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Open AccessArticle

A Hybrid Data-Based and Model-Based Approach to Process Monitoring and Control in Sheet Metal Forming

Department of Mechanical Engineering, Blekinge Institute of Technology, Valhallavägen, 371 41 Karlskrona, Sweden
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Processes 2020, 8(1), 89; https://doi.org/10.3390/pr8010089 (registering DOI)
Received: 17 December 2019 / Revised: 31 December 2019 / Accepted: 7 January 2020 / Published: 9 January 2020
(This article belongs to the Special Issue Industry 4.0 and Sustainable Supply Chain Management)
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. View Full-Text
Keywords: in-line measurement data; modelling and simulation; product quality; process performance; process monitoring and control; Industry 4.0; sheet metal forming in-line measurement data; modelling and simulation; product quality; process performance; process monitoring and control; Industry 4.0; sheet metal forming
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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. Processes 2020, 8, 89.

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