COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Digital Twin Driven Smart Design - 1st Edition - ISBN: 9780128189184, 9780128189191

Digital Twin Driven Smart Design

1st Edition

0.0 star rating Write a review
Authors: Fei Tao Ang Liu Tianliang Hu A.Y.C. Nee
Paperback ISBN: 9780128189184
eBook ISBN: 9780128189191
Imprint: Academic Press
Published Date: 8th May 2020
Page Count: 358
Sales tax will be calculated at check-out Price includes VAT/GST
349.94
195.00
220.00
250.00
212.50
Unavailable
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

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 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 Commissioning

Details

No. of pages:
358
Language:
English
Copyright:
© Academic Press 2020
Published:
8th May 2020
Imprint:
Academic Press
Paperback ISBN:
9780128189184
eBook ISBN:
9780128189191

About the Authors

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

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

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

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

Ratings and Reviews