Deviation Propagation Model and Optimization of Concentricity for Aero-Engine Rotor Assembly

doi:10.16183/j.cnki.jsjtu.2018.01.009

Abstract

Abstract: Using robust eigenvalue method (REM), deviation propagation model was built to describe the relationship between the plane parameters and the concentricity of high pressure compressor (HPC) rotors in aero-engine assembly through experiments. The calculated values and measured values of parts eccentricity and circle run-out of mounting face were compared and the results verified the reliability of the model. In addition, contribution analysis was realized. In order to effectively improve the concentricity of HPC rotors, genetic algorithm (GA) was adopted to determine the optimal installation angles for each part. The results showed that the proposed REM-GA method was suitable for continuous process of stacked assembly and could improve the concentricity of each part by over 50 percent, and the obtained optimal installation angles were 6.225, 3.422 and 5.983 rad respectively.

Key words: aero-engine, rotor assembly, robust eigenvalue method (REM), genetic algorithm (GA), concentricity, deviation

CLC Number:

V 263
TP 605

DING Siyi,JIN Sun,LI Zhimin,WEI Zhenqi,YANG Fuyong. Deviation Propagation Model and Optimization of Concentricity for Aero-Engine Rotor Assembly[J]. Journal of Shanghai Jiaotong University, 2018, 52(1): 54-62.

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