Top

Hint

Swipe to navigate through the chapters of this book

Published in:

Read chapter Read first chapter

2022 | OriginalPaper | Chapter

7. Digital Twin Application

Authors : Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Published in: Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing

Publisher: Springer International Publishing

Abstract

This chapter introduces the concept of digital twin in details. The explanations given in Chap. 1 about building a digital twin model are revisited and the ideas are elaborated. Digital twins proposed in different routes of manufacturing are also discussed.

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

inform now

previous chapter Artificial Intelligence and Machine Learning in Manufacturing

Tuegel EJ (2012) The airframe digital twin : some challenges to realization, pp 1–8

Roy RB, Mishra D, Pal SK et al (2020) Digital twin: current scenario and a case study on a manufacturing process. Int J Adv Manuf Technol 107:3691–3714. https://doi.org/10.1007/s00170-020-05306-w CrossRef

Haag S, Anderl R (2018) Digital twin—Proof of concept. Manuf Lett 15:64–66. https://doi.org/10.1016/j.mfglet.2018.02.006 CrossRef

Glaessgen E, Stargel D (2012) The digital twin paradigm for future NASA and U.S. air force vehicles. In: 53rd AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics and materials conference 20th AIAA/ASME/AHS adaptive structures conference 14th AIAA, pp 1–14. https://doi.org/10.2514/6.2012-1818

Cao H, Folan P (2012) Product life cycle: the evolution of a paradigm and literature review from 1950 to 2009. Prod Plan Control 23:641–662. https://doi.org/10.1080/09537287.2011.577460 CrossRef

Tao F, Sui F, Liu A et al (2019) Digital twin-driven product design framework. Int J Prod Res 57:3935–3953. https://doi.org/10.1080/00207543.2018.1443229 CrossRef

Qi Q, Tao F (2018) Digital twin and big data towards smart manufacturing and Industry 4.0: 36° comparison. IEEE Access 6:3585–3593. https://doi.org/10.1109/ACCESS.2018.2793265 CrossRef

Xiang F, Zhi Z, Jiang G (2018) Digital Twins technology and its data fusion in iron and steel product life cycle. In: 2018 IEEE 15th international conference on networking, sensing and control

Zhang W, Welding simulation & digital twins. https://www.swantec.com/welding-simulation-digital-twins/. Accessed 20 May 2020

10.

Mishra D, Pal SK, Chakravarty D (2021) Industry 4.0 in welding, pp 253–298

11.

Tao F, Zhang M, Liu Y, Nee AYC (2018) Digital twin driven prognostics and health management for complex equipment. CIRP Ann 67:169–172. https://doi.org/10.1016/j.cirp.2018.04.055 CrossRef

12.

He Y, Guo J, Zheng X (2018) From surveillance to digital twin: challenges and recent advances of signal processing for industrial internet of things. IEEE Signal Process Mag 35:120–129. https://doi.org/10.1109/MSP.2018.2842228 CrossRef

13.

Zhang H, Liu Q, Chen X, et al (2017) A digital twin-based approach for designing and decoupling of hollow glass production line. IEEE Access 1–1. https://doi.org/10.1109/ACCESS.2017.2766453

14.

Mishra D, Pal SK, Gupta A, et al (2020) A system for real time monitoring, prediction and control of weld quality in friction stir welding (Filed)

15.

Pal SK, Roy RB, Singh AK, et al (2018) Cloud based remote manufacturing with machine learning based real time control (Filed)

16.

Mishra D, Roy RB, Dutta S et al (2018) A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0. J Manuf Process 36:373–397. https://doi.org/10.1016/j.jmapro.2018.10.016 CrossRef

17.

Mishra D, Sahu SK, Mahto RP, et al (2019) Friction stir welding for joining of polymers. Springer Singapore, pp 123–162

18.

Pal SK, Khan AR, Ranjan R, et al (2018) Real time surface defect analysis and correction in friction stir welding process by image processing

19.

Induction motor in 2D, COMSOL. https://www.comsol.co.in/model/induction-motor-in-2d-14487

Title: Digital Twin Application
Authors: Surjya Kanta Pal
Debasish Mishra
Arpan Pal
Samik Dutta
Debashish Chakravarty
Srikanta Pal
Publisher: Springer International Publishing
Book: Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing
Print ISBN: 978-3-030-81814-2

Electronic ISBN: 978-3-030-81815-9

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-81815-9_7

Springer Professional

Hint

Swipe to navigate through the chapters of this book

Abstract

Please log in to get access to this content

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partners