Intelligent Machining: Using Computational Intelligence to Optimize Manufacturing Processes - Hardcover

Hardcover

ISBN 10: 1774919583 ISBN 13: 9781774919583

Publisher: Apple Academic Press, 2025

Synopsis

Manufacturing, as an industry, has been undergoing huge transformation in recent times due to technological development, putting manufacturing at the intersection of traditional techniques and advanced computational intelligence. This new volume offers an understanding of the nuances of this transformation. It provides an exploration of high-strength steel sections and discusses the selection of a CNC lathe using the TOPSIS method. Bibliometric insights into multi-objective optimization and metaheuristic algorithms are also discussed as is the development of high entropy alloys. The book delves into practical applications of computational intelligence, including optimizing investment casting process parameters, enhancing mobile robot navigation performance, and more. The intricate processes behind fabrication are also explored along with a study of wear and thermal behaviors of advanced composite coatings.

About this title

About the Author

Kanak Kalita, PhD, is an Associate Professor of Mechanical Engineering at Vel Tech University, Chennai, India. A prolific author and editor, he is listed among the Top 2% Scientists Worldwide 2023 by Stanford University. Dr. Kalita is an engaging speaker, having delivered expert lectures across various academic and professional platforms. His research interests include machine learning, fuzzy decision making, metamodeling, process optimization, the finite element method, and composites.
Ranjan Kumar Ghadai, PhD, is an Associate Professor of Mechanical and Industrial Engineering at the Manipal Institute of Technology, India. He has published more than 75 SCI/Scopus-indexed research articles and is a reviewer for several journals. He is also handling sponsored projects as principal or coprincipal investigator. His broad research area includes thin film coating deposition, process optimization, and development of composites.
Xiao-Zhi Gao, PhD, has been a Professor at the University of Eastern Finland, Kuopio, since 2018. Dr. Gao serves as chief editor, associate editor, and a member of the editorial boards for several prominent soft computing journals. He has published over 500 technical papers and over 400 research articles as well as two authored books and several edited books. His research is focused on nature-inspired computing methods, with applications spanning optimization, prediction, data mining, signal processing, control, and industrial electronics.

Edition details

• Publisher: Apple Academic Press
• Publication date: 2025
• Language: English
• ISBN 10: 1774919583
• ISBN 13: 9781774919583
• Binding: Hardcover
• Edition number: 1
• Number of pages: 270
• Editor: Kalita Kanak, Ghadai Ranjan Kumar, Gao Xiao-Zhi