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OverviewFull Product DetailsAuthor: Fei Tao (Professor, School of Automation Science and Electrical Engineering, Beihang University, China) , Ang Liu (Senior lecturer, School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia) , Tianliang Hu (Associate Professor, School of Mechanical Engineering, Shandong University, China) , A.Y.C. Nee (Professor of Manufacturing Engineering, National University of SIngapore, Singapore)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Weight: 0.570kg ISBN: 9780128189184ISBN 10: 0128189185 Pages: 358 Publication Date: 08 May 2020 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Digital Twin Driven Product Design Framework 2. Digital Twin Enhanced Functional Design 3. Digital Twin Driven Conceptual Design 4. Digital Twin Driven Lean Design 5. Digital Twin Driven Green Design 6. Digital Twin and TRIZ Enhanced Innovative Design 7. Digital Twin Driven Design Evaluation 8. Digital Twin Driven Factory Design 9. Multi-domain Modelling for Digital Twin Prototype 10. Digital Twin Driven Virtual CommissioningReviewsAuthor InformationFei 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. Tab Content 6Author Website:Countries AvailableAll regions |
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