首页|Development of a deviation package method for low-cost robust optimization in compressor blade design

Development of a deviation package method for low-cost robust optimization in compressor blade design

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
Manufacture variations can greatly increase the performance variability of compressor blades.Current robust design optimization methods have a critical role in reducing the adverse impact of the variations,but can be affected by errors if the assumptions of the deviation models and distribution parameters are inaccurate.A new approach for robust design optimization without the employment of the deviation models is proposed.The deviation package method and the inter-val estimation method are exploited in this new approach.Simultaneously,a stratified strategy is used to reduce the computational cost and assure the optimization accuracy.The test case employed for this study is a typical transonic compressor blade profile,which resembles most of the manufac-ture features of modern compressor blades.A set of 96 newly manufactured blades was measured using a coordinate measurement machine to obtain the manufacture variations and produce a devi-ation package.The optimization results show that the scatter of the aerodynamic performance for the optimal robust design is 20％less than the baseline value.By comparing the optimization results obtained from the deviation package method with those obtained from widely-used methods employing the deviation model,the efficiency and accuracy of the deviation package method are demonstrated.Finally,the physical mechanisms that control the robustness of different designs were further investigated,and some statistical laws of robust design were extracted.

Manufacture variationsRobust design optimizationCompressor leading edgeAerodynamicsPhysical mechanism

Mingzhi LI、Xianjun YU、Dejun MENG、Guangfeng AN、Baojie LIU

展开 >

Research Institute of Aero-Engine,Beihang University,Beijing 100191,China

National Key Laboratory of Science & Technology on Aero-Engine Aero-Thermodynamics,Beihang University,Beijing 100191,China

AECC Shenyang Engine Research Institute,Shenyang 110015,China

国家科技重大专项Science Center for Gas Turbine Project,ChinaScience Center for Gas Turbine Project,China

2017-Ⅱ-0001-0013P2022-A-Ⅱ-002-001P2022-B-Ⅱ-002-001

2024

10.1016/j.cja.2023.12.021

中国航空学报(英文版)
中国航空学会

中国航空学报(英文版)

CSTPCDEI
影响因子：0.847
ISSN：1000-9361
年,卷(期)：2024.37(4)
  • 32