The input power to a centrifugal pump is optimized by changing the impeller blade exit angle. In the optimization, blade exit angles of three meridional profile layers are selected as the design variables, while pump shaft power and head developed are the multi-objective optimization functions obtained through a surrogate model. A multi-objective genetic algorithm is used to find the optimum design point. Computational fluid dynamics simulations are performed to solve Reynolds-averaged Navier–Stokes equations using a shear-stress transport turbulence model for the closure term. Manipulation of the impeller blade angle profile affects both shaft power and efficiency without affecting the head at the best efficiency point, corresponding to a mass flow rate of 1.75 kg/s. The optimum design point of the pump impeller shows an enhancement (>10%) in pump efficiency. Improved flow separation near the trailing edge of the impeller blade and uniform blade loading decreases the input power required at the shaft of the pump impeller.

通过改变叶轮叶片出口角优化离心泵的输入功率。在优化中，选择三个子午剖面层的叶片出口角作为设计变量，而开发的泵轴功率和扬程是通过代理模型获得的多目标优化函数。采用多目标遗传算法寻找最优设计点。执行计算流体动力学模拟以求解雷诺平均 Navier-Stokes 方程，该方程使用闭合项的剪切应力传输湍流模型。叶轮叶片角度轮廓的操作会影响轴功率和效率，而不会影响最佳效率点处的扬程，对应于 1.75 kg/s 的质量流量。泵叶轮的最佳设计点显示出增强（> 10%) 的泵效率。改进的叶轮叶片后缘附近的流动分离和均匀的叶片负载降低了泵叶轮轴处所需的输入功率。