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

作　　者：Mingzhi LI Xianjun YU Dejun MENG Guangfeng AN Baojie LIU 

机构地区：[1]Research Institute of Aero-Engine,Beihang University,Beijing 100191,China [2]National Key Laboratory of Science&Technology on Aero-Engine Aero-Thermodynamics,Beihang University,Beijing 100191,China [3]AECC Shenyang Engine Research Institute,Shenyang 110015,China

出　　处：《Chinese Journal of Aeronautics》2024年第4期166-180,共15页中国航空学报（英文版）

基　　金：funded by the National Science and Technology Major Project, China (No. 2017-II-0001-0013);Science Center for Gas Turbine Project, China (Nos. P2022-A-II-002-001 and P2022-B-II-002-001)。

摘　　要：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 interval 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 manufacture 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 deviation 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.

关 键 词：Manufacture variations Robust design optimization Compressor leading edge AERODYNAMICS Physical mechanism 

分 类 号：V263[航空宇航科学与技术—航空宇航制造工程]