mentioned in Table 1.

2 Experimentation 2.1

Experimental Set-up

The workpiece material used in this study was 0.1-mm-thin foil sheet of Ti–6Al– 4V. The electrode material used in this study was a commercially available pure

Table 1 Different input parameters with their levels

Factors ‘symbol’ (units)

Levels Level 1

Level 2

Level 3

Level 4

On-time ‘Ton’ (µs) Current ‘I’ (A) Off-time ‘Toff ’ (µs) Voltage ‘V’ (µs)

5 0.5 5 35

10 1 10 40

15 1.5 15 45

20 2 20 50

Analysis of Recast Layer, Wear Rate and Taper …

519

Fig. 1 Working zone of EDM

tungsten rod of 100-µm diameter. The dielectric fluid used was commercial EDM oil with high dielectric properties and flash point. The sparking machine model “SRP EDM-DIGISOFT 40” is employed in the research work. The working zone of EDM is shown in Fig. 1.

2.2

Experimental Procedure

The negative polarity of machining is employed for all combinations of input settings. In this study, through hole was drilled in Ti–6Al–4V thin foil sheet of 100 µm. After drilling through holes in a workpiece, it is cleaned manually using piece of cloths. The time taken for making through hole was noted, and linear wear is also observed. Now, the workpiece is taken for SEM micro-analysis for getting image of the machined hole at both entrance and exit surfaces to ﬁnd output parameters such as recast layer, material removal rate and taper angle. The experimental plan and calculated values of output parameters are found in this research work as given in Table 2.

2.3

Measurement

By using ImageJ software, the recast layer thickness at entry and exit surfaces taken at eight different positions and average is taken for analysis. The wear rate and taper angle are calculated using the formulae hinted in Eq. 1–3.

On-time

5 10 15 20 15 15 15 15 15 15 15 15 15

Run

1 2 3 4 5 6 7 8 9 10 11 12 13

0.5 0.5 0.5 0.5 1 1.5 2 0.5 0.5 0.5 0.5 0.5 0.5

Current

15 15 15 15 15 15 15 10 5 20 15 15 15

Off-time 40 40 40 40 40 40 40 40 40 40 45 35 50

Voltage

Table 2 Experimental plan and output parameter values

18.4250 20.8250 29.0125 20.6500 21.7625 24.8375 20.0625 07.0875 18.3250 19.7875 19.5250 19.2666 20.1500

12.6750 18.9875 17.6750 12.7250 15.9500 20.3875 13.8875 07.4125 16.6000 12.5250 14.1875 14.6000 21.4250

Recast layer Entry Exit 0.42372 3.33333 27.7777 0.45248 18.5185 23.3644 33.3333 5.76923 88.8888 78.4313 65.2173 01.7543 34.3137

Linear wear rate 0.01232 0.02359 0.13079 0.02167 0.03426 0.03821 0.01996 0.01795 0.08019 0.01642 0.01895 0.04528 0.03232

Material removal rate

14.7618 11.6401 22.9283 26.6909 18.2499 11.4613 14.2652 20.1405 13.6987 17.9263 8.30649 19.2006 17.2365

Taper angle

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Analysis of Recast Layer, Wear Rate and Taper …

LWR ¼

LW t

pH ðD2 þ d 2 þ Dd Þ 12t ðDd Þ TA ¼ tan 2H

MRR ¼

521

ð1Þ ð2Þ ð3Þ

where LWR indicates linear wear rate of the electrode measured in mm/min, MRR is material removal rate measured in mm3/min, TA is taper angle measured in degree, D and d is the diameter of the machined hole at entrance surface and exit surface, t is machining time, and H is the thickness of workpiece materials.

3 Optimization Using Grey Relational Analysis In 1982, Deng developed the grey relational analysis techniques for determining appropriate solutions for the real-world problems. The steps involved in the grey relational analysis are:

3.1

Step 1: Grey Relational Normalization

The material removal rate of output parameter is normalized using Eq. 4. It is used for Higher is the Better characteristics. xij ¼

yij minij yij maxij yij minij yij

ð4Þ

The recast layer at entry and exit surfaces, linear wear rate and taper angle is normalized using Eq. 5, where i = 1–13 and j = 1–5. It is used for Lower is the Better characteristics. xij ¼

3.2

maxij yij yij maxij yij minij yij

ð5Þ

Step 2: Grey Relational Coefﬁcient

The grey relational coefﬁcient can be found after knowing the required characteristics by employing Eq. 6.

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nij ¼

Dmin kDmax Dxij kDmax

ð6Þ

Distinguishing coefﬁcient (k) is normally in between 0 and 1. Wehave taken as k = 0.5. Where Dmin ¼ 0; Dmax ¼ 1; and Dxij ¼ maximum xij xij :

3.3

Step 3: Grey Relational Grade

Finally, the grey relational grade is arrived by taking an average of grey relational coefﬁcient using Eq. 7. It is ranked in order to know the optimum input parameter combinations among the available. The results of grey relational normalization, grey coefﬁcient values are presented in Table 3. ci ¼

n 1X n ; n j¼1 ij

where; n is number of output parameter

ð7Þ

4 Results and Discussions The grey relation grade and rank for the particular run are calculated. The maximum grey relational grade is coined in run number 8. It is declared as the optimum setting. The corresponding input setting shows on-time 15 µs, current 0.5 A, off-time 10 µs and voltage 40 V. The run versus grey relational grade is plotted in Fig. 2. The SEM image of micro-holes of the machined surface at entrance and exit for the optimum input setting is expressed in Fig. 3a, b. Particularly in this setting, the recast layer at both entrance and exit surfaces is very low compared to all other input combinations for making through holes in Ti–6Al–4V of thickness 100 µm. It is also keenly explored that the machined holes fail to produce the circular shape. Figure 3c, d indicates the machined surface SEM images at entrance and exit surfaces for the least optimum input setting. In this setting, it is recorded a noticeable amount of recast layer compared to all other combinations of input parameters.

