Sensor integration for process control in deep drawing

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Sensor integration for process control in deep drawing

JUNG Robert Oliver, SEPER Christoph, JURICEK Christian, BLEICHER Friedrich

Abstract. In the context of increasing resource efficiency and profitability, deep drawing can be improved using a digital twin and closed-loop process control. Cyber-physical production systems (CPPS) enable data capture and analysis for an autonomous optimization of the manufacturing process. In this work reference sensor signals are used to control the force and material flow with hydraulic actuators between the blank holder and the die. A novel model-based optimization method is proposed to determine the best sensor location, allowing for standardized evaluation and reduced integration time. FE simulations and forming trials are conducted for validation. The findings indicate time and resource savings through an efficient sensor implementation in deep drawing tools for process control.

Keywords
Sheet Metal Forming, Deep Drawing, Control, Sensor Integration

Published online 4/24/2024, 9 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: JUNG Robert Oliver, SEPER Christoph, JURICEK Christian, BLEICHER Friedrich, Sensor integration for process control in deep drawing, Materials Research Proceedings, Vol. 41, pp 1399-1407, 2024

DOI: https://doi.org/10.21741/9781644903131-155

The article was published as article 155 of the book Material Forming

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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