This book provides readers with a guide to the use of Digital Twin in manufacturing. It presents a collection of fundamental ideas about sensor electronics and data acquisition, signal and image processing techniques, seamless data communications, artificial intelligence and machine learning for decision making, and explains their necessity for the practical application of Digital Twin in Industry.
Providing case studies relevant to the manufacturing processes, systems, and sub-systems, this book is beneficial for both academics and industry professionals within the field of Industry 4.0 and digital manufacturing.
Introduction.- Sensor Electronics.- Signal Acquisition and Processing.- Image Processing.- Data Communication: Cloud and Fog Computing.- Machine Learning and Decision Making.- Artificial Intelligence in Decision Making.- Digital Twin Application.- Conclusions.
Professor Surjya K Pal gained his M.Tech from IIT Kanpur in 1993, and his PhD from IIT Kharagpur in 1999. He then worked as postdoctoral researcher at The University of Sheffield until 2002, after which he took up a teaching position at IIT Guwahati. Since 2004, he has been working at IIT Kharagpur, where he is currently a Professor in the Department of Mechanical Engineering, and the Chairperson of the Centre of Excellence in Advanced Manufacturing Technology. He has written over 156 international journal articles, 90 conference papers and presentations, and 15 book chapters. He has also filed 11 patents. His research interests primarily focus on Industry 4.0, friction stir welding, and the modelling and simulation of manufacturing processes.
Debasish Mishra is a doctoral student in Advanced Technology Development Centre at IIT Kharagpur, after gaining his M.Tech from VSSUT BurlalSg
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