Abstract:  Aiming at the problems of low efficiency and unstable operation of an electronic water pump, the structural parameters of the electronic water pump impeller were optimized. The internal flow field of the electronic water pump was simulated and analyzed by ANSYS Fluent. The accuracy of the simulation model was ensured by comparing the simulation value with the experimental value. After determining the value range of the optimized variable, response surface analysis and genetic algorithm were used to optimize the impeller parameters of this electronic water pump. The number of blades, impeller outlet diameter and impeller outlet width were taken as optimization variables. Taking the maximum head and efficiency as the optimization objective, the response surface analysis was carried out through Box-Behnken design. The impeller outlet angle was increased as a variable optimized by genetic algorithm. The smallest energy loss, the largest theoretical head, and the steepest flowhead curve were regarded as sub-objective functions and their mathematical models were established. The multi-objective optimization was carried out by using MATLAB. The simulation was carried out with the optimized parameters. The results show that the response surface optimization improves the efficiency by 4.7%, and the internal flow field is improved. After optimization by genetic algorithm, the efficiency is increased by 15.9%, and the internal flow field is improved significantly, their heads meet requirements.

Key words:  electronic water pump; centrifugal pump;flow field simulation; response surface optimization; genetic algorithm;computational fluid dynamics(CFD)

YANG Yuan-jian, ZHANG Li, WANG Jian-zhang, et al. Optimization of electronic water pump based on CFD［J］.Journal of Mechanical & Electrical Engineering, 2022,39(2):187-192.