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Deep learning enhanced digital twin for Closed-Loop In-Process quality improvement
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Franciosa, Pasquale, Sokolov, Mikhail, Sinha, Sumit, Sun, Tianzhu and Ceglarek, Dariusz (2020) Deep learning enhanced digital twin for Closed-Loop In-Process quality improvement. CIRP Annals - Manufacturing Technology, 69 (1). pp. 369-372. doi:10.1016/j.cirp.2020.04.110 ISSN 0007-8506.
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Official URL: https://doi.org/10.1016/j.cirp.2020.04.110
Abstract
A digital twin framework is presented for assembly systems with compliant parts fusing sensors with deep learning and CAE simulations. Its underlying concept, ‘process capability space,’ updates iteratively during evolving tasks of new product introduction with resulting model fidelity able to simulate dimensional, geometric and weld quality of parts and assemblies; isolate root causes of quality defects; and, suggest corrective actions for automatic defects mitigation; thereby, enabling ‘Closed-Loop In-Process (CLIP) quality improvement’ during assembly system development. Results, using the first fully digitally developed remote laser welding process for aluminium doors, yielded a right-first-time rate of >96% for door assembly cell development.
| Item Type: | Journal Article | ||||||||
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| Subjects: | T Technology > T Technology (General) | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Library of Congress Subject Headings (LCSH): | Computer integrated manufacturing systems, Manufacturing processes -- Computer programs, Information modeling, Production management -- Data processing, Manufacturing industries -- Technological innovations | ||||||||
| Journal or Publication Title: | CIRP Annals - Manufacturing Technology | ||||||||
| Publisher: | Elsevier BV | ||||||||
| ISSN: | 0007-8506 | ||||||||
| Official Date: | 2020 | ||||||||
| Dates: |
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| Volume: | 69 | ||||||||
| Number: | 1 | ||||||||
| Page Range: | pp. 369-372 | ||||||||
| DOI: | 10.1016/j.cirp.2020.04.110 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 1 May 2020 | ||||||||
| Date of first compliant Open Access: | 17 December 2021 | ||||||||
| RIOXX Funder/Project Grant: |
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