Advances in Forming, Machining and Automation -

Advances in Forming, Machining and Automation (eBook)

Select Proceedings of AIMTDR 2021
eBook Download: PDF
2022 | 1st ed. 2023
XX, 666 Seiten
Springer Nature Singapore (Verlag)
978-981-19-3866-5 (ISBN)
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This book presents selected proceedings of the 8th International and 29th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2021). It covers the recent developments in the areas of metal forming and machining techniques, incremental forming, microforming, nesting algorithms, process simulation, parameter analysis, tools and tooling, tool wear, condition monitoring, cyber physical systems, robotics, machine vision, intelligent manufacturing, enterprise manufacturing intelligence, etc. The contents of this book will be useful for students, researchers as well as industry professionals in the various fields of mechanical engineering.




Dr A Ramesh Babu is Professor in the Department of Mechanical Engineering, PSG College of Technology, Coimbatore. He obtained his B.E. from Osmania University, M.Tech. from University of Mysore and Ph.D. from the Indian Institute of Technology, Madras. He pursued his Post-Doctoral Research at Lehrstuhl für Qualitätsmanagement und Fertigungsmesstechnik, Universität Erlangen-Nürnberg, Germany. He worked for Amada Co. Ltd., Japan (at Amada Soft India), world's leading  machine tool manufacturers specilized in sheet metal cutting and bending machinery. His research interests include CAD/CAM, Artificial Intelligence in Manufacturing, Robotics, Augmented Reality, Image processing, Industrial IoT and Product development. He has published 20 technical papers in various reputed international journals and international conferences and contributed for book chapters.

Dr S Udhayakumar is Assistant Professor in the Department of Mechanical Engineering, PSG College of Technology, Coimbatore. He obtained his B.E. from Bharathiar University, M.E.  and Ph.D. from Anna University, Chennai. His major areas of research include manufacturing automation, mechatronics and energy harvesting. He has published more than 60 papers in reputed International and National Journals / Conferences. He has received the 'Institution of Engineers- Young Engineer award, 'PSG Teacher of the Year' award and 'Institution of Engineers - Young Achiever' award. He has been involved in two technology transfers and has filed four patents.

Dr U S Dixit is Professor in the Department of Mechanical Engineering, Indian Institute of Technology, Guwahati. He obtained his Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology, Roorkee in 1987. He obtained his M.Tech. and Ph.D. in Mechanical Engineering from the Indian Institute of Technology, Kanpur in 1993 and 1998, respectively. He has more than two decades' experience in carrying out research in the area of metal forming and machining. Apart from FEM, he uses fuzzy set theory and neural networks in his research. Before taking up a research career, he worked as a machine tool designer in HMT Ltd. Pinjore, India. He has published 115 peer reviewed international journal papers and published 14 books.

Dr M Kanthababu is Professor in the Department of Manufacturing Engineering in Anna University, Chennai, India and Director of the Centre for Intellectual Property Right and Trade Mark, Anna University. He obtained his B.E. from Bharathiyar University, M.S. and Ph.D. from the Indian Institute of Technology, Madras. Prof Kanthababu's research interests include manufacturing technology, composite materials and machining, and automation in manufacturing. He has published 32 peer reviewed international journal papers and two books, and holds one patent.


This book presents selected proceedings of the 8th International and 29th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2021). It covers the recent developments in the areas of metal forming and machining techniques, incremental forming, microforming, nesting algorithms, process simulation, parameter analysis, tools and tooling, tool wear, condition monitoring, cyber physical systems, robotics, machine vision, intelligent manufacturing, enterprise manufacturing intelligence, etc. The contents of this book will be useful for students, researchers as well as industry professionals in the various fields of mechanical engineering.
Erscheint lt. Verlag 3.10.2022
Reihe/Serie Lecture Notes in Mechanical Engineering
Lecture Notes in Mechanical Engineering
Zusatzinfo XX, 666 p. 419 illus., 351 illus. in color.
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Bauwesen
Technik Maschinenbau
Schlagworte Automation Smart Manufacturing • intelligent manufacturing • Machining • Metal forming • tool wear
ISBN-10 981-19-3866-0 / 9811938660
ISBN-13 978-981-19-3866-5 / 9789811938665
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