Advanced Manufacturing Methods: Smart Processes and Modeling for Optimization - Rilegato

Rilegato

ISBN 10: 0367370891 ISBN 13: 9780367370893

Casa editrice: CRC Press, 2022

Riassunto

Advanced Manufacturing Methods: Smart Processes and Modeling for Optimization describes developments in advanced manufacturing processes and applications considering typical and advanced materials. 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 in the manufacturing sector.

• Discusses the industrial impact of manufacturing process
• Provides novel fundamental manufacturing solutions
• Presents the various aspects of applications in advanced materials in correlation of physical properties with macro-, micro- and nanostructures
• Reviews both classical and artificial manufacturing when applied with typical and novel innovative materials

Aimed at those working in manufacturing, mechanical and optimization of manufacturing processes, this work provides readers with a comprehensive view of current development in, and applications of, advanced manufacturing.

Su questo libro

Informazioni sull'autore

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.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: CRC Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0367370891
• ISBN 13: 9780367370893
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 196
• Redattore: Pruncu Catalin I., Zbitou Jamal
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania