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涡轮转子径向变形稳健性优化设计
引用本文:冯子轩,周平.涡轮转子径向变形稳健性优化设计[J].航空发动机,2017,43(5):31-34.
作者姓名:冯子轩  周平
作者单位:1. 中国航空发动机集团有限公司,北京,100097;2. 北京航空航天大学能源与动力工程学院,北京,100083
基金项目:航空动力基础研究项目资助
摘    要:考虑到参数不确定性对转子径向变形的影响,提出了1种基于分布式协同响应面的涡轮转子径向变形稳健性优化方法。首先,利用Kriging模型建立各部件参数与径向变形响应面子模型,然后利用分布式协同响应面方法建立全局参数与转子径向变形的系统响应面模型。其次,利用系统响应面模型建立涡轮转子径向变形稳健性优化模型,并采用果蝇优化算法来进行稳健性优化求解。优化后涡轮转子径向变形的均值以及标准差比优化前分别降低了7.3%和4.97%,计算结果表明:该方法在工程应用中的可行性和有效性。

关 键 词:分布式协同响应面  Kriging  涡轮转子  果蝇优化算法  稳健性优化  航空发动机

Robustness Optimization Design of Radial Deformation for Turbine Rotor
Authors:FENG Zi-xuan  ZHOU Ping
Affiliation:1.Aero Engine Corporation of China, Beijing100097, China; 2.School of Energy and Power Engineering, Beihang University, Beijing 100083,China
Abstract:Considering the influence of parameter uncertainty on the rotor radial deformation, the turbine rotor radial deformation robustness optimization method was put forward based on distributed coordinated response. Firstly, the Kriging model was used to build the surface model of the component parameters and the radial deformation response model. Then, the response surface model of the global parameter and the rotor radial deformation was established by using the distributed cooperative response surface method. Secondly, the optimization model of radial rotor stability of turbine rotor was established by using the system response surface model, and the fruit flies optimization algorithm was used to solve the robustness optimization. The optimization results show that the mean value of the radial deformation of the turbine rotor and the standard deviation ratio are reduced by 7.3% and 4.97% before optimization. The results show that the method is feasible and effective in engineering application.
Keywords:distributed collaborative response surface  Kriging  turbine rotor  fruit flies optimization algorithm  robustness optimization  aeroengine
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