This handbook covers smart manufacturing development, processing, modifications, and applications. It provides a complete understanding of the recent advancements in smart manufacturing through its various enabling manufacturing technologies, and how industries and organizations can find the needed information on how to implement smart manufacturing towards sustainability of manufacturing practices.
Handbook of Smart Manufacturing: Forecasting the Future of Industry 4.0 covers all related advances in manufacturing such as the integration of reverse engineering with smart manufacturing, industrial internet of things (IIoT), and artificial intelligence approaches, including Artificial Neural Network, Markov Decision Process, and Heuristics Methodology. It offers smart manufacturing methods like 4D printing, micro-manufacturing, and processing of smart materials to assist the biomedical industries in the fabrication of human prostheses and implants. The handbook goes on to discuss how to accurately predict the requirements, identify errors, and make innovation for the manufacturing process more manageable by implementing various advanced technologies and solutions into the traditional manufacturing process. Strategies and algorithms used to incorporate smart manufacturing into different sectors are also highlighted within the handbook.
This handbook is an invaluable resource for stakeholders, industries, professionals, technocrats, academics, research scholars, senior graduate students, and human healthcare professionals.
About the Author: Dr. Ajay has over 50 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database, and refereed international conferences to his credit. He has also co-authored 2 textbooks and has organized various national and international events. He has more than 15 national and international patents to his credit and has completed various consultancy projects along with winning won several proficiency awards during the course of his career.
Dr. Hari Singh is a Professor in the Mechanical Engineering Department at NIT Kurukshetra, India. He completed his Bachelor in Mechanical Engineering with Honours in 1987, his Master in Mechanical Engg in 1994, and his Ph.D. in 2001 from Regional Engineering College, Kurukshetra (now, NIT Kurukshetra). He has 34 years of teaching and research experience in the present institute and has published 150 research papers in various journals of repute and national/international conference proceedings. He has three patents to his credit and his areas of interest include Conventional and Unconventional Manufacturing Processes, Product and Process Improvement, Single and Multi-Response Optimization, Design of Experiments, Taguchi Methods, and Response Surface Methodology.
Dr. Parveen is currently serving as an Assistant Professor in the Department of Mechanical Engineering, Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. Currently, he is pursuing a Ph.D. from the National Institute of Technology, Kurukshetra, Haryana, India. He completed his B.Tech. (Hons.) from Kurukshetra University, Kurukshetra, India and M.Tech. (Distinction) in Manufacturing and Automation from Maharshi Dayanand University, Rohtak, India. His areas of research include Materials, Die less Forming, Additive Manufacturing, CAD/CAM, and optimization techniques. He has over 20 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has more than 6 national and international patents to his credit along with 12 years of experience in teaching and research.
Bandar AlMangour is currently an Assistant Professor at King Fahd University of Petroleum and Minerals (KFUPM) in the Department of Mechanical Engineering. Prior to joining KFUPM, AlMangour has served in multiple operational and research roles within SABIC, Saudi Arabia, and has pursued his Postdoctoral Fellowship at Harvard University. Dr. AlMangour received his Ph.D./MSc, with distinction, in Materials Science and Engineering from UCLA in 2017 and 2014 respectively, an MEng in Materials Engineering from McGill University in 2012, and a BSc in Mechanical Engineering from KFUPM in 2005. He sits on the Editorial (Advisory) Board of several international journals and is also a Committee Member for the Journal of Materials Engineering and Performance, ASM International. Dr. AlMangour is a member of several professional organizations and serves as a reviewer for several internationally recognized journals. His research is generally concerned with the investigation of fundamental industrial problems related to the processing, microstructure, and behavior of materials, ranging from metals to (nano-) composites, for advanced structural and biomedical applications. His current research focuses on scalable materials processing including additive manufacturing and powder metallurgy, mechanical behavior at multiple length scales, bulk nanostructured alloys and composites, and surface engineering. AlMangour has authored more than 40 peer-reviewed papers in internationally recognized journals. AlMangour has more than 2,100 citations from his numerous refereed publications on additive manufacturing and surface engineering, and his research developments have been presented at well over two dozen international conferences, including invited talks in UAE, Turkey, and Greece.
