Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (2): 377-383.doi: 10.13229/j.cnki.jdxbgxb20211088

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Reliability prediction method of machining precision of machine tool parts based on fuzzy coupling

Xin-tian LIU1(),Mu-zhou MA1,Jia-long HE2   

  1. 1.School of Mechanical and Automotive Engineering，Shanghai University of Engineering Science，Shanghai 201620，China
    2.College of Mechanical and Aerospace，Jilin University，Changchun 130022，China
  • Received:2021-10-22 Online:2022-02-01 Published:2022-02-17

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Abstract:

Based on the consideration of the tool error and its dimensional error， the dimensional accuracy prediction of the processed parts does not meet the actual use requirements， and a membership function model that couples fuzzy intervals and fuzzy weights is proposed. This model takes into account the fact that the proportion of various influencing factors in the processing process is not fixed， and it also dynamically characterizes the changes in the contribution of various influencing factors in the processing process. In addition， considering that the size of the actual part processing size is mostly fuzzy value， this paper regards the part size as a possibility distribution and constructs a new reliability prediction model combined with the fuzzy membership function. After comparing the predicted value with the experimental data， it is found that the accuracy of the reliability analysis of the machining accuracy has been significantly improved.

Key words: fuzzy interval coupling, fuzzy weights, dynamic weights, fuzzy reliability prediction

CLC Number: 

  • U463.53

Fig.1

Tool error"

Fig.2

Rotation error"

Table 1

Tool and rotation error reference table"

主参数公差值/μm
6789101112
>50~12015254080150250500
>120~250203050100200300600

Table 2

Part estimation interval table"

可能尺寸范围/mm
（149.0 150.2）（149.2 150.3）（149.5 150.1）
（149.6 150.2）（149.6 150.1）（149.7 150.1）
（149.8 150.1）（149.7 150.1）（149.8 150.3）
（149.9 150.0）

Table 3

Part estimation interval table"

x/mmμA
49.98000.9829
149.99000.9735
150.00000.9556
150.01000.9413
150.02000.9166
150.03000.8981

Fig.3

Comparison chart of error and tolerance affiliation functions"

Fig.4

Fuzzy weight affiliation function"

Fig.5

Comparison chart of unimproved and improved algorithms"

Fig.6

Histogram and fitted distribution of reliability"

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