國立虎尾科技大學 |

Digital twin driven smart manufacturing /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Digital twin driven smart manufacturing // Fei Tao, Meng Zhang, A.Y.C. Nee.
Author:	Tao, Fei.
other author:	Zhang, Meng.
Published:	London, United Kingdom :Academic Press, : c2019.,
Description:	xi, 269 p. :ill. (chiefly col.) ; : 23 cm.;
Subject:	Manufacturing processes - Computer simulation. -
ISBN:	012817630X (pbk.)

Digital twin driven smart manufacturing /
Tao, Fei.

Digital twin driven smart manufacturing /Fei Tao, Meng Zhang, A.Y.C. Nee. - London, United Kingdom :Academic Press,c2019. - xi, 269 p. :ill. (chiefly col.) ;23 cm.

Includes bibliographical references and index.

Machine generated contents note: pt. 1 Background and Connotation -- 1.Background and Concept of Digital Twin -- 1.1.Background of the Development of Digital Twin -- 1.2.History of Digital Twin -- 1.3.Concept of Digital Twin -- 1.4.Digital Twin and Related Concepts -- 1.5.Value of Digital Twin -- 1.6.Summary -- References -- 2.Applications of Digital Twin -- 2.1.Digital Twin in Product Lifecycle -- 2.2.Digital Twin in Industrial Applications -- 2.3.Future Market for Digital Twin -- 2.4.Challenges of Digital Twin Applications -- 2.5.Summary -- References -- 3.Five-Dimension Digital Twin Modeling and Its Key Technologies -- 3.1.Traditional Three-Dimension Digital Twin -- 3.2.New Requirements on Digital Twin -- 3.3.Extended Five-Dimension Digital Twin -- 3.4.Application-Oriented Three-Level Digital Twins -- 3.5.Key Technologies for Digital Twin Modeling -- 3.6.Eight Rules for Digital Twin Modeling -- 3.7.Summary -- References -- pt. 2 Digital Twin Driven Smart Manufacturing -- 4.Digital Twin Shop-Floor -- 4.1.Evolution Path of Shop-Floor -- 4.2.Related Works -- 4.3.Concept of Digital Twin Shop-Floor -- 4.4.Implementation of Digital Twin Shop-Floor -- 4.5.Characteristics of Digital Twin Shop-Floor -- 4.6.Key Technologies for Digital Twin Shop-Floor -- 4.7.Challenges for Digital Twin Shop-Floor -- 4.8.Summary -- References -- 5.Equipment Energy Consumption Management in Digital Twin Shop-Floor -- 5.1.Introduction -- 5.2.Framework of EECM in Digital Twin Shop-Floor -- 5.3.Implementation of EECM in Digital Twin Shop-Floor -- 5.4.Potential Advantages of EECM in Digital Twin Shop-Floor -- 5.5.Summary -- References -- 6.Cyber--Physical Fusion in Digital Twin Shop-Floor -- 6.1.Introduction -- 6.2.Reference Architecture for Digital Twin Shop-Floor -- 6.3.Physical Elements Fusion -- 6.4.Models Fusion -- 6.5.Data Fusion -- 6.6.Services Fusion -- 6.7.Summary -- References -- 7.Digital Twin-Driven Prognostics and Health Management -- 7.1.Introduction -- 7.2.Digital Twin for Complex Equipment -- 7.3.Digital Twin-Driven PHM Method -- 7.4.Case Study -- 7.5.Summary -- References -- pt. 3 Digital Twin and New Technologies -- 8.Digital Twin and Cloud, Fog, Edge Computing -- 8.1.Introduction -- 8.2.Three-Level Digital Twins in Manufacturing -- 8.3.From Cloud Computing to Fog Computing and Edge Computing -- 8.4.Three-Level Digital Twins Based on Edge Computing, Fog Computing, and Cloud Computing -- 8.5.Summary -- References -- 9.Digital Twin and Big Data -- 9.1.Introduction -- 9.2.Big Data -- 9.3.Lifecycle of Big Data in Manufacturing -- 9.4.360℗ʻ Comparison of Digital Twin and Big Data in Manufacturing -- 9.5.Complementarity Between Big Data and Digital Twin -- 9.6.Fusion of Digital Twin and Big Data in Manufacturing -- 9.7.Summary -- References -- 10.Digital Twin and Services -- 10.1.Introduction -- 10.2.Services in Manufacturing -- 10.3.Services in Digital Twin -- 10.4.Digital Twin Service Generation -- 10.5.Digital Twin Service Management -- 10.6.Digital Twin Service Application -- 10.7.Summary -- References -- 11.Digital Twin and Virtual Reality and Augmented Reality/Mixed Reality -- 11.1.Introduction -- 11.2.VR in Design, Manufacturing, and Service -- 11.3.AR in Design, Manufacturing, and Service -- 11.4.Comparison Between VR and AR -- 11.5.Digital Twin and VR and AR -- 11.6.Digital Twin-Driven Assembly Combining VR and AR -- 11.7.Summary -- References -- 12.Digital Twin, Cyber--Physical System, and Internet of Things -- 12.1.Introduction -- 12.2.CPS in Manufacturing -- 12.3.IoT in Manufacturing -- 12.4.Digital Twin and CPS -- 12.5.IoT in Digital Twin-Based CPS -- 12.6.Summary -- References.

