Multi-Objective Optimization of Gas-Liquid Two-Phase High-Speed Centrifugal Pump

In order to improve the head and efficiency of centrifugal pumps and reduce shaft power under gas-liquid two-phase(GLTP) conditions, a high-speed centrifugal pump model Q5H26 was taken as the research object. Studies have shown that when the gas content of the centrifugal pump is between 0 % and 25 %, its performance decreases significantly: the shaft power increases, while the head and efficiency decrease, indicating that the gas has a negative impact on the effective operation of the pump. In order to improve the performance of centrifugal pump, the sensitivity of blade inlet and outlet angle, cover plate thickness and blade number was analyzed by multi-objective programming (MOP) model, and these key parameters were optimized by genetic algorithm. The optimized centrifugal pump shows better performance under various operating conditions. This study effectively fills the gap in the performance optimization of centrifugal pumps in the field of gas-containing liquid treatment. Through numerical simulation and experimental comparison, under the condition of rated working condition and 10 % gas content, the optimized model pump efficiency is increased by 7.8 %, the head is increased by 1.9 m, and the shaft power is reduced by 37 W. These results not only prove that the method can significantly improve the performance of centrifugal pumps under gas-liquid two-phase conditions, but also provide valuable reference for design and optimization in this field. This study is especially suitable for industrial applications where efficient and energy-saving operations are required. It provides a practical solution for the treatment of gas-containing liquids, thereby making up for the shortcomings of existing technologies.