Uncertainty analysis of machining error influence of compressor blade

被引：0
|
作者：
Gao L. [1 ,2 ]
Cai Y. [1 ,2 ]
Xu H. [1 ,2 ]
Deng W. [1 ,2 ]
机构：
[1] School of Power and Energy, Northwestern Polytechnical University, Xi'an
[2] Collaborative Innovation Center for Advanced Aero-Engine, Beijing
来源：
Hangkong Dongli Xuebao/Journal of Aerospace Power | 2017年 / 32卷 / 09期
关键词：
Aerodynamic performance; Kriging surrogate model; Monte Carlo; Non-uniform rational B-spline (NURBS); Random machining error;
D O I：
10.13224/j.cnki.jasp.2017.09.025
中图分类号：
学科分类号：
摘要：
A numerical method was innovatively presented to achieve uncertainty quantification of airfoil considering the randomness of distribution and magnitude of manufacturing error. Airfoil parameterization achieved by NURBS(non-uniform rational B-spline) method and random sample was generated by Monte Carlo method based on error detection and statistics. And then the Kriging surrogate model was trained to get the influence of machining error on compressor performance. Result shows the influence of profile error is related to the working condition and the loss may increase by 0.853% at most. Moreover, the aerodynamic performance is more sensitive to suction surface than to pressure surface. The conclusion can provide more reasonable machining technology requirement and criteria of blade evaluation. © 2017, Editorial Department of Journal of Aerospace Power. All right reserved.
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页码：2253 / 2259
页数：6
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