Structural optimization of a centrifugal impeller based on a Kriging model
Lai Xi-ta · Journal of Shenyang Aerospace University · 2014
Based on a Kriging model and genetic algorithm,the structural optimization of a centrifugal impeller is studied in order to reduce the weight of an airplane. Obtained from Latin square experimental design and finite element analysis,the initial data is used to establish a Kriging parameters model of the weight and the maximum stress of the centrifugal impeller,which is then global optimized by genetic algorithm. The state parameters of the approximate optimum point are calculated with finite element analysis in order to update the existing sample data and to improve the approximate accuracy of the model. The results show that compared with direct searching with genetic algorithm,the combination of a Kriging model and genetic algorithm can get a good optimization result and reduce the computing time significantly. This method also has an efficiency advantage over the polynomial model and genetic algorithm.