Digital Twin Driven Smart Design

Tao, Fei (EDT); Liu, Ang (EDT); Hu, Tianliang (EDT); Nee, A. Y. C. (EDT)

ISBN 10: 0128189185 / ISBN 13: 9780128189184

Editore: Academic Press, 2020

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Dati bibliografici

• Titolo: Digital Twin Driven Smart Design
• Editore: Academic Press
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 0128189185
• ISBN 13: 9780128189184
• Rilegatura: Brossura
• Condizione: As New

Descrizione articolo

Riassunto

Digital Twin Driven Smart Design draws on the latest industry practice and research to establish a basis for the implementation of digital twin technology in product design. Coverage of relevant design theory and methodology is followed by detailed discussions of key enabling technologies that are supported by cutting-edge case studies of implementation. This groundbreaking book explores how digital twin technology can bring improvements to different kinds of product design process, including functional, lean and green. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in digital manufacturing or computer-aided design.

• Provides detailed case studies that explore key applications of digital twin technology in design practice
• Introduces the concept of using digital twins to create the virtual commissioning of design projects
• Presents a framework to help engineers incorporate digital twins into their product design process

Informazioni sugli autori

Fei Tao is a Professor at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests are service-oriented smart manufacturing, manufacturing service management and optimization, digital twin driven product design/manufacturing/service, green and sustainable manufacturing.

Dr. Liu's research interests include innovative design thinking, design theory and methodology, intelligent manufacturing, technology-enhanced learning, and engineering design education. He is also a Research Affiliate of the International Academy of Production Engineering (CIRP).

Dr Hu’s research interests include the modeling of machine tools, digital twins, and industrial internet of things.

A.Y.C. Nee is Professor Emeritus in Manufacturing Engineering at the National University of Singapore. His research interests include the use of AI, virtual and augmented reality applications in manufacturing, sustainable product design and life cycle engineering, and computer aided manufacturing design. He is Fellow of CIRP, Fellow of SME and Fellow of the Academy of Engineering Singapore.