Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (2): 345-352.doi: 10.13229/j.cnki.jdxbgxb20211101

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Application of improved failure mode and effect analysis method in risk analysis of spindle system of machining center

Hai-ji YANG1,2(),Jia-long HE1,2,Guo-fa LI1,2(),Li-ding WANG1,2,Si-yuan WANG3   

  1. 1.Key Laboratory of CNC Equipment Reliability，Ministry of Education，Jilin University，Changchun 130022，China
    2.College of Mechanical and Aerospace Engineering，Jilin University，Changchun 130022，China
    3.Ansteel Mining Blasting Co. ，Ltd. ，Anshan 114051，China
  • Received:2021-10-23 Online:2022-02-01 Published:2022-02-17
  • Contact: Guo-fa LI E-mail:15444936@qq.com;ligf@jlu.edu.cn

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Abstract:

In order to solve the shortcomings of traditional failure mode and effect analysis（FMEA）， an improved FMEA method based on interval triangular fuzzy number and grey correlation analysis method is proposed and applied to the risk analysis of spindle system of machining center. Firstly， interval-triangular fuzzy numbers are used to evaluate the level of failure modes and the relative importance of risk factors. Secondly， the weight of risk factors is calculated by fuzzy AHP. Finally， the failure modes are sorted by GRA method. The example results show that FM2（oil leakage） is the failure mode with the highest risk priority. Compared with the other two schemes， this method can sort the failure modes more effectively and reasonably.

Key words: machining center, failure mode and effects analysis, fuzzy AHP, grey relational analysis

CLC Number: 

  • TG659

Fig.1

Interval-triangular fuzzy number"

Fig.2

Flow of proposed method"

Table 1

Comprehensive evaluation results of failure modes"

失效模式风险因子
OSD
FM1［（4.9，5.15）；5.4；（5.65，5.85）］［（6.3，6.6）；6.8；（7.05，7.25）］［（4.2，4.47）；4.7；（4.95，5.17）］
FM2［（8.02，8.36）；8.65；（8.87，9.09）］［（7.7，7.96）；8.2；（8.45，8.65）］［（6.35，6.59）；6.85；（7.05，7.25）］
FM3［（7.23，7.51）；7.75；（7.95，8.22）］［（7.33，7.6）；7.83；（8.06，8.26）］［（7.33，7.3）；7.9；（8.12，8.32）］
FM4［（7.9，8.22）；8.5；（8.72，8.92）］［（8.02，8.29）；8.55；（8.84，9.04）］［（7.28，7.55）；7.75；（7.97，8.17）］
FM5［（4.75，5.02）；5.25；（5.48，5.72）］［（6.35，6.65）；6.85；（7.1，7.32）］［（5.05，5.29）；5.55；（5.77，5.99）］
FM6［（2.53，2.81）；3.03；（3.28，3.49）］［（6.63，6.91）；7.13；（7.38，7.61）］［（6.8，7.05）；7.3；（7.55，7.75）］
FM7［（4.21，4.47）；4.78；（5.01，5.24）］［（5.43，5.71）；5.93；（6.16，6.41）］［（6.99，7.22）；7.55；（7.75，7.95）］
FM8［（6.95，7.22）；7.45；（7.72，7.92）］［（6.14，6.34）；6.68；（6.88，7.11）］［（6.3，6.57）；6.8；（7.07，7.3）］
FM9［（5.09，5.37）；5.63；（5.83，6.11）］［（4.45，4.75）；4.95；（5.2，5.45）］［（5.4，5.68）；5.9；（6.13，6.4）］
FM10［（4.67，4.92）；5.2；（5.43，5.65）］［（6.5，6.75）；7；（7.22，7.42）］［（3.88，4.16）；4.38；（4.64，4.88）］

Table 2

Normalized decision matrix"

失效

模式

风险因子
OSD
FM1［（0.539，0.567）；0.594；（0.622，0.644）］［（0.697，0.73）；0.752；（0.779，0.801）］［（0.505，0.537）；0.565；（0.597，0.621）］
FM2［（0.869，0.904）；0.935；（0.959，0.981）］［（0.887，0.917）；0.946；（0.977，1）］［（0.875，0.907）；0.931；（0.957，0.981）］
FM3［（0.795，0.826）；0.853；（0.875，0.904）］［（0.81，0.84）；0.866；（0.892，0.914）］［（0.881，0.913）；0.95；（0.976，1）］
FM4［（0.882，0.919）；0.952；（0.975，1）］［（0.852，0.88）；0.907；（0.935，0.957）］［（0.763，0.791）；0.823；（0.847，0.871）］
FM5［（0.523，0.552）；0.578；（0.603，0.629）］［（0.702，0.736）；0.758；（0.785，0.809）］［（0.607，0.635）；0.667；（0.693，0.719）］
FM6［（0.278，0.309）；0.333；（0.36，0.384）］［（0.733，0.764）；0.788；（0.816，0.842）］［（0.817，0.847）；0.877；（0.907，0.931）］
FM7［（0.463，0.492）；0.525；（0.551，0.576）］［（0.6，0.632）；0.655；（0.681，0.709）］［（0.84，0.868）；0.907；（0.931，0.956）］
FM8［（0.765，0.794）；0.82；（0.849，0.871）］［（0.679，0.701）；0.738；（0.761，0.787）］［（0.757，0.789）；0.817；（0.849，0.877）］
FM9［（0.559，0.59）；0.619；（0.641，0.672）］［（0.492，0.525）；0.548；（0.575，0.603）］［（0.649，0.683）；0.709；（0.737，0.769）］
FM10［（0.514，0.541）；0.572；（0.597，0.622）］［（0.719，0.747）；0.774；（0.798，0.82）］［（0.466，0.499）；0.526；（0.558，0.586）］

Fig.3

Grey correlation degree of failure modes"

Table 3

Evaluation results"

FM1FM2FM3FM4FM5FM6FM7FM8FM9FM10
Ranking91326574108
O0.4630.9510.7611.0000.4520.3320.4180.7060.4800.447
S0.6121.0000.7900.8860.6190.6600.5130.5910.4340.638
D0.4450.9551.0000.7090.5210.8170.8760.7060.5640.422
Γj0.5270.9750.8150.9010.5390.5610.5370.6550.4740.529

Table 4

Evaluation results of two schemes"

失效

模式

方案1方案2
RPNjηuRankingcjRanking
FM1［0.24，0.27］0.07670.4396
FM2［0.79，0.86］0.15010.9791
FM3［0.67，0.73］0.13330.8313
FM4［0.67，0.74］0.13420.9142
FM5［0.27，0.31］0.09760.4405
FM6［0.21，0.25］0.061100.33210
FM7［0.29，0.33］0.10350.3398
FM8［0.47，0.52］0.11740.6594
FM9［0.22，0.26］0.06880.3389
FM10［0.22，0.25］0.06290.4317

Fig.4

Evaluation results of different schemes"

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