FENG Zi-xuan1, ZHOU Ping2.Robustness Optimization Design of Radial Deformation for Turbine Rotor[J].航空发动机,2017,43(5):31-34
Robustness Optimization Design of Radial Deformation for Turbine Rotor
DOI:
Key Words:distributed collaborative response surface  Kriging  turbine rotor  fruit flies optimization algorithm  robustness optimization曰aeroengine
Author NameAffiliationE-mail
FENG Zi-xuan1, ZHOU Ping2 1.Aero Engine Corporation of China, Beijing100097, China
2.School of Energy and Power Engineering, Beihang University, Beijing 100083,China 
376548551@qq.com 
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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.
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