基于Fluent/ISIGHT贯流式潜水泵流场与结构优化研究

针对目前潜水泵体积笨重的问题，利用Fluent软件，对贯流式潜水泵进行全流场仿真模拟. 基于CFturbo软件经验叶轮结构，对潜水泵流场特性进行定常仿真分析. 基于ISIGHT优化平台通过CFturbo和PumpLinx实现叶轮结构的参数化建模和仿真过程，针对扬程、效率和轻量化3个优化目标，借助多岛遗传算法进行叶轮结构优化. 优化后结果表明，在额定流量工况下，扬程提升5.1%，水力效率提升2.1%，叶轮直径减小1.9%，不同流量工况下的潜水泵性能总体优于优化前的性能. 根据现场测量的实验数据，在额定流量工况下，扬程误差为0.31%，证明优化结果可靠，效果良好.

Study on Flow Field Characteristics and Structure Optimization of Submersible Pump Based on Fluent and ISIGHT

The software Fluent was used to simulate the full flow field of the submersible pump, to solve the bulky volume of submersible pumps. Based on the experience impeller structure of CFturbo software, the steady simulation analysis was conducted on the flow field characteristics of a submersible pump. The parametric modeling and simulation process of the impeller structure was realized by the ISIGHT optimization platform with CFTurbo and Pumplinx. The impeller structure was optimized by using the Multi-island genetic algorithm for the three optimization objectives: head, efficiency, and volume. The optimized results show that the head is increased by 5.1%, the hydraulic efficiency is increased by 2.1%, and the impeller diameter is reduced by 1.9% under the rated flow condition. The performance of the submersible pump under different flow conditions is generally better than that before optimization. According to the experimental data measured in the field, under the rated flow condition, the head error is 0.3%, which proves that the optimization results are reliable and submersible pump performance is good.