| 冯子轩1，周平2.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 |
| 涡轮转子径向变形稳健性优化设计 |
| Robustness Optimization Design of Radial Deformation for Turbine Rotor |
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| DOI： |
| 中文关键词: 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 |
| 英文关键词:distributed collaborative response surface Kriging turbine rotor fruit flies optimization algorithm robustness
optimization曰aeroengine |
| 基金项目:航空动力基础研究项目资助 |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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