Experimental Validation Of A Solidification Model For Automated Disassembly

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Translated title of the contributionExperimentelle Validierung eines Verfestigungsmodells für die automatisierte Demontage
Original languageEnglish
Pages339-348
Number of pages10
Publication statusPublished - 2021

Abstract

Disassembly is a crucial step towards sustainable life cycle engineering. During the operation, assembly connections 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 proper planning 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, which enables planners to predict disassembly forces based on the products geometric properties and operational history without investigating the complex physical influences caused by the usage of the product. The disassembly of high-value capital goods like aircraft engines, in particular blade-disk connections, serves as an application case. Still, we were not yet able to validate the solidification model due to the lack of experimental reproducibility. In this work, we adapt the existing model of a solidified assembly connection created in prior work with an additional clamping force. The additional force aims to represent the solidification force. This can significantly increase reproducibility and reduce disturbances.

Keywords

    Disassembly, Regeneration, Turbine Blade, Design of Experiments, Regression Model, Turbine Blades

ASJC Scopus subject areas

Sustainable Development Goals

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Experimental Validation Of A Solidification Model For Automated Disassembly. / Blümel, Richard; Raatz, Annika.
2021. 339-348.

Research output: Contribution to conferencePaperResearchpeer review

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title = "Experimental Validation Of A Solidification Model For Automated Disassembly",
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keywords = "Demontage, Regeneration, Turbinen Schaufeln, Statistische Versuchsplanung, Regressions Modell, Disassembly, Regeneration, Turbine Blade, Design of Experiments, Regression Model, Turbine Blades",
author = "Richard Bl{\"u}mel and Annika Raatz",
note = "Funding Information: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 871/3 – 119193472",
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AU - Raatz, Annika

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KW - Demontage

KW - Regeneration

KW - Turbinen Schaufeln

KW - Statistische Versuchsplanung

KW - Regressions Modell

KW - Disassembly

KW - Regeneration

KW - Turbine Blade

KW - Design of Experiments

KW - Regression Model

KW - Turbine Blades

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