Tolerance analysis of planar parts with skin modeling considering spatial distribution characteristics of surface morphology and local surface deformations
ISSN: 0144-5154
Article publication date: 10 November 2022
Issue publication date: 6 December 2022
Abstract
Purpose
This paper aims to develop a method to improve the accuracy of tolerance analysis considering the spatial distribution characteristics of part surface morphology (SDCPSM) and local surface deformations (LSD) of planar mating surfaces during the assembly process.
Design/methodology/approach
First, this paper proposes a skin modeling method considering SDCPSM based on Non-Gaussian random field. Second, based on the skin model shapes, an improved boundary element method is adopted to solve LSD of nonideal planar mating surfaces, and the progressive contact method is adopted to obtain relative positioning deviation of mating surfaces. Finally, the case study is given to verify the proposed approach.
Findings
Through the case study, the results show that different SDCPSM have different influences on tolerance analysis, and LSD have nonnegligible and different influence on tolerance analysis considering different SDCPSM. In addition, the LSD have a greater influence on translational deviation along the z-axis than rotational deviation around the x- and y-axes.
Originality/value
The surface morphology with different spatial distribution characteristics leads to different contact behavior of planar mating surfaces, especially when considering the LSD of mating surfaces during the assembly process, which will have further influence on tolerance analysis. To address the above problem, this paper proposes a tolerance analysis method with skin modeling considering SDCPSM and LSD of mating surfaces, which can help to improve the accuracy of tolerance analysis.
Keywords
Citation
Shen, T.-H. and Lu, C. (2022), "Tolerance analysis of planar parts with skin modeling considering spatial distribution characteristics of surface morphology and local surface deformations", Assembly Automation, Vol. 42 No. 6, pp. 817-834. https://doi.org/10.1108/AA-07-2022-0198
Publisher
:Emerald Publishing Limited
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