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.

ISBN: 012817630X (pbk.)

Nat. Bib. No.: GBB936316bnbSubjects--Topical Terms:

561699
Manufacturing processes
--Computer simulation.

LC Class. No.: TS183 / .T36 2019

Dewey Class. No.: 670.285

Digital twin driven smart manufacturing /
LDR:05572cam a2200241 a 4500 001 951187
005 20200728145104.0
008 200821s2019 enka b 001 0 eng d
015 $a GBB936316 $2 bnb
020 $a 012817630X (pbk.)
020 $a 9780128176306 (pbk.) : $c NT7400
020 $a 9780128176313 (ebk.)
035 $a (OCoLC)1044835475
035 $a a26403131
040 $a YDX $b eng $c YDX $d OCLCQ $d UKMGB $d OCLCF $d OCLCO $d YDXIT $d UPM $d NhCcYME $d UtOrBLW $d NFU
041 0 # $a eng
050 # 4 $a TS183 $b .T36 2019
082 0 4 $a 670.285 $2 23
100 1 $a Tao, Fei. $3 1062442
245 1 0 $a Digital twin driven smart manufacturing / $c Fei Tao, Meng Zhang, A.Y.C. Nee.
260 # $a London, United Kingdom : $b Academic Press, $c c2019.
300 $a xi, 269 p. : $b ill. (chiefly col.) ; $c 23 cm.
504 $a Includes bibliographical references and index.
505 0 # $a Machine generated contents note: pt. 1 Background and Connotation -- 1.Background and Concept of Digital Twin -- 1.1.Background of the Development of Digital Twin -- 1.2.History of Digital Twin -- 1.3.Concept of Digital Twin -- 1.4.Digital Twin and Related Concepts -- 1.5.Value of Digital Twin -- 1.6.Summary -- References -- 2.Applications of Digital Twin -- 2.1.Digital Twin in Product Lifecycle -- 2.2.Digital Twin in Industrial Applications -- 2.3.Future Market for Digital Twin -- 2.4.Challenges of Digital Twin Applications -- 2.5.Summary -- References -- 3.Five-Dimension Digital Twin Modeling and Its Key Technologies -- 3.1.Traditional Three-Dimension Digital Twin -- 3.2.New Requirements on Digital Twin -- 3.3.Extended Five-Dimension Digital Twin -- 3.4.Application-Oriented Three-Level Digital Twins -- 3.5.Key Technologies for Digital Twin Modeling -- 3.6.Eight Rules for Digital Twin Modeling -- 3.7.Summary -- References -- pt. 2 Digital Twin Driven Smart Manufacturing -- 4.Digital Twin Shop-Floor -- 4.1.Evolution Path of Shop-Floor -- 4.2.Related Works -- 4.3.Concept of Digital Twin Shop-Floor -- 4.4.Implementation of Digital Twin Shop-Floor -- 4.5.Characteristics of Digital Twin Shop-Floor -- 4.6.Key Technologies for Digital Twin Shop-Floor -- 4.7.Challenges for Digital Twin Shop-Floor -- 4.8.Summary -- References -- 5.Equipment Energy Consumption Management in Digital Twin Shop-Floor -- 5.1.Introduction -- 5.2.Framework of EECM in Digital Twin Shop-Floor -- 5.3.Implementation