1.0000 0.9671 0.6908 0.9997 0.7955 0.7407 0.6280 0.9396 0.0000 0.1182 0.2676 0.9850 0.6169

0.4830 0.3735 0.0001 0.3815 0.3307 0.1905 0.4083 1.0000 0.4875 0.4208 0.4328 0.4446 0.4043

1 2 3 4 5 6 7 8 9 10 11 12 13

0.6244 0.1740 0.2676 0.6209 0.3907 0.0740 0.5379 1.0000 0.3443 0.6351 0.5165 0.4871 0.0000

Grey relational normalization Recast layer Linear wear rate Entry Exit

Run

0.0000 0.0952 1.0000 0.0789 0.1852 0.2186 0.0645 0.0475 0.5729 0.0346 0.0560 0.2782 0.1688

Material removal rate

Table 3 Results of grey relational normalization, coefﬁcient values

0.6489 0.8187 0.2047 0.0000 0.4591 0.8284 0.6759 0.3563 0.7067 0.4767 1.0000 0.4074 0.5143

Taper angle 0.4916 0.4439 0.3334 0.4470 0.4276 0.3818 0.4580 1.0000 0.4938 0.4633 0.4685 0.4737 0.4563

0.5711 0.3771 0.4057 0.5687 0.4507 0.3506 0.5197 1.0000 0.4327 0.5781 0.5084 0.4936 0.3333

1.0000 0.9383 0.6179 0.9994 0.7097 0.6585 0.5734 0.8922 0.3333 0.3618 0.4057 0.9708 0.5662

Grey relational coefﬁcient Recast layer Linear wear rate Entry Exit 0.3333 0.3559 1.0000 0.3518 0.3803 0.3902 0.3483 0.3442 0.5393 0.3412 0.3463 0.4092 0.3756

Material removal rate

0.5875 0.7339 0.3860 0.3333 0.4804 0.7445 0.6067 0.4372 0.6303 0.4886 1.0000 0.4576 0.5072

Taper angle

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Fig. 2 Run versus grey relational grade

Fig. 3 Machined hole at entrance and exit surfaces for best and worst settings

5 Conclusion Analysis of micro-holes drilling in EDM of Ti–6Al–4V to obtain the better output parameters using 100-µm-pure tungsten electrodes has been conducted with various combinations of electrical parameters. Based on the experimental investigations, the following conclusions are drawn: • The optimum input setting for higher material removal rate and lower recast layer thickness, wear rate and taper angle was found using grey relational analysis. The optimum input parameters obtained have on-time 15 µs, current 0.5 A, off-time 10 µs and voltage 40 V. • The run number 8 gives the minimum values of recast layer thickness at both entrance and exit surfaces. The lowest linear wear rate is declared for the run number 1. The very low taper angle is presented at the run number 11. The highest value of material removal rate is calculated for the run number 3. Acknowledgements The authors wish to thank the persons from College of Engineering, Anna University, Chennai, Tamil Nadu, India, for their contribution and Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, Tamil Nadu, India, for their support and strong motivation.

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References 1. Egashira, K., Morita, Y., Hattori, Y.: Electrical discharge machining of submicron holes using ultrasmall-diameter electrodes. Precis. Eng. 34, 139–144 (2010) 2. Fonda, P., Wang, Z., Yamazaki, K., Akutsu, Y.: A fundamental study on Ti–6Al–4V’s thermal and electrical properties and their relation to EDM productivity. J. Mater. Process. Technol. 202, 583–589 (2008) 3. Ho, K.H., Newman, S.T.: State of the art electrical discharge machining (EDM). Int. J. Mach. Tools Manuf. 43, 1287–1300 (2003) 4. Marafona, J., Chousal, J.A.G.: A ﬁnite element model of EDM based on the Joule effect. Int. J. Mach. Tools Manuf. 46, 595–602 (2006) 5. Kibria, G., Sarkar, B.R., Pradhan, B.B., Bhattacharyya, B.: Comparative study of different dielectrics for micro-EDM performance during microhole machining of Ti–6Al–4V alloy. Int. J. Adv. Manuf. Technol. 48, 557–570 (2010) 6. Shabgard, M., Khosrozadeh, B.: Investigation of carbon nanotube added dielectric on the surface characteristics and machining performance of Ti–6Al–4V alloy in EDM. J. Manuf. Processes 25, 212–219 (2017) 7. Jahan, M.P., Wong, Y.S., Rahman, M.: A study on the quality micro-hole machining of tungsten carbide by micro-EDM process using transistor and RC-type pulse generator. J. Mater. Process. Technol. 209, 1706–1716 (2009) 8. Masuzawa, T.: State of the art of micromachining. Ann. ClRP 49, 473–488 (2000) 9. Mishra, B.P., Routara, B.C.: An experimental investigation and optimisation of performance characteristics in EDM of EN-24 alloy steel using Taguchi Method and Grey Relational Analysis. Mater. Today: Proc. 4, 7438–7447 (2017) 10. Rajyalakshmi, G., Venkata Ramaiah, P.: Multiple process parameter optimization of wire electrical discharge machining on Inconel 825 using Taguchi grey relational analysis. Int. J. Adv. Manuf. Technol. 1–14 (2013) 11. Tosun, N.: Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. Int. J. Adv. Manuf. Technol. 28, 450–455 (2006) 12. Lin, C.L., Lin, J.L., Ko, T.C.: Optimisation of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. Int. J. Adv. Manuf. Technol. 19, 271– 277 (2002) 13. Narender Singh, P., Raghukandan, K., Pai, B.C.: Optimization by grey relational analysis of EDM parameters on machining Al–10%SiCP composites. J. Mater. Process. Technol. 155– 156, 1658–1661 (2004)

Evaluation of Critical Speed for Aluminum–Boron Carbide Metal Matrix Composite Shaft Arun C. Dixit , B. K. Sridhara and M. V. Achutha

