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The book describes advanced manufacturing processes and applications in design of electrical equipment. It helps readers implement manufacturing 4.0 production techniques and highlights why a consolidated source and robust platform are necessary for implementing machine learning processes.
List of contents
Preface, Editor Biographies, List of Contributors, Chapter 1. Enabling Smart Manufacturing with Artificial Intelligence and Big Data: A Survey and Perspective, Chapter 2. Green Applications with an Advanced Manufacturing Method: Cold Spray Deposition Technology, Chapter 3. Multi-Criteria Decision-Making Applications in Conventional and Unconventional Machining Techniques, Chapter 4. Taguchi-Based GRA Method for Multi-Response Optimization of Spool Bore in EHSV Made Up of Stainless Steel, Chapter 5. Wearing Behaviour of Electrodes during EDM of AISI 1035 Steel, Chapter 6. Achieving Optimal Efficiency in Manufacturing through Reinforced PA 3D Printed Parts Generated by FDM Technology, Chapter 7. Characterization of Effect of Cellular Support Structures in Selective Laser Melting Using Stainless Steel, Chapter 8. Using Carbon Nanotubes for Advanced Manufacturing of Antibiofilm Materials, Chapter 9. Development of a Novel Nanocomposite Coating for Tribological Applications, Index
About the author
Dr. Catalin Pruncu has been a Charter and Member of the Institute of Mechanical Engineers (UK) since November 2015. Currently, his research is dedicated to further develop and validate hot form quench (HFQ®) Technology for use in the global automotive industry. Dr. Pruncu is Research Association at Imperial College London.
Dr. Jamal Zbitou received the Ph.D. degree in electronics from Polytech of Nantes, the University of Nantes, France in 2005. He is currently Associate Professor of Electronics at FST, Hassan First University, Settat, Morocco and the head of Computing Networks and Telecommunication at the MEET Laboratory, FSTS. He is involved in the design of hybrid, monolithic active, and passive microwave electronic circuits.
Summary
The book describes advanced manufacturing processes and applications in design of electrical equipment. It helps readers implement manufacturing 4.0 production techniques and highlights why a consolidated source and robust platform are necessary for implementing machine learning processes.