of EECM in Digital Twin Shop-Floor -- 5.4.Potential Advantages of EECM in Digital Twin Shop-Floor -- 5.5.Summary -- References -- 6.Cyber--Physical Fusion in Digital Twin Shop-Floor -- 6.1.Introduction -- 6.2.Reference Architecture for Digital Twin Shop-Floor -- 6.3.Physical Elements Fusion -- 6.4.Models Fusion -- 6.5.Data Fusion -- 6.6.Services Fusion -- 6.7.Summary -- References -- 7.Digital Twin-Driven Prognostics and Health Management -- 7.1.Introduction -- 7.2.Digital Twin for Complex Equipment -- 7.3.Digital Twin-Driven PHM Method -- 7.4.Case Study -- 7.5.Summary -- References -- pt. 3 Digital Twin and New Technologies -- 8.Digital Twin and Cloud, Fog, Edge Computing -- 8.1.Introduction -- 8.2.Three-Level Digital Twins in Manufacturing -- 8.3.From Cloud Computing to Fog Computing and Edge Computing -- 8.4.Three-Level Digital Twins Based on Edge Computing, Fog Computing, and Cloud Computing -- 8.5.Summary -- References -- 9.Digital Twin and Big Data -- 9.1.Introduction -- 9.2.Big Data -- 9.3.Lifecycle of Big Data in Manufacturing -- 9.4.360℗ʻ Comparison of Digital Twin and Big Data in Manufacturing -- 9.5.Complementarity Between Big Data and Digital Twin -- 9.6.Fusion of Digital Twin and Big Data in Manufacturing -- 9.7.Summary -- References -- 10.Digital Twin and Services -- 10.1.Introduction -- 10.2.Services in Manufacturing -- 10.3.Services in Digital Twin -- 10.4.Digital Twin Service Generation -- 10.5.Digital Twin Service Management -- 10.6.Digital Twin Service Application -- 10.7.Summary -- References -- 11.Digital Twin and Virtual Reality and Augmented Reality/Mixed Reality -- 11.1.Introduction -- 11.2.VR in Design, Manufacturing, and Service -- 11.3.AR in Design, Manufacturing, and Service -- 11.4.Comparison Between VR and AR -- 11.5.Digital Twin and VR and AR -- 11.6.Digital Twin-Driven Assembly Combining VR and AR -- 11.7.Summary -- References -- 12.Digital Twin, Cyber--Physical System, and Internet of Things -- 12.1.Introduction -- 12.2.CPS in Manufacturing -- 12.3.IoT in Manufacturing -- 12.4.Digital Twin and CPS -- 12.5.IoT in Digital Twin-Based CPS -- 12.6.Summary -- References.
520 # $a 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.
650 # 0 $a Manufacturing processes $x Computer simulation. $3 561699
650 # 0 $a Manufacturing processes $x Automation. $3 557423
650 # 0 $a Virtual computer systems. $3 596924
650 # 0 $a Digital control systems. $3 555947
700 1 # $a Zhang, Meng. $3 845462
700 1 # $a Nee, A. Y. C. $q (Andrew Yeh Chris), $d 1948- $3 777309