基于CFD技术的多级潜水泵优化设计

结合多级潜水泵的特点,针对后倾式叶轮及空间导叶的多级潜水泵,以效率最大为优化目标进行优化设计.为了提高优化的精度,对后倾式叶轮和空间导叶进行参数化拟合处理,选择叶轮和导叶的进出口角作为控制参数并在原模型基础上增加±20°作为优化范围,在不断进行流场校核的基础上基于遗传算法寻找目标函数的最优值,得到控制参数变化范围内的最优叶轮模型.数值模拟结果表明:当叶轮根部进口角为35.53°,出口角为27.32°,导叶进口角为15.48°,出口角为61.75°时获得最优模型,优化后的水泵效率提高了4.12％,单级扬程提高了,1.449 m,拓宽了水泵的高效区,提高了水泵的运行稳定性,泵性能得到了优化.

Optimization Design of Multi-stage Submersible Pump Based on CFD

Combined with the characteristics of multi-stage submersible pump, the pump with sloping impeller and space guide vane was optimized using efficiency as optimization object. To improve the accuracy of numerical simulation, parametric fitting for sloping impeller and space guide vane was carried out. In the process of optimization, the blade inlet and outlet angle of the impeller and guide vane were considered as the control parameters. The range of angle was increased ±20°compared with the original model. Based on the successive flow field check, the optimal impeller model was obtained in the variation range of control parameters searching the optimum value of objective function based on genetic algorithm. The optimal model was obtained when inlet angle at the bottom of the blade was 35.53° and the outlet angle was 27.32°, the inlet angle of the guide vane was 15.48° and outlet angle was 61.75°. The pump efficiency increased by 4.12%, and the single stage head increased 1.449m. The range of high efficiency has been extended, the stability of pump operation is improved, and the performance of the pump is optimized.