Digital Twin Driven Smart Design
Published on 8. May 2020
Book
Paperback/Softback
358 pages
978-0-12-818918-4 (ISBN)
Description
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Engineers, managers, and consultants with an interest in smart design.Postgraduates and researchers with an interest in advanced engineering design and manufacture, prognostic product health and lifecycle management
Product notice
Paperback (trade)
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 19 mm
Weight
483 gr
ISBN-13
978-0-12-818918-4 (9780128189184)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Fei Tao | Ang Liu | Tianliang Hu
Digital Twin Driven Smart Design
E-Book
05/2020
Academic Press
€220.00
Available for download
Persons
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.
Author
Professor, School of Automation Science and Electrical Engineering, Beihang University, China
Senior lecturer, School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia
Associate Professor, School of Mechanical Engineering, Shandong University, China
Professor of Manufacturing Engineering, National University of SIngapore, Singapore
Content
1. Digital Twin Driven Product Design Framework2. Digital Twin Enhanced Functional Design3. Digital Twin Driven Conceptual Design4. Digital Twin Driven Lean Design5. Digital Twin Driven Green Design6. Digital Twin and TRIZ Enhanced Innovative Design7. Digital Twin Driven Design Evaluation8. Digital Twin Driven Factory Design9. Multi-domain Modelling for Digital Twin Prototype10. Digital Twin Driven Virtual Commissioning