Parametric design of high-specific-speed centrifugal pump based on Kriging model and NLPQL algorithm

The traditional design method cannot effectively solve the problem of low efficiency of a high-specific-speed centrifugal pump. Hence, a 100-80-125 high-specific-speed centrifugal pump was taken as the research object, a comprehensive sensitivity screening on the impeller cover control points and blade profile parameters were carried out based on the Kriging model. The NLPQL algorithm was used to optimize the parameters of high-specific-speed centrifugal pump to improve its operation efficiency. The optimized model was numerically calculated, and the operation efficiency of the model pump before and after optimization was compared through experiments. The results show that under the rated flow condition, the actual efficiency of the optimized pump is increased by 2.6%, and the head is increased by 2.3 m. Besides, there is no structure difficult to cast and process, and the optimization effect is significant. This research can provide an effective method for improving the efficiency of high-specific-speed centrifugal pump.