Skip to main navigation Skip to search Skip to main content

Experimental Validation Of A Solidification Model For Automated Disassembly

Richard Blümel*, Annika Raatz

*Corresponding author for this work

Research output: Contribution to conferencePaperResearchpeer review

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

UN Sustainable Development Goals (SDGs)

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

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

ASJC Scopus subject areas

  • Mechanical Engineering
  • Management of Technology and Innovation
  • Industrial and Manufacturing Engineering
  • Strategy and Management

Cite this