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Integration of geometric variation and part deformation into variation propagation of 3-D assemblies

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  • Junkang Guo
  • Baotong Li
  • Zhigang Liu
  • Jun Hong
  • Xiaopan Wu

Abstract

This paper introduces a novel modelling method for variation propagation calculation of 3-D assemblies taking into account geometric variation and part deformation, which are neglected in most models in tolerance analysis. Initially, numerical studies are carried out in order to illustrate the characteristics of strain distribution in components and contact forces on the mating surfaces of a 3-D assembly. According to these characteristics, a linear equivalent model using springs to represent the elastic mating surfaces with geometric variation was presented. Then, the equilibrium criterions corresponding to actual contact situations and iterative searching algorithm of the equilibrium status of contacting were developed. The proposed modelling and calculation method were finally applied to the assembly of two machined parts, on which finite-element analyses and experimental tests were conducted to validate the effectiveness and accuracy. This linear contact model also shows an important advantage on modelling and calculating efficiency, which enable the practical application to variation propagation calculation in both tolerance design and assembly process.

Suggested Citation

  • Junkang Guo & Baotong Li & Zhigang Liu & Jun Hong & Xiaopan Wu, 2016. "Integration of geometric variation and part deformation into variation propagation of 3-D assemblies," International Journal of Production Research, Taylor & Francis Journals, vol. 54(19), pages 5708-5721, October.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:19:p:5708-5721
    DOI: 10.1080/00207543.2016.1158881
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    Cited by:

    1. Filmon Yacob & Daniel Semere, 2021. "A multilayer shallow learning approach to variation prediction and variation source identification in multistage machining processes," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1173-1187, April.

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