Digital Twin Driven Service

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Fei Tao (Professor, School of Automation Science and Electrical Engineering, Beihang University, China) Qinling Qi

Digital Twin Driven Service

Fei Tao (Professor, School of Automation Science and Electrical Engineering, Beihang University, China), Qinling Qi, A.Y.C. Nee (Professor of Manufacturing Engineering, National University of SIngapore, Singapore)

$458.95

Paperback

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English

Academic Press Inc
17 March 2022

Other manufacturing technologies; Computer aided manufacture (CAM)

Digital Twin Driven Smart Service draws on the latest industry practice and research to explain how to implement digital twin service in a range of scenarios. It addresses relevant theory and methodologies including product service, prognostic health management service, energy efficient service and testing service. This is followed by detailed discussions of key enabling technologies supported by cutting-edge case studies of implementation. As a way to realize the interaction and integration of the physical world and cyber world, digital twins have attracted great attention from academic researchers and industrial users. The core idea of data + model = service continues to expand, and service plays an increasingly important role in production and manufacturing. With the help of data and models, a digital twin can simulate the behavior of physical entities, allowing a greatly increased capacity to observe, understand, optimize, and control objects in the physical world. This simulation technology can predict the future state of a product in the physical world, uncovering new avenues to improve product durability at an early design stage, and plan service schedules with unprecedented precision. In order to enable practitioners and researchers to fully grasp the digital twin driven service, this book elaborates on the development of service, as well as the scope of digital twin service. It explores the new and improved approaches of digital twin driven services, which lead to innovative solutions to important problems in product lifecycle management. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in product services, manufacturing services and digital twin services. This book is one part of a trilogy on digital twins, the other titles being Digital Twin Driven Smart Design and Digital Twin Driven Smart Manufacturing.

Edited by: Fei Tao (Professor School of Automation Science and Electrical Engineering Beihang University China), Qinling Qi, A.Y.C. Nee (Professor of Manufacturing Engineering, National University of SIngapore, Singapore)
Imprint: Academic Press Inc
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
ISBN: 9780323913003
ISBN 10: 0323913008
Pages: 300
Publication Date: 17 March 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

1. From Service to Digital Twin Service 2. Digital Twin Driven Complex Product Service 3. Digital Twin-Enhanced Product Family Design and Optimization Service 4. Digital Twin Driven Fault Diagnosis Service 5. Digital Twin Driven Energy Efficient Assessment Service 6. Digital Twin Driven Cutting Tool Service 7. Digital Twin Driven PHM for Key Coal Mine Equipment 8. Digital Twin Enhanced Tribological Testing Service 9. Digital Twin Standard Service

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. 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.

PERHAPS A GIFT VOUCHER FOR MUM?: MOTHER'S DAY

Digital Twin Driven Service

Fei Tao (Professor, School of Automation Science and Electrical Engineering, Beihang University, China), Qinling Qi, A.Y.C. Nee (Professor of Manufacturing Engineering, National University of SIngapore, Singapore)

$458.95

Paperback

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