Journal of Northeastern University(Natural Science) ›› 2022, Vol. 43 ›› Issue (1): 48-56.DOI: 10.12068/j.issn.1005-3026.2022.01.007

• Mechanical Engineering • Previous Articles     Next Articles

Gradual Reliability Sensitivity Analysis of Thermal-Mechanical Coupling of Disc Brakes

YANG Zhou1, PAK Un-song1,2, KWON Chol-u1,3   

  1. 1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China; 2. School of Mechanical Engineering, Pyongyang Transportation University, Pyongyang 999093, Democratic People’s Republic of Korea; 3. Institute of Mechanical Engineering, State Academy of Sciences, Pyongyang 999093, Democratic People’s Republic of Korea.
  • Revised:2021-03-16 Accepted:2021-03-16 Published:2022-01-25
  • Contact: YANG Zhou
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Abstract: In order to solve the problem of reliability decrease due to high friction temperatures, the thermal-mechanical coupling gradual reliability sensitivity analysis is carried out. Taking a car disc brake for example, “Coupled Field Transient” module of Workbench is used to conduct the thermal-mechanical coupling analysis, and transient temperature field distribution of the brake under emergency braking condition is obtained. The accuracy of the finite element model is confirmed by comparing with the experimental results. The adaptive Kriging surrogate model theory is used to establish the reliability performance function model, and the AK-MCS method is used to conduct the gradual reliability sensitivity analysis of thermal-mechanical coupling, and then Monte Carlo method is used to verify calculation results. The results show that the thickness of brake discs has the most obvious influence on the reliability, followed by the thermal conductivity and the specific heat of brake discs, and the thickness of heat-dissipation stiffeners, while influence of the density of brake discs on the reliability is the smallest.

Key words: disc brake; thermal-mechanical coupling analysis; adaptive Kriging surrogate model; thermal-mechanical coupling gradual reliability; reliability sensitivity analysis

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