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Elsevier

Digital Twin Driven Smart Design

  • 1st Edition - May 7, 2020
  • Latest edition
  • Authors: Fei Tao, Ang Liu, Tianliang Hu, A.Y.C. Nee
  • Language: English

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. C… Read more

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Description

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.

Key features

  • Provides detailed case studies that explore key applications of digital twin technology in design practice
  • Introduces the concept of using digital twins to create the virtual commissioning of design projects
  • Presents a framework to help engineers incorporate digital twins into their product design process

Readership

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

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: May 8, 2020
  • Language: English

About the authors

FT

Fei Tao

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.
Affiliations and expertise
Professor, School of Automation Science and Electrical Engineering, Beihang University, China

AL

Ang Liu

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).
Affiliations and expertise
Senior lecturer, School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia

TH

Tianliang Hu

Dr Hu’s research interests include the modeling of machine tools, digital twins, and industrial internet of things.
Affiliations and expertise
Associate Professor, School of Mechanical Engineering, Shandong University, China

AN

A.Y.C. Nee

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.
Affiliations and expertise
Professor of Manufacturing Engineering, National University of SIngapore, Singapore

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