It is important to reduce carbon emissions caused by the energy consumption of pumps. This study used a centrifugal pump with a specific speed of 89.6 as the research object to improve pump efficiency. The adaptive single-objective method was adopted as the automatic optimization tool with computational fluid dynamics, which includes optimal space-filling experimental design, Kriging response surface, and mixed-integer sequential quadratic programming. Eight geometric parameters from the meridian section and the plan of the impeller and diffuser were chosen as the design variables. The maximum efficiency under the design flow conditions was set as the optimization target. The Spearman correlation coefficient analysis results show that the sensitivity of each variable to efficiency and head. Compared with the original scheme, the optimal scheme showed a 2.75% increase in efficiency and a 1.17 m increase in head under the design flowrate. The internal flow field after optimization was also improved. An external characteristic experiment of the original and optimized pumps was performed to validate the numerical results. This automatic optimization method presents great potential to improve the hydraulic performance of centrifugal pumps at a lower cost.

减少泵的能源消耗造成的碳排放非常重要。本研究以一台比转速为89.6的离心泵为研究对象，以提高泵的效率为目的。采用自适应单目标方法作为计算流体动力学的自动优化工具，包括最优空间填充实验设计、克里金响应面和混合整数序列二次规划。从子午线截面和叶轮和扩压器的平面图中选择八个几何参数作为设计变量。以设计流量条件下的最大效率为优化目标。Spearman相关系数分析结果表明各变量对效率和水头的敏感性。与原方案相比，优化方案在设计流量下效率提高了2.75%，扬程增加了1.17 m。优化后的内部流场也有所改善。对原泵和优化泵进行了外特性实验，以验证数值结果。这种自动优化方法具有以较低成本提高离心泵水力性能的巨大潜力。