Digital Twin Driven Smart Design and 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 twins in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, connected manufacturing systems. This book provides the 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 do I construct a digital twin? (c) How do I use a digital twin to improve design and 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?
This book focuses on these problems as it aims to help readers make the best use of digital twin technology for design and manufacturing.
- Analyses the differences, synergies, and possibilities for integration between digital twin technology and other technologies such as AI, big data, cyber-physical systems, and cloud computing
- Explains the methods for creating a traditional 3D digital twin, and also proposes a methodology for creating a 5D digital twin
- Investigates new models for optimized product design, manufacturing, service, and cyber-physical fusion based on the digital twin model
Engineers, managers, and consultants with an interest in smart manufacturing. Postgraduates and researchers with an interest in advanced engineering design and manufacture, prognostic product health and lifecycle management
1. Background and Concept of Digital Twin
2. Applications of Digital Twin
3. Digital Twin Modeling and Its Key Technologies
4. Digital Twin Shop-floor (DTS)
5. Equipment Energy Consumption Management in Digital Twin Shop-floor
6. Cyber-Physical Fusion in Digital Twin Shop-floor
7. Digital Twin Driven Prognostics and Health Management (PHM)
8. Digital Twin and Cloud, Fog, Edge Computing
9. Digital Twin and Big Data
10. Digital Twin and Services
11. Digital Twin and Virtual Reality, Augmented Reality and Mixed Reality
12. Digital Twin and Internet of Things
- No. of pages:
- © Academic Press 2019
- 1st February 2019
- Academic Press
- Paperback ISBN:
Fei Tao is a Professor at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests are service-oriented intelligent manufacturing, manufacturing service management and optimization, green and sustainable manufacturing.
Professor, School of Automation Science and Electrical Engineering, Beihang University, China
Meng Zhang is a PhD student at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research is focused on the uses of “internet of things” and digital twin technology in product design and manufacturing.
PhD student, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
A.Y.C. Nee is a Professor of Manufacturing Engineering at the National University of Singapore. His research interests include the use of AI and virtual and augmented reality applications in manufacturing, sustainable product design and manufacturing, and computer aided manufacturing design. He is the Director of the NUS Office of Research, and Chairman of Manusoft Technologies Pte Ltd.
Professor of Manufacturing Engineering, National University of SIngapore, Singapore.