Abstract This work deals with ﬁnding an alternative lightweight material over conventional materials for manufacturing drive shafts. Drive shafts are a key component for transmitting power from one end to the other. However, the conventional materials used for producing drive shafts pose several disadvantages especially concerning with their weight. Conventional drive shafts are susceptible to large vibration during high-speed traversing because of truncated strength-toweight ratio. The work aims at improving the critical speed of the specimen by proposing a new composite material made of aluminum matrix reinforced with boron carbide (B4C) particles. Specimens with weight percentage 0, 3, 6, 9, 12% of reinforcement were manufactured through stir casting technique. The work has established a new lightweight material with enhanced critical speed which can be used for various high-speed applications. Other important mechanical properties like hardness and tensile strength were also analyzed. Modal analysis was carried on the specimens using ANSYS 15 Workbench.

Keywords Drive shaft Critical speed Boron carbide Aluminum LM6

Strength-to-weight ratio

A. C. Dixit (&) Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysore, India e-mail: [emailprotected] B. K. Sridhara M. V. Achutha Department of Mechanical Engineering, National Institute of Engineering, Mysore, India © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_51

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1 Introduction 1.1

Drive Shafts

A drive shaft is a mechanical component for transmitting torque and rotation, usually used to connect other components of a drive train that cannot be connected directly because of distance or the need to allow for relative movement between them [1]. As torque carriers, drive shafts are subject to torsion and shear stress, equivalent to the difference between the input torque and the load [2]. They must therefore be strong enough to bear the stress, while avoiding too much additional weight as that would in turn increase their inertia. Steel and aluminum are the two most commonly used materials for manufacturing drive shafts [3]. However, steel shafts are too heavy thus truncating the performance, and aluminum does not possess the strength of the steel. The new trend is the use of composite materials as they possess high strength-to-weight ratio [4].

1.2

Critical Speed

All rotating shafts, even in the absence of external load, will deflect during rotation. The unbalanced mass of the rotating object causes deflection that will create resonant vibration at certain speeds, known as the critical speeds. This phenomenon or condition will become more apparent at higher rotational velocities. However, there is a point or rotational velocity where the vibrations and amplitude increase signiﬁcantly. The rotational velocity at which the vibration increases dramatically is called the critical speed of the rotating mass. Typically, the designed operating speed of a machine is less than the critical speed. This is done to prevent a machine from ever achieving the undesired critical speed vibration and possible resulting failure.

1.3

Metal Matrix Composites

Metal matrix composites (MMCs) are the ones in which metals are used as the base of the composition for a composite material, for example, titanium, aluminum, and iron. The work aims at developing a metal matrix composite [particulate composite] by combining a lightweight metal with hard particles. Various weight percentages of the reinforcement are chosen based on the literature review, and the best weight percentage reinforcement is proposed based on the results obtained (Table 1).

Evaluation of Critical Speed for Aluminum–Boron Carbide … Table 1 Details of the specimens manufactured

529

Specimen name

Base alloy

wt% of B4C

A0 A1 A2 A3 A4

Al Al Al Al Al

0 3 6 9 12

LM6 LM6 LM6 LM6 LM6

2 Materials and Experimental Procedure 2.1

Aluminum LM6

LM6 is a corrosion-resistant aluminum casting alloy with average durability and strength, with high impact strength and ductility which possess excellent casting properties. Wrought alloys are heat-treated post casting which possess superior properties when compared to casted alloys. Out of the two available forms of aluminum, the work aims at improving the properties of casted aluminum since the forged aluminum already offers superior properties. Out of the series [LM2–LM24], LM6 exhibits lesser strength when compared to other alloys and hence a suitable choice for reinforcing.

2.2

Boron Carbide

Boron carbide (B4C) is a crystalline compound of boron and carbon [5]. It is an extremely hard, synthetically produced material that is used in abrasive and wear-resistant products. It is odorless, insoluble in water, and has a melting point of 2763 °C and density of 2.52 g/cm3 which is less compared to density of aluminum (2.79 g/cm3) [6, 7]. Boron carbide ceramic particles are one of the hardest materials second only to diamond. The addition of boron carbide into any other matrix boosts the properties of the composites thus developed. The B4C reinforced aluminum metal matrix composites exhibits best properties at 8% weight reinforcement [8]. Thus, to strike a balance, 2 percentage compositions above and below 8% is selected.

3 Results and Discussions 3.1

Tensile Test Results

From Table 2, it is noted that there is an increase in the values of ultimate tensile strength of the composites when compared to the base alloy. However, this increase

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Table 2 Tensile test results wt% of B4C

Peak load (N)

Tensile strength (N/mm2)

Young’s modulus (103 N/mm2)

0 3 6 9 12

12695.00 13137.1 13330.6 11084.36 10704.8

102.953 108.434 109.326 92.986 90.828

70.081 73.73 74.34 63.22 61.763

Fig. 1 Tensile strength versus wt%

Fig. 2 Young’s modulus versus wt%

is not persistent. The value of tensile strength of the composites showed growth for 3% and then peaked at 6% reinforcement. With further increase in percentage reinforcement, the tensile strength started to truncate, even falling below the base alloy. The behavior of tensile strength and yield strength wrt percentage reinforcement can be clearly realized from Figs. 1 and 2.

Evaluation of Critical Speed for Aluminum–Boron Carbide … Table 3 Hardness test results

3.2

531

wt% of B4C

Vickers hardness

Brinell hardness

0 3 6 9 12

70 82 100 125 132

53 64 83 110 116

Hardness Test

From Table 3, it is evident that with every 3% increase in the weight percentage of boron carbide particles, there is an increase in the hardness value. This behavior is due to the fact that ceramic particles like boron carbide being hard materials increase the hardness when added to a matrix.

