The co-op bookstore for avid readers
Book Cover for: Optimization of Advanced Manufacturing Processes, Sandip Kunar

Optimization of Advanced Manufacturing Processes

Sandip Kunar

Optimization for advanced manufacturing processes in fabrication is becoming increasingly important around the world across a range of industries because of its improved productivity, capabilities, efficacy, and sustainability characteristics.

This new book explains how to optimize various industrial systems and processes utilizing new significant statistical and evolutionary methodologies. Statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization are covered here, with relevant theoretical details, salient characteristics, implementation processes, effectiveness studies, and results in manufacturing.

The chapters present a variety of advanced manufacturing processes and optimization techniques. Processes are described with basic explanations, characteristics, and applications in various technological and biomedical domains. The chapters address the processes prediction of mechanical properties, design and development of tools, impact of power supply, increasing machining precision and efficiency, genetic algorithm optimization, additive manufacturing, and much more.

Providing a comprehensive study of advanced manufacturing processes, this volume is a valuable reference for engineers and R&D researchers involved in optimization for advanced manufacturing processes as well as for academics and postgraduate-level students in mechanical engineering, manufacturing engineering, and machining processes.

Book Details

  • Publisher: Apple Academic Press
  • Publish Date: Nov 29th, 2024
  • Pages: 262
  • Language: English
  • Dimensions: 0.00in - 0.00in - 0.00in - 0.00lb
  • EAN: 9781774916025
  • Categories: Production & Operations ManagementGeneralMechanical

About the Author

Sandip Kunar, PhD, is working as Assistant Professor in the Department of Mechanical Engineering at Aditya Engineering College, India. His research interests include nonconventional machining processes, micromachining processes, advanced manufacturing technology, and industrial engineering. He has carried out his research work at the Saha Institute of Nuclear Physics, Kolkata, and Raja Ramanna Centre for Advanced Technology, Bhabha Atomic Research Centre (BARC), Unit, India. He has published one international webinar and has filed two patents. He is a life member of the Indian Society for Technical Education, New Delhi, and holds professional memberships in various other renowned international professional bodies. He has twice received best innovative paper awards at international conferences and was awarded a national scholarship, a state fellowship for his PhD program, several college scholarships, and 1st class in yoga and physical championship. He is a reviewer for over 20 highly reputed international journals, such as the Journal of Material Science and Technology, IEEE/ASME Transactions on Mechatronics, Materials and Manufacturing Processes, Journal of Physics D: Applied Physics, etc. He has also delivered lectures at faculty development programs, short-term courses, workshops, and seminars. He completed his ME and PhD at Jadavpur University, Kolkata, India.

Prasenjit Chatterjee, PhD, is currently Professor of Mechanical Engineering and Dean (Research and Consultancy), MCKV Institute of Engineering, West Bengal, India. He has over 100 research papers published in international journals and peer-reviewed conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards, including a Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award, and University Gold Medal. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing. He has also been a guest editor of several special issues in different SCIE/Scopus/ESCI (Clarivate Analytics) indexed journals. He is also the Lead Series Editor of the book series Smart and Intelligent Computing in Engineering; Founder and Lead Series Editor of several book series, including Concise Introductions to AI and Data Science; AAP Research Notes on Optimization and Decision-Making Theories; Frontiers of Mechanical and Industrial Engineering; and River Publishers Series in Industrial Manufacturing and Systems Engineering. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).

M. Sreenivas Reddy, PhD, is working as the Director of Aditya Group of Educational Institutions, Surampalem, Andhra Pradesh, India, where he is also Principal of Aditya Engineering College. He has more than 20 years of teaching experience and five years of industry experience. His research interests include nonconventional machining processes, manufacturing technology, etc. He has published more than 25 research papers in various reputed international journals and national and international conference proceedings. He has also published two books and over nine book chapters with reputed international book publishers. He is a life member of the Indian Society for Technical Education, member of the Institute of Engineers (India), fellow member of the Indian Society of Mechanical Engineers, and member of the Computer Society of India. He has filed 11 patents and is a reviewer of more than ten highly reputed international journals, such as Journal of Material Science and Technology (Elsevier), IEEE/ASME Transactions on Mechatronics, Materials and Manufacturing Processes (Taylor and Francis), Journal of Physics D: Applied Physics, and IOP Science. He was awarded his PhD by Jawaharlal Nehru Technological University, Kakinada, India.