Optimization of unsteady characteristics of centrifugal pump based on NSGA-II algorithm

Abstract In order to improve the unsteady characteristics of centrifugal pumps, this paper proposes a multi-objective optimization method based on the Nondominated Sorting Genetic Algorithm II (NSGA-II) algorithm. By establishing a hydraulic model of the centrifugal pump through Computational Fluid Dynamics (CFD) technology and conducting mesh partitioning, an appropriate number of meshes is determined. On this basis, the impeller structural parameters are optimized using the NSGA-II algorithm, taking into account both the head and efficiency stability criteria. The optimization results show that the head and efficiency at rated conditions are greatly improved. Vibration tests verify significant vibration reduction, especially at rated conditions. The NSGA-II algorithm enhances pump performance and stability, offering a new design optimization approach.