This volume presents a selection of papers from the 2nd International Conference on Computational Methods in Manufacturing (ICCMM 2019). The papers cover the recent advances in computational methods for simulating various manufacturing processes like machining, laser welding, laser bending, strip rolling, surface characterization and measurement. Articles in this volume discuss both the development of new methods and the application and efficacy of existing computational methods in manufacturing sector. This volume will be of interest to researchers in both industry and academia working on computational methods in manufacturing.
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R. Ganesh Narayanan is an Associate Professor at the Department of Mechanical Engineering, Indian Institute of Technology (IIT) Guwahati, India. He received his Ph.D. from the IIT Bombay, India. His research areas include metal forming and joining. He has contributed many research articles in reputed journals and international conferences. He has edited few books including ‘Sustainable Material Forming and Joining’ published by CRC Press USA, ‘Strengthening and Joining by Plastic Deformation’ published by Springer Singapore, ‘Advances in Material Forming and Joining’ published by Springer India, and ‘Metal Forming Technology and Process Modeling’ published by McGraw Hill Education, India. He has also edited special issues of journals including ‘Advances in Computational Methods in Manufacturing’ in the International Journal of Mechatronics and Manufacturing Systems, and ‘Numerical Simulations in Manufacturing’ in the Journal of Machining and Forming Technologies. He has organized three international conferences at IIT Guwahati namely International Conference on Computational Methods in Manufacturing (ICCMM) in 2011, the 5th International and 26th All India Manufacturing Technology, Design and Research (AIMTDR) Conference in 2014, and International Conference on Computational Methods in Manufacturing (ICCMM) in 2019. He has also organized a GIAN course on ‘Green Material Forming and Joining’ at IIT Guwahati in 2016.
Shrikrishna N. Joshi is an Associate Professor in the Department of Mechanical Engineering, Indian Institute of Technology Guwahati, India, where he joined after completing his doctoral studies from IIT Bombay in 2010. His research interests include laser based manufacturing, ultra-precision machining, computer aided design and manufacturing (CAD/CAM) and, manufacturing process modeling & optimization. He has authored/co-authored about 50 research articles in international journals/conferences and 6 book chapters. He has also co-edited 2 books on “Laser based manufacturing” with Springer.
Uday Shanker Dixit is a Professor in the Department of Mechanical Engineering, Indian Institute of Technology Guwahati. He completed his BE in Mechanical Engineering from the University of Roorkee (now the Indian Institute of Technology Roorkee) in 1987, and his MTech and PhD in Mechanical Engineering from the Indian Institute of Technology Kanpur (IIT Kanpur) in 1993 and 1998, respectively. Prof Dixit has previously worked on designing machines for industry, and as the Officiating Director of the Central Institute of Technology, Kokrajhar. Prof Dixit has been actively engaged in research in various areas of design and manufacturing for the last 25 years. He has authored/co-authored more than 200 research papers, 27 book chapters and 7 books on mechanical engineering. He has also co-edited 7 books on manufacturing. Presently, he is an associate editor of the Journal of the Institution of Engineers (India), Series C and Vice-President of the AIMTDR conference.
This volume presents a selection of papers from the 2nd International Conference on Computational Methods in Manufacturing (ICCMM 2019). The papers cover the recent advances in computational methods for simulating various manufacturing processes like machining, laser welding, laser bending, strip rolling, surface characterization and measurement. Articles in this volume discuss both the development of new methods and the application and efficacy of existing computational methods in manufacturing sector. This volume will be of interest to researchers in both industry and academia working on computational methods in manufacturing.
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