Study Machine Tool Spindle Performance Reliability Based on Bayes Method

Authors

Yulun Chi, Mechanical Engineering College, University of Shanghai for Science and Technology, Shanghai 200093, China;
Haolin Li, Mechanical Engineering College, University of Shanghai for Science and Technology, Shanghai 200093, China;

Abstract

Abstract: With the development of high precision machine tool, the reliability requirement is higher and higher for machine tool spindle. Reliability evaluation of spindle based on accelerated life testing is becoming a hot spot of research, and how to improve the precision of evaluation is one of the most important issues. According to the Weibulldistribution characteristic of machine tool spindle reliability, the spindle accelerated life reliability was studied by using the Bayes method. Due to the environment difference between the accelerated test load and the actual working load. The Bayes theory which used the environment difference factor, was introduced to calculate spindle reliability and to get higher accuracy assessment. The method effectiveness was proved by the Monte-Carlo simulation and experiment research, and it provides theoretical basis and solution for the spindle reliability assessment.

Recommended Citation

Chi, Yulun and Li, Haolin (2020) "Study Machine Tool Spindle Performance Reliability Based on Bayes Method," Journal of System Simulation: Vol. 28: Iss. 7, Article 25.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss7/25

First Page

1667

Revised Date

2015-03-11

DOI Link

https://doi.org/

Last Page

1672

CLC

TH123

Recommended Citation

Chi Yulun, Li Haolin. Study Machine Tool Spindle Performance Reliability Based on Bayes Method[J]. Journal of System Simulation, 2016, 28(7): 1667-1672.