LAPSE:2020.0149
Published Article
LAPSE:2020.0149
A Hybrid Data-Based and Model-Based Approach to Process Monitoring and Control in Sheet Metal Forming
February 3, 2020
The ability to predict and control the outcome of the sheet metal forming process demands holistic knowledge of the product/process parameter influences and their contribution in shaping the output product quality. Recent improvements in the ability to harvest in-line production data and the increased capability to understand complex process behaviour through computer simulations open up the possibility for new approaches to monitor and control production process performance and output product quality. This research presents an overview of the common process monitoring and control approaches while highlighting their limitations in handling the dynamics of the sheet metal forming process. The current paper envisions the need for a collaborative monitoring and control system for enhancing production process performance. Such a system must incorporate comprehensive knowledge regarding process behaviour and parameter influences in addition to the current-system-state derived using in-line production data to function effectively. Accordingly, a framework for monitoring and control within automotive sheet metal forming is proposed. The framework addresses the current limitations through the use of real-time production data and reduced process models. Lastly, the significance of the presented framework in transitioning to the digital manufacturing paradigm is reflected upon.
Keywords
in-line measurement data, Industry 4.0, modelling and simulation, process monitoring and control, process performance, product quality, sheet metal forming
Suggested Citation
Tatipala S, Wall J, Johansson C, Larsson T. A Hybrid Data-Based and Model-Based Approach to Process Monitoring and Control in Sheet Metal Forming. (2020). LAPSE:2020.0149
Author Affiliations
Tatipala S: Department of Mechanical Engineering, Blekinge Institute of Technology, Valhallavägen, 371 41 Karlskrona, Sweden [ORCID]
Wall J: Department of Mechanical Engineering, Blekinge Institute of Technology, Valhallavägen, 371 41 Karlskrona, Sweden [ORCID]
Johansson C: Department of Mechanical Engineering, Blekinge Institute of Technology, Valhallavägen, 371 41 Karlskrona, Sweden
Larsson T: Department of Mechanical Engineering, Blekinge Institute of Technology, Valhallavägen, 371 41 Karlskrona, Sweden [ORCID]
Journal Name
Processes
Volume
8
Issue
1
Article Number
E89
Year
2020
Publication Date
2020-01-09
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8010089, Publication Type: Journal Article
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LAPSE:2020.0149
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doi:10.3390/pr8010089
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Feb 3, 2020
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CC BY 4.0
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Feb 3, 2020
 
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Feb 3, 2020
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Original Submitter
Calvin Tsay
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