3.3

Critical Speed Results

Numerical values were found by modal analysis in ANSYS 15 Workbench (Fig. 3). Analytical values are the ones based on the formulae. qﬃﬃﬃﬃﬃﬃﬃ • a = Model frequency for each shaft = EI M where E is Young’s modulus, I is moment of inertia, and M is mass per length of shaft. • x, Angular speed = 22a L2 where L is length of the shaft. • NC is critical speed = 60x 2p

Fig. 3 Natural frequency of ﬁrst mode of vibration of A6 specimen

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Table 4 Consolidated results of critical speed tests Specimen name

Weight %

Mass (g)

Numerical values (RPM)

Theoretical values (RPM)

Experimental values (RPM)

Mild steel A0 A3 A6 A9 A12

– 0 3 6 9 12

107.6 35.4 35.1 34.6 34.3 33.9

6650.2 6777 6960.6 6994.8 6455.4 6384.6

6706.83 6667.62 6846.52 6880.22 6349.44 6283.97

6383 5762 6531 6759 6361 5530

Experimental values were determined by test specimen which was gripped rigidly at both ends (ﬁxed–ﬁxed type) and rotated in standard apparatus where the speed was slowly increased until the composite started to whirl (a loop is formed). The ﬁrst sign of appearance of the loop is the indication to stop further increasing the rotational speed of the shafts (Table 4). The pure matrix alloy exhibited a critical speed of 5762 rpm. As boron carbide is used to reinforce the matrix (97% Al + 3% B4C), the critical speed increased to 6531 rpm. On further increase in percentage of boron carbide (94% Al + 6% B4C), the critical speed escalated to 6759 rpm. After this point, addition of boron carbide (3% increment) at each trial came at the cost of reduction in critical speed of the composite. When the speed of each specimen reached its critical point, appearance of deflection was evident. This deflection caused the composite to showcase a loop. The matrix alloy displayed deflection prior to all other composites, owing to its low strength. A mild steel specimen of same dimensions as that of the developed composites was taken and tested for its critical speed just to obtain the effectiveness of the newly conceptualized shafts. The steel specimen weighed a hefty 107.6 g in comparison to the composites which weighed a maximum of 35.8 g. Furthermore, the steel shaft was only able to handle a speed of 6383 rpm which is remarkably lesser than that of the A6 specimen, which could handle speeds up to 6759 rpm. The main objective of reducing the weight of a drive shaft is thus achieved.

4 Scanning Electron Microscopy (SEM) Figure 4 shows the SEM of aluminum LM6 alloy. The bright matrix is clearly visible with no reinforcements, and also there are no signs of voids in the casted product. Figure 5 shows SEM of 6% B4C reinforced aluminum metal matrix composite at 1000 lm magniﬁcation in which the granules of boron carbide particles are clearly visible. From this, it can be concluded that the particles of B4C were uniformly

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Fig. 4 SEM of aluminum LM6 base alloy

Fig. 5 SEM of 6% B4C reinforced composite

mixed with the aluminum matrix during the stir casting process. The image is darker when compared to the base alloy image which shows the uniform distribution of B4C particles. Furthermore, the image depicts no voids in the casting.

5 Conclusion 1. Tensile strength increased from 0 to 6% and started to decline through 9–12% 2. Hardness of the specimen showed consistent growth with the increase in percentage reinforcement 3. Mass of the composites decreased with the increase in percentage reinforcement

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4. Maximum speed was observed on the specimen with 6% reinforcement (6759 rpm) which bettered mild steel (6383 rpm). This shows an increase in critical speed by 6%. Also, with respect to base alloy, there was an increase by 17%. 5. The aluminum boron carbide composites weigh of 34.6 g while a steel shaft of same dimensions weighs 107.6 g (68% reduction in weight). In comparison base alloy weighs 35.4 g (3% reduction in weight). The newly contrived composite weighs only a fraction of the traditional metals used in drive shafts while flaunting signiﬁcant increase in critical speed and strength. This allows the top speed to be increased far beyond the safe operating speeds of a standard aluminum or steel driveshaft. The main failure mode of the shaft is fatigue. The durability/fatigue studies of the proposed composite need to be analyzed in order to propose their application.

References 1. Suryawanshi, B.K., Damle, P.G.: Review of design of hybrid aluminum/composite drive shaft for automobile. Int. J. Innov. Technol. Explor. Eng. 2 (2013) 2. Parshuram, D., Mangsetty, S.: Design and analysis of composite/hybrid drive shaft for automotives. In: Int. J. Eng. Sci. 2 (2013) 3. Sino, R., Baranger, T.N., Chatelet, E., Jacquet, G.: Dynamic analysis of a rotating composite shaft. Compos. Sci. Technol. (2009) 4. Gomez, L.: Analysis of boron carbide aluminum matrix composites. J. Compos. Mater. 43 (2009) 5. Nie, C.-Z., Gu, J.-J., Liu, J.-L., Zhang, D.: Production of boron carbide reinforced 2024 aluminum matrix composites by mechanical alloying. Mater. Trans. 48 (2007) 6. Pyzik, A.J.: Processing of boron carbide-aluminum composites. J. Am. Ceram. Soc. 72 (1989) 7. Thirumalai, T.: Production and characterization of hybrid aluminum matrix composites reinforced with boron carbide (B4C) and graphite. J. Sci. Ind. Res. 73 (2014) 8. Rama Rao, S., Padmanabhan, G.: Fabrication and mechanical properties of aluminum–boron carbide composites. Int. J. Mater. Biomater. Appl. ISSN 2249–9679 (2012) 9. Ibrahim, M.F., Ammar, H.R., Samuel, A.M., Soliman, M.S.: Metallurgical parameters controlling matrix/B4C particulate interaction in Aluminum–Boron carbide metal matrix composites. Int. J. Cast Metals Res. 26 (2013) 10. Gopal Krishna, U.B., Sreenivas Rao, K.V., Vasudeva, B.: Effect of particulate size on the tensile property of boron carbide reinforced aluminum matrix composites. In: International Conference on Challenges and Opportunities in Mechanical Engineering (2012)

