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The International Journal of Advanced Manufacturing Technology

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05-09-2021 | ORIGINAL ARTICLE

Reliability analysis of spindle system of CNC grinder based on fault data

Authors: Jinwei Fan, Liangliang Xue, Yongjun Liu, Weihua Li

Published in: The International Journal of Advanced Manufacturing Technology | Issue 9-10/2021

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Abstract

The spindle system is the key component of the CNC (computer numerical control) grinding machine. In order to explore the factors affecting the reliability of the CNC grinding machine spindle system and find out measures to improve the reliability of the CNC grinding machine, this paper proposed a reliability evaluation algorithm based on fault data. Five common distribution functions are used to establish the mathematical model of the time between failures. After parameter estimation, fitting test, and optimal model selection, the distribution model of the spindle system is finally determined. Monte Carlo method is used to verify the accuracy of the distribution model, and the mean time between failures (MTBF) of the spindle system is calculated. At the same time, according to the fault data, the failure mode effects and criticality analysis (FMECA) and fault tree analysis (FTA) are used to find out the key fault factors, and the corresponding improvement measures are put forward. Finally, the characteristics and application of the five distribution models are discussed. The above analysis methods have been effectively applied in the project and are one reference for the reliability evaluation and redesign of other electromechanical products.

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Title: Reliability analysis of spindle system of CNC grinder based on fault data
Authors: Jinwei Fan
Liangliang Xue
Yongjun Liu
Weihua Li
Publication date: 05-09-2021
Publisher: Springer London
Published in: The International Journal of Advanced Manufacturing Technology / Issue 9-10/2021
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-021-07552-y

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