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Reliability distribution method of complex mechanical system based on improved ARINC

Published:2023-10-19 author:WU Hong-qiu, XIE Li-yang, WANG Yi, et al. Browse: 321 Check PDF documents

Reliability distribution method of complex mechanical system based on

improved ARINC

WU Hong-qiu1, XIE Li-yang1, WANG Yi2, HE Xue-hong1

(1.School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China;

2.Shenyang Engine Research Institute,Aero Engine Corporation of China， Shenyang 110015, China)

Abstract: At the early stage of the design of aeroengine stator blade regulating mechanism, the reliability assignment results are often unreasonable or difficult to distribute due to the lack of complete failure statistics. To address this problem, a reliability distribution method of complicated mechanical system based on improved ARINC was performed based on the nonlinear conversion method of failure mode, effects and criticality analysis (FMECA)evaluation indexes. Firstly, a nonlinear conversion of the failure rate evaluation index of FMECA analysis was performed to approximate the working failure rate of the part, and an improved ARINC method was proposed by combining the concept of reliability critical parts. Then, the steps of reliability assignment using the improved ARINC assignment method were proposed. Finally, the blade linkage system of the static blade regulating mechanism was used as an example to complete the assignment of its subsystem reliability indexes using the above method and steps. In order to verify the rationality of the improved ARINC method, it was compared with the traditional ARINC method. The research results show that the improvement of ARINC method can effectively solve the problem of insufficient data to scientifically assign reliability in engineering practice, and increase the applicability of ARINC method. Comparing with the assignment results obtained by the traditional ARINC method, the reliability of linkage half-ring, linkage half-ring lap section and blade-rocker bushing obtained by the improved ARINC method is respectively reduced by 0.14%, 0.33% and 0.94%. The assignment results show that the method can assign tasks with lower reliability index to some key parts (with high failure rate and difficulties to guarantee the high reliability),and is more reasonable than the traditional ARINC method.

Key words: reliability allocation of mechanical system; ARINC distributive method; adjusting mechanism of variable stator vanes; failure mode, effects and criticality analysis (FMECA); reliability key parts

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