A Learning Method for Automated Disassembly

A Learning Method for Automated Disassembly

Kategorien Konferenz (reviewed)
Jahr 2018
Autoren Wolff, J.; Kolditz, T.; Raatz, A.
Veröffentlicht in Ratchev S. (eds) Precision Assembly in the Digital Age. IPAS 2018. IFIP Advances in Information and Communication Technology, vol 530. Springer, Cham, pp. 63-71

While joining tolerances, and therefore forces, are known in the assembly process, the determination of disassembly forces is not possible. This is caused by changes of the product properties during the product operation, which has multiple reasons like thermal or mechanical stress on the product. Regarding the planning of disassembly tasks, disassembly times and tools cannot be planned properly. They have to be determined in the process or stay undefined, which can result in damaging of the product.

This article shows an approach to describe the necessary disassembly forces without having to investigate the complex physical influences caused by the usage of the product. To do so, a Learning Method is developed, which is sustained by a Lookup-Table for the estimation of disassembly forces based on basic input data like hours of operation and operating characteristics. Missing values will be interpolated by using multiple linear regression. The concept will be illustrated on the example of a turbine blade connection.

DOI 10.1007/978-3-030-05931-6_6