Digital Twin Driven Smart Manufacturing
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2019
- Softcover
- New

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Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process.The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and connected manufacturing systems. This book provides an ideal entry point to this subject for readers in industry and academia, as it answers the questions: (a) What is a digital twin? (b) How to construct a digital twin? (c) How to use a digital twin to improve manufacturing efficiency? (d) What are the essential activities in the implementation of a digital twin? (e) What are the most important obstacles to overcome for the successful deployment of a digital twin? (f) What are the relations between digital twin and New Technologies? (g) How to combine digital twin with the New Technologies to achieve high efficiency and smartness in manufacturing?This book focuses on these problems as it aims to help readers make the best use of digital twin technology towards smart manufacturing.…
Seller Inventory # LU-9780128176306
- Title
- Digital Twin Driven Smart Manufacturing
- Author
- Fei Tao, Meng Zhang, A.Y.C. Nee
- Publisher
- Elsevier Science Publishing Co Inc, US
- Publication year
- 2019
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 012817630X
- ISBN 13
- 9780128176306
- Item weight
- 480 grams
The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and connected manufacturing systems. This book provides an ideal entry point to this subject for readers in industry and academia, as it answers the questions: (a) What is a digital twin? (b) How to construct a digital twin? (c) How to use a digital twin to improve manufacturing efficiency? (d) What are the essential activities in the implementation of a digital twin? (e) What are the most important obstacles to overcome for the successful deployment of a digital twin? (f) What are the relations between digital twin and New Technologies? (g) How to combine digital twin with the New Technologies to achieve high efficiency and smartness in manufacturing?
This book focuses on these problems as it aims to help readers make the best use of digital twin technology towards smart manufacturing.
- Analyzes the differences, synergies and possibilities for integration between digital twin technology and other technologies, such as big data, service and Internet of Things
- Discuss new requirements for a traditional three-dimension digital twin and proposes a methodology for a five-dimension version
- Investigates new models for optimized manufacturing, prognostics and health management, and cyber-physical fusion based on the digital twin
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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