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On the digital twin application and the role of artificial intelligence in additive manufacturing: a systematic review
Citation Link: https://doi.org/10.15480/882.3548
Publikationstyp
Journal Article
Date Issued
2021-04-21
Sprache
English
Institut
TORE-DOI
TORE-URI
Journal
Volume
4
Issue
3
Article Number
032005
Citation
JPhys Materials 4 (3): 032005 (2021-07-01)
Publisher DOI
Scopus ID
Publisher
IOP Publishing
Additive manufacturing (AM) as a highly digitalized manufacturing technology is capable of the implementation of the concept of the digital twin (DT), which promises highly automated and optimized part production. Since the DT is a quite novel concept requiring a wide framework of various technologies, it is not state of the art yet, though. Especially the combination with artificial intelligence (AI) methods is still challenging. Applying the methodology of the systematic review, the state of the art regarding the DT in AM with emphasis of required technologies and current challenges is assessed. Furthermore, the topic of AI is investigated focusing the main applications in AM as well as the possibility to integrate today's approaches into a DT environment.
Subjects
additive manufacturing
artificial intelligence
digital twin
quality assurance
DDC Class
600: Technik
More Funding Information
The authors would like to thank the German Federal Ministry for Economic Affairs and Energy for the financial support (funding code 20W1714B). Futhermore, funding by Fraunhofer by the project 809306 FutureAM as well as the project 682002 RESYST is gratefully acknowledged.
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