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Methodological approach for the development of an operator assistance system for the press shop

Kott, Matthäus ; Echler, Daniel ; Groche, Peter (2024)
Methodological approach for the development of an operator assistance system for the press shop.
In: The International Journal of Advanced Manufacturing Technology, 2022, 119 (3-4)
doi: 10.26083/tuprints-00023457
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Methodological approach for the development of an operator assistance system for the press shop
Language: English
Date: 5 March 2024
Place of Publication: Darmstadt
Year of primary publication: 2022
Place of primary publication: London
Publisher: Springer London
Journal or Publication Title: The International Journal of Advanced Manufacturing Technology
Volume of the journal: 119
Issue Number: 3-4
DOI: 10.26083/tuprints-00023457
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

The productivity of a deep drawing process strongly relies on its robustness as well as the experience of the machine operator. Steadily increasing requirements regarding weight, design and efficiency lead to a production operating increasingly closer to the process limits, making it more challenging to ensure a high robustness of the process. Minimal process fluctuations caused by disturbances such as varying material properties or changing tribological conditions may negatively affect the process due to deteriorated product properties as well as an increased risk of scrap. Thus, a target-oriented adjustment of available parameters by the machine operator becomes more difficult, and an increased knowledge about the causes of defects is more important. In the past, several approaches with different combinations of sensors and actuators have been investigated to enable a stable process window based on a control system. This paper presents a method to address the need for a more robust process by developing an operator assistance system that enables the identification of the component state and provides decision support to the machine operator. The methodological approach includes a thorough process analysis to evaluate the expediency of such a system and to make a reasonable preselection of sensors in order to avoid unnecessary costs.

Uncontrolled Keywords: Variant simulations, Sensitivity analysis, Neural networks, Decision-making, Assistance system
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-234572
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institute for Production Engineering and Forming Machines (PtU)
Date Deposited: 05 Mar 2024 12:59
Last Modified: 30 Apr 2024 07:07
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23457
PPN: 517328984
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