Precision Assembly Oriented Method to Determine the Evaluation Parameters for Surface Form Error

Hong Li Fan, Shao Wei Guo, Fa Ping Zhang, Ti Guang Zhang, Ge Wang, Yan Yan

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The traditional form error evaluation methods, based on the principles of a minimum tolerance, are inadequate to quantitatively describe the vital influence of the distribution of the surface form error on the assembly precision. In this paper, a method was proposed to determine the potential evaluation parameters of surface form error for assembly precision. Firstly, non-Gaussian surface construction was used to simulate machining surface, and wavelet analysis with the selected base function was used to obtain the surface form error. The input parameters of non Gauss simulation were determined by analyzing the test parameters of the “real machined surface”, and the candidate parameters characterizing the surface form error distribution were selected. Then the virtual assembly of the filtered surface with ideal smooth surface was conducted, hence the ideal surface spatial location was calculated. The relationship between the surface parameters and the second surface spatial location was established by correlation analysis to determine the form error evaluation parameters with a certain criteria. Finally a case was used to verify the feasibility proposed method. The method can provide a scientific basis for optimizing the assembly process to improve assembly precision.

Original languageEnglish
Pages (from-to)677-681
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume37
Issue number7
DOIs
Publication statusPublished - 1 Jul 2017

Keywords

  • Assembly precision
  • Evaluation parameters
  • Geometric error
  • Related analysis

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Fan, H. L., Guo, S. W., Zhang, F. P., Zhang, T. G., Wang, G., & Yan, Y. (2017). Precision Assembly Oriented Method to Determine the Evaluation Parameters for Surface Form Error. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 37(7), 677-681. https://doi.org/10.15918/j.tbit1001-0645.2017.07.004