Potential of part quality monitoring for deep drawing processes by integrating sensors into drawbeads
Papdo Tchasse, David Briesenick, Kim Rouven Riedmüller, Mathias Liewald
Abstract. The sheet metal material flow in deep drawing is the result of the prevailing blank restraining forces that occur due to frictional interactions between the workpiece and the active tool components. Therefore, monitoring the restraining forces during deep drawing is an indirect way of recording the material flow and thus the performance of the ongoing sheet metal forming operation. A common tool adjustment that is frequently implemented in industrial applications for controlling the material flow during deep drawing is the integration of drawbeads. While the effect of such drawbeads can be modelled numerically, it is still a great challenge to track and thus verify the acting restraining forces experimentally. Against this background, this paper deals with novel sensor concepts for drawbeads to online monitor the restraining forces acting on the sheet metal material and thus determine the quality of the deep drawn part. For this study, two monitoring methods were evaluated, considering two types of sensors that can be integrated into drawbeads, namely fibre Bragg grating and thin film sensors. For both types of sensors, the operating principle was numerically simulated. Furthermore, the application of FBG was experimentally investigated. In conclusion, the numerical results highlight the promising potential of integrating FBG and thin-film sensors. While the FBG setup showed a minor correlation with part defects, further work is needed to resolve uncertainties in sensor integration and bonding.
Keywords
Deep Drawing, In-Process Measurement, Drawbead
Published online 4/1/2025, 8 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Papdo Tchasse, David Briesenick, Kim Rouven Riedmüller, Mathias Liewald, Potential of part quality monitoring for deep drawing processes by integrating sensors into drawbeads, Materials Research Proceedings, Vol. 52, pp 27-34, 2025
DOI: https://doi.org/10.21741/9781644903551-4
The article was published as article 4 of the book Sheet Metal 2025
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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