Smart System for Feature Recognition of Sheet Metal Parts: A Review Sachin Salunkhe, Soham Teraiya, H. M. A. Hussein and Shailendra Kumar

Abstract Sheet metal is one of the most frequently used primary manufacturing methods to produce different variety (shape and size) of components. The production of these sheet metal parts with a product (design) features is a major task in the sheet metal industries. Feature recognition is a primary activity for design of dies. Usually, this task is performed by experienced process planner in industries. The present review gives an overview of computer-aided smart system for feature recognition of sheet metal parts. The proposed system is capable to extract/ recognize all design features of sheet metal parts automatically from 3D CAD model. The system has been implemented in AutoCAD using AutoLISP programming language. Keywords Sheet metal

Die design Feature recognition Stamping industries

S. Salunkhe (&) Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Avadi, Chennai, India e-mail: [emailprotected] S. Teraiya Department of Mechanical Engineering, Dr. S. & S. S. Ghandhy College of Engineering and Technology, Surat, India e-mail: [emailprotected] H. M. A. Hussein Department of Mechanical Engineering, Faculty of Engineering, Helwan University, Cairo, Egypt e-mail: [emailprotected] S. Kumar Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology, Ichchhanath, Surat, India e-mail: [emailprotected] © Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6_52

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1 Introduction Sheet metals are playing an important role in our day-to-day life. It is broadly used in automotive sector, aviation industry, medical tables and equipments, building constructions, etc. Stamping industries demand that sheet metal parts should be produced to accurate shape or near accurate shape with following functional characteristics [1]: (1) adequate dimensional accuracy, (2) surface ﬁnish, (3) adequate structural integrity and (4) reduction in material wastage. In stamping industries, die design is an important activity according to product features. Feature recognition is a primary activity of die design in sheet metal industries. Product features such as shape and size of parts and design information are used in reasoning for manufacture of part [2]. The feature mainly includes two types of information. The ﬁrst is engineering information which includes design and manufacturing process, for example, diameter and depth of hole. The second is geometric information which describes the shape and topology of the features. Some of the typical design features of sheet metal parts are shown in Fig. 1. Present scenario in sheet metal industry needs to complete automation from design stage (feature recognition) to manufacturing ﬁnal product. Commercial CAD systems available for automation in sheet metal industries, but the cost of such software is very high that cannot be affordable by small-scale stamping industries. After studying these CAD systems, it has been found that these can perform only simple calculations and drafting, and not capable to automatically recognize type and size of an object. To overcome the above problems, there is stern need to developing a smart system for automatic feature recognition of sheet metal parts. Feature recognition is the process of extraction of design information from the CAD

Fig. 1 Sheet metal design features by Wierda [3]

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model and identifying the features to be manufactured on a product without human intervention. The feature recognition process involves recognizing higher level features, for example, a hole, from the lower level geometrical entities represented within the part, for example, straight lines or circular curves. Feature recognition is typically thought as a process that is performed on a geometric model of a ﬁnished part. Constructive solid geometry (CSG) and boundary representation (B-rep) [4] are the methods for feature recognition.

2 Literature Review Automatic feature recognition has been an active research area for more than last two decades. The revaluation being started of feature recognition in the late 1980s. Several researchers from worldwide have successfully attempted on feature recognition of sheet metal parts such as Cser et al. [5] proposed case-based learning and feature recognition system for manufacturing sheet metal products. Nnaji et al. [6] developed feature extraction, recognition and reasoning of sheet metal parts which created in CAD model. IGES ﬁle type is used for automatic feature extraction. Meeran and Pratt [7] developed automatic feature recognition for simple prismatic part. The input parameter of feature recognition is 2D drawing of prismatic part in a DXF format. The coding is written in PROLOG language. Lentz and Sowerby [8] proposed feature recognition system for concave and convex regions of a sheet metal component. The B-rep model has been used for extraction of features. Streppel et al. [9] developed feature extraction module for sheet metal bending lines or flat pattern parts. STEP or neutral ﬁle format of CAD is used for exchange product model. Mantripragada et al. [10] proposed feature-based technique for box-type sheet metal parts. Computer-aided engineering (CAE) system is used to design box-type sheet metal parts. Jagirdar et al. [11] proposed feature recognition method for shearing operations for 2D sheet metal components created by a wireframe model. ‘C’ language is used as a programming language, and geometric data are obtained from AutoCAD DXF output ﬁle. Ceglarek [12] developed multivariate analysis and evaluation of adaptive sheet metal assembly systems. The system is capable to measure part information. Gao et al. [13] developed system for extract design features of a part from 3D CAD model. A feature library is developed for feature detection and stored in a plain ASCII ﬁle format. Xie et al. [14] presented an integration of CAD/CAPP/CAM for compound sheet metal cutting and punching. Object-oriented method and STEP ﬁle are used for feature automatic recognition of parts. Wang et al. [15] developed smart technique for assess geometrical information on wrinkling on deep-drawn forming parts. Lutters et al. [16] proposed feature recognition system to identify sheet metal features. Rigopoulos and Arkun [17] developed a new online assess technique to assess proﬁle of sheet metal-forming process. Ge et al. [18] developed smart system for automatic online monitoring of sheet metal parts. The developed system is capable

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to identify the behaviour of high-frequency vibration during pressing operation. Shunmugam and Kannan [19] proposed the design features automatically from the orthographic projections and generate 3D wireframe model. Attributed adjacency graph method is used to generate 3D wireframe model flat pattern of sheet metal. Holland et al. [20] described CAD system for selection of metal-forming process and feature recognition. STEP AP203 ﬁle format is used for feature recognition. C+ + programming language is used for search STEP text ﬁle. Pal et al. [21] introduced a concept of genetic algorithm for feature recognition from large CAD database. The proposed system has mainly been developed for meeting the growing complexity of product across all manufacturing domain. Zhao and Shah [22] developed feature recognition and rules associated system for manufacturability analysis of sheet metal parts. Ferreira and Vivian [23] presented the recognition of features in cylindrical parts created with the ACIS solid modelling (2D) kernel through the Internet. Ciurana et al. [24] presented computer-aided process planning and feature-based system for choosing the manufacturing route and characteristics in sheet metal processes. Huang et al. [25] developed smart system to assess part features such as flange, punch and bend. Cicek and Gulesin [26] developed automatic recognition system of 3D CAD models of sheet metal parts. The output of the developed system informs of face adjacency relations and attributes. Klingenberg and Boer [27] used condition-based maintenance (CBM) to assess design information for blanking of sheet metal parts. Developed smart system is able to assess product and design information such as tool wear and causing product quality. Zhang et al. [28] proposed feature recognition for both isolated and intersecting geometric features of free from surface models. Kannan and Shunmugam [29] used 3D model data in STEP AP—203 for various features with similar manufacturing attribute are identiﬁed using a set of rules based on topology, geometry and Boolean logic. Oh et al. [30] developed new methods of feature evaluation of sheet metal formability. Strain is measured from the extracted 3D image of sheet metal blank. Gupta and Gurumoorthy [31] presented a new algorithm to extract free-form surface features (FFSFs) from surface model. Concept of separating curve has been proposed in case of formed feature on the surface. Behera et al. [32] developed advanced algorithm for automatic feature detection of formed sheet metal parts by single-point incremental forming (SPIF). Stereolithography (STL) model format is used for detection of features such as geometry, curvature, location, orientation and process parameters. Hussein and Mousa [33] have developed generative feature recognition system for solid model based on STEP-AP203 format. The system is designed using Visual Basic 2008, MS Access and EW Draw module. Gupta et al. [34] proposed extract process parameters from sheet metal parts using (B-rep). Khan et al. [35] used CAPP with a conjunction of 3D CAD model for extraction of part information and process planning of die components. Neugebauer et al. [36] presented automatic feature extraction, recognition and interpretation sheet metal-forming features. Medial axis transformation (MAT) model is used to extract the features. Pishyar and Emadi [37] developed automatic surface inspection system to investigate defective parts by comparing the user requirements and the generated

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images to minimize the wastes led to the product rejection to be delivered steel with better quality to the customer. Khan et al. [38] present a methodology for automatic extraction of some common 2D internal sheet metal features. Tao et al. [39] presented computer-aided product with a conjunction of life-cycle assessment (LCA) for assessment of design features of parts. The proposed system is categories in two section of feature recognition as product feature (PF) and operation feature (OF). Eriyeti et al. [40] developed a framework of Web-based feature recognition system (FRS) for feature recognition of bending structure on a reconﬁgurable bending press machine (RBPM). Ubhayaratne et al. [41] developed semi-blind signal extraction technique for analysis of tool wear monitoring of sheet metal parts. In an evaluation of current set of sheet metal scenario at worldwide, it reveals that most of the researchers have applied efforts for feature recognition of simple part geometry. No literature is available in the area of development of a smart system for automatic feature recognition/extraction of non-symmetric sheet metal parts. In addition, these systems require high-performance computers for processing of algorithm and extraction of features. This type of system will provide a great help to the process planners and die designers working in sheet metal industries. As a result, the productivity of stamping industries will improve a lot and eventually, the cost of sheet metal products will also be reduced. This paper describes a smart system for automatic feature recognition system developed on AutoCAD software. The logic for feature recognition is written in AutoLISP programming language. Based on the literature review, the salient features of major research work in the area of smart system in feature recognition of sheet metal part is summarized in Table 1.

Table 1 Summary of major research work in the area of expert system to die design Ref. No.

Authors

System details

Remarks

[5]

Cser et al. (1991)

Developed for speciﬁc applications

[7]

Meeran and Pratt (1993)

[8]

Lentz and Sowerby (1993) Jagirdar (1995)

Case-based learning is used for recognition of sheet metal products Automatic feature recognition technique is used for simple prismatic part sheet metal parts Feature extraction methodology is used for hole on sheet metal components Feature recognition method is used for 2D sheet metal components Automatic feature recognition technique is used for bend and deep-drawn sheet metal parts

[11]

[42]

Greska et al. (1997)

Deals with only prismatic parts

Deals with only simple feature

Limited to speciﬁc application

Developed speciﬁcally for bend and deep-drawn parts (continued)

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Table 1 (continued) Ref. No.

Authors

System details

Remarks

[19]

Shunmugam and Kannan (2002) Ismail et al. (2005)

Automatic feature extraction technique is used for sheet metal parts Feature recognition technique is used for cylindrical-based and conical-based features of sheet metal parts Integration of CAD and CAPP system is used for feature recognition of sheet metal parts Used feature recognition system for sheet metal parts

Deals with only 3D wireframe models

[43]

[44]

Zhou et al. (2007)

[26]

Cicek and Gulesin (2007) Sunil and Pande (2008)

[45]

[50]

[30]

Farsi and Arezoo (2009) Oh et al. (2011)

[32]

Behera et al. (2012)

[46]

Hussein and Aseel (2013)

[31]

Gupta and Gurumoorthy (2013) Gupta et al. (2014)

[34]

[36]

Neugebauer et al. (2015)

[37]

Pishyar and Emadi (2016)

[38]

Khan et al. (2016)

CAD system is used for automatic feature recognition of 3D CAD model of sheet metal parts Smart feature recognition system is used for sheet metal parts Feature recognition technique is used for feature evaluation of sheet metal formability Used advanced algorithm system for automatic feature detection of formed sheet metal parts Smart system is used for automatic feature recognition of 3D prismatic sheet metal parts Feature extraction system is used for sheet metal parts from CAD model Feature extraction technique is used for extract process parameters from sheet metal parts Automatic feature extraction, recognition and interpretation system is used for sheet metal forming. Medial axis transformation (MAT) model is used to extract the features. Feature extraction system is used for automatic surface inspection of sheet metal parts Automatic extraction technique is used for 2D internal sheet metal parts

Developed specially solid and void ‘sides’ of a boundary entity of parts only System is capable only extract design features related to process planning of sheet metal parts Limited to speciﬁc application

Limited to speciﬁc application

Deals with only bend parts

Limited to speciﬁc application

Developed single-point incremental forming (SPIF) only Deals with only prismatic sheet metal parts Considered only bend parts

Limited to speciﬁc application

Deals with only symmetric sheet metal parts

Considered only simple part geometry Limited to speciﬁc application

(continued)

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Table 1 (continued) Ref. No.

Authors

System details

Remarks

[40]

Eriyeti (2017)

Limited to speciﬁc application

[41]

Ubhayaratne et al. (2017)

Web-based feature recognition system (FRS) is used for feature recognition of bending parts Semi-blind signal extraction technique is used for analysis of tool wear monitoring of sheet metal parts

Developed speciﬁcally for tool wear only

3 Description of Proposed System for Feature Recognition Feature extraction is typically thought as a process that is performed on a geometric model of a ﬁnished part. In the proposed smart system, B-rep technique with 3D solid primitives is used for automatic feature extraction of sheet metal parts. B-rep contains the set of information about parts such as faces, edges and vertices of a part. The classiﬁcation of feature extraction methods is depicted in Fig. 2. In the present system, AutoCAD software is used for modelling of sheet metal part. CAD software uses B-rep approach for CAD modelling [49]. The B-rep of any CAD part model contains two types of information topological and geometric. The topological information contains connectivity, associativity and neighbourhood information. In addition, topological information deal with high-level attribute of the product design. Geometric information usually deals with intelligent decision on the types of entities necessary to use in a particular model to meet certain geometric requirements such as slopes and/or curvatures. General topology of B-rep is shown in Fig. 3. The data structure of a CAD model contains the connectivity of edges since object is made up of faces and faces are made up of edges and vertices. Initially, the proposed system identiﬁes regions of CAD model of part. On identifying the regions, adjacency between them is constructed. This adjacency is further used to recognize features. Geometrical and topological conditions of the identiﬁed regions are used to recognize features. The system extracts features based on the parent–child relationship between them. Proposed smart system has been coded in AutoLISP language. Figure 4 shows the execution of the proposed smart system. Initially, the system invites the user to enter input in form of 3D CAD drawing of sheet metal part in AutoCAD software. The proposed system extracts design features in two stages— (i) pre-feature extraction and (ii) feature extraction. In pre-feature extraction stage, faces of the 3-D CAD drawing ﬁle of sheet metal part are exploded. Features of sheet metal part such as sheet thickness, hole(s) (number of holes, shape and size of holes), distance between holes, distance between edge of hole to the edge of part, notch(es) (type and size of notch), corner radius, size of sheet metal part are extracted automatically by the proposed system. FE.DAT. These extracted features

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Topological

Graph Based

Hint Based

Heuristic

Rule Based

Neural Networks

Delta Volumes Feature extraction methods

Volumetric

Convex Hull Decomposition Recomposition 2.5D Milling

Multi-Axis Milling Process-centric Casting

Solid Freeform

Hybrid Fig. 2 Classiﬁcation of feature extraction methods [47]

MCSG

Smart System for Feature Recognition of Sheet … Fig. 3 General topology of B-rep [48]

Topology

543

Topology

Object

Body

Genus

Face

Underlying Surface Equation

Loop

Edge

Vertex

Underlying Curve Equation

Point Coordinates

are displayed to the user and stored automatically in a data ﬁle labelled as FE.DAT. The output data ﬁle FE.DAT acts as an input to the downstream applications related to die design process. The proposed smart system has been tested successfully for a wide variety of sheet metal parts to extract design features automatically from 3D CAD ﬁles. A sample run of the system for one example parts (Figs. 5 and 7) is shown in Figs. 6 and 8. The detail of features extracted by the system is found exactly similar to that of domain experts in the industry namely M/s Panchmahal Dies and Tools Pvt. Ltd., Vadodara, India, and D D Engineering Pvt. Ltd., Pune, India, for said example parts.

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Start

3-D CAD Drawing File of Sheet Metal Part

Explode 3-D CAD Drawing

Pre-feature extraction Inner Features

Outer Features

Main structure Faces

Feature Extraction

Display of Features

Data File FE.DAT

Stop Fig. 4 Execution of system

Sheet material = Brass Sheet thickness = 0.6mm

Fig. 5 Example part (all dimensions are in mm) (M/s Panchmahal Dies and Tools Pvt. Ltd., Vadodara, India)

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Fig. 6 Output of the proposed system for example part

Sheet material = Stainless Steel [AISI 1090] Sheet thickness = 0.8mm

Fig. 7 Example part (all dimensions are in mm) (M/s D. D. Engineering Pvt. Ltd., Pune, India)

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Fig. 8 Output of the proposed system for example part

4 Conclusion A computer-aided smart system has been developed to assess 3D model features on sheet metal parts. Developed feature recognition system focused on smart solutions to identiﬁed design features on sheet metal parts for design of dies. New smart technique (using AutoLISP language) and extraction algorithms (using B-rep technique) for identiﬁcation of design features on part have been developed. Developed smart technique has classiﬁed into design feature based on the characteristics of sheet metal parts. The developed smart system has been constructed using AutoLISP programming language. The smart system is accomplished tedious task of feature extraction such as size of holes, slots, corner radius, sheet thickness, distance between two holes, distance between hole and edge, maximum corner radius and notch in a short period of time. The smart system is useful to die designer and process planner working in sheet metal industries, especially small- and medium-sized stamping industries. Further work is required to strengthen the capability of proposed system to extract features of bending and deep-drawn parts.

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Author Index

A Achutha, M.V., 527 Agarwal, Pranjal, 457 Anand Kumar, S., 79 Anand, Nishchay, 97 Apoorva, S., 11 Arolkar, Vijay A., 507 Arthanareeswaran, G., 427 Arumuga Perumal, D., 373 Arunkumar, P., 1 Arunvinthan, S., 217 Asokan, R., 131 B Balaguru, S., 397 Balaji, D., 363 Balamurugan, M., 339 Balasubramanian, E., 1 Bhat, I.K., 21, 485 Bhattacharya, S.S., 241 Bhatt, Akash, 257 Bhowmick, Pathikrit, 457 Bhowmick, Shubhankar, 381 Bhuvaneshwaran, G., 1 Boominathan, Elumalai, 41 Bupesh Raja, V.K., 29 C Chaithanya, Kaipa Sai, 357 Chandankar, Pavan, 415 Chandramohan, Sujatha, 145 Chandramohan, V. P., 267 Chetehouna, Khaled, 277

D Devendiran, S., 179, 199 Dhileep, Karthick, 217 Dinesh, M., 131 Dixit, Arun C., 527 E El-Tabach, Eddy, 277 F Falempin, François, 277 G Gaba, Vivek Kumar, 381 Gascoin, Nicolas, 277 Giridharan, K., 47 Goswami, Abhinav Giri, 225 Goswami, Chandramani, 21 Gowri, S., 41 Gupta, Mukur, 437 Gupta, Ravi Kumar, 437 H Hiremath, Gourish, 405 Hussein, H.M.A., 437, 535 J Jaiganesh, V., 47 Jain, Aatmesh, 153, 163, 457 Jain, Sarthak, 389 Jain, Prashant K., 331 Jaison, K.A., 507 Jayanth, K., 153

© Springer Nature Singapore Pte Ltd. 2019 U. Chandrasekhar et al. (eds.), Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), Lecture Notes in Mechanical Engineering, https://doi.org/10.1007/978-981-13-2718-6

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552 Jayasekar, C., 339 Jithin, R., 357 K Kadiresh, P. N., 445 Kankar, P. K., 331 Karthikeyan, S., 113 Kesana, Balashankar, 373 Khadambari, B., 241 Khandai, Suresh Chandra, 11 Kumar, A., 485 Kumarasamy, A., 285 Kumar, Shailendra, 437, 535 Kumar, Virendra, 499 Kuppuraj, R., 467 L Logesh, K., 29 M Madhyastha, Deepak, 107 Malhotra, Dhruv, 457 Manimaran, A., 507 Manivannan, R., 1 Mathew, Arun Tom, 179, 199 Mishra, Chetan, 389 Mohanavel, V., 339 Mohan, Lalit, 499 N Nadaraja Pillai, S., 217 Najmi, Hussain, 277 Narahari, H.K., 107 Naranje, Anand, 65 Naranje, Vishal, 65, 249 Narayan, Yeole Shivraj, 79 Narendiranath Babu, T., 225, 257 Naveen Kumar, K., 299, 357 Naveen Kumar, R., 299 Nayak, Ankit, 331 O Om Ariara Guhan, C. P., 427 P Padmanabhan, S., 47 Pasupathy, S.A., 467 Patel, Dhavalkumar, 257 Patil, Sanjay, 405 Patnaik, Amar, 21, 121, 485

Author Index Peddavarapu, Sreehari, 477 Prasad, Lalta, 499 Prasanna, J., 517 Praveen, A. S., 357 Prince Jeya Lal, L., 55 Puli, Ravi Kumar, 267 R Raghuraman, S., 477 Rajamanickam, S., 517 Rajamani, D., 1 Rajan, K., 339 Rajesh, S., 131 Raj Kumar, G., 299 Ramachandra Rao, M.S., 241 Raman, Ritwik, 153 Ramesh, S., 55 Ram, Prasanna, 311 Rana, Hitesh Kumar, 29 Raturi, Himanshu Prasad, 499 Ravichandra, D., 267 Ravichandran, M., 339 Renganathan, N.G., 311 Roy, Aditya, 389 Rubanrajasekar, B., 131 S Salunkhe, Sachin, 65, 249, 415, 535 Salunkhe, S.S., 437 Sankaram, M.V.N., 249 Sankar, Manoj Aravind, 311 Santhosh Kumar, S., 397 Sarasavadiya, Hardik, 163 Sarkar, Indranil, 153, 163 Satish Kumar, S., 349 Seid, Solomon, 145 Senthil Kumar, M., 299 Senthilkumar, S., 113 Shah, Manthan J., 163 Shanjeevi, C., 349 Sharma, Rahul, 381 Shetty, Vikas V., 373 Silambarasan, M., 1 Singh, Jasjeev, 249 Singh, Tej, 21 Sivakumar, P., 285 Sivarajan, S., 97 Solanki, Naveen, 389 Sondhi, Lakshman, 381 Soni, Aman, 121

Author Index Sridhara, B.K., 527 Srinivasan, K.V., 507 Srivastava, Animesh, 225 Subhankar, Ghosh, 113 Sujatha, S., 145 Suresh Chandra Khandai, 11 Suresh Kumar, S., 339 Surya, M., 363 T Teraiya, Soham, 535 Thamilarasan, J., 349 Tharnari, Devansh, 257 Tiwari, Rishabh Kumar, 225

553 V Velu, S., 349 Venkatasudhahar, M., 29 Venkatesan, K., 179, 199 Venkatesan, S.P., 445 Vetri Velmurugan, K., 179, 199 Vignesh, R., 363 Vignesh, S., 131 Vijayanandh, R., 299 Vishnu, R., 363 Vishnu Pragash, A., 363 Viswanath, Hari, 285 Vora, K.C., 153, 457 W Wani, Kiran, 405

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