Digital Twin Driven Smart Manufacturing

ISBN-13: 9780128176306 / Angielski / Miękka / 2019 / 282 str.

Fei Tao; Meng Zhang; A. y. C. Nee

Spis treści

1. Background and Concept of Digital Twin2. Applications of Digital Twin3. Digital Twin Modeling and Its Key Technologies4. Digital Twin Shop-floor (DTS)5. Equipment Energy Consumption Management in Digital Twin Shop-floor6. Cyber-Physical Fusion in Digital Twin Shop-floor7. Digital Twin Driven Prognostics and Health Management (PHM)8. Digital Twin and Cloud, Fog, Edge Computing9. Digital Twin and Big Data10. Digital Twin and Services11. Digital Twin and Virtual Reality, Augmented Reality and Mixed Reality12. Digital Twin and Internet of Things

O autorze

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. Meng Zhang is a PhDd student at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. Her research is focused on digital twin technology in manufacturing and sustainable manufacturing. 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.