Digital Twin Driven Smart Design

Erscheinungsjahr 2020
ISBN: 978-0-12-818918-4
Verlag: ACADEMIC PR INC

Buch, Englisch, 358 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 570 g

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.

Zielgruppe

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

Autoren/Hrsg.

Tao, Fei

Liu, Ang

Hu, Tianliang

Nee, A.Y.C.

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Konstruktionslehre, Bauelemente, CAD
• Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik

Inhaltsverzeichnis

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

Über Autor(innen)

Tao, Fei
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.

Nee, A.Y.C.
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.

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

Liu, Ang
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).