Research on Improving Efficiency of Submerged Liquid Pump Based on Genetic Algorithm Optimization
To enhance the efficiency of the submerged liquid pump and address the problem of optimizing multiple compo-nents and