Experimental Validation Of A Solidification Model For Automated Disassembly

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Bluemel, R.; Raatz, A.: Experimental Validation Of A Solidification Model For Automated Disassembly. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics : CPSL 2021. Hannover : publish-Ing., 2021, S. 339-348. DOI: https://doi.org/10.15488/11250

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Disassembly is a crucial step towards sustainable life cycle engineering. During the operation, assemblyconnections solidify to an unknown state, e.g. due to thermal or mechanical stress on the product. Therefore,disassembly forces are hard to predict. With regard to automated disassembly, this complicates the properplanning of disassembly times and tools. The uncertainties can lead to damage or destruction of the product,impeding regeneration. To tackle these problems, in earlier work, we proposed a solidification model, whichenables planners to predict disassembly forces based on the products geometric properties and operationalhistory without investigating the complex physical influences caused by the usage of the product. Thedisassembly of high-value capital goods like aircraft engines, in particular blade-disk connections, serves asan application case. Still, we were not yet able to validate the solidification model due to the lack ofexperimental reproducibility. In this work, we adapt the existing model of a solidified assembly connectioncreated in prior work with an additional clamping force. The additional force aims to represent thesolidification force. This can significantly increase reproducibility and reduce disturbances.
License of this version: CC BY 3.0 DE
Document Type: bookPart
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Proceedings CPSL 2021
Proceedings CPSL 2021

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pos. country downloads
total perc.
1 image of flag of Germany Germany 56 76.71%
2 image of flag of United States United States 7 9.59%
3 image of flag of Russian Federation Russian Federation 2 2.74%
4 image of flag of Poland Poland 2 2.74%
5 image of flag of China China 2 2.74%
6 image of flag of Sweden Sweden 1 1.37%
7 image of flag of United Kingdom United Kingdom 1 1.37%
8 image of flag of Czech Republic Czech Republic 1 1.37%
9 image of flag of Canada Canada 1 1.37%

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