Materials Science and Engineering for the 1990s
Materials Science and Engineering for the 1990s

Author: National Research Council

Publisher: National Academies Press

Published: 1989-02-01

Total Pages: 322

ISBN-13: 0309039282

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Materials science and engineering (MSE) contributes to our everyday lives by making possible technologies ranging from the automobiles we drive to the lasers our physicians use. Materials Science and Engineering for the 1990s charts the impact of MSE on the private and public sectors and identifies the research that must be conducted to help America remain competitive in the world arena. The authors discuss what current and future resources would be needed to conduct this research, as well as the role that industry, the federal government, and universities should play in this endeavor.

Machine Learning Applications in Non-Conventional Machining Processes
Machine Learning Applications in Non-Conventional Machining Processes

Author: Bose, Goutam Kumar

Publisher: IGI Global

Published: 2021-02-05

Total Pages: 313

ISBN-13: 1799836266

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Traditional machining has many limitations in today’s technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today’s technology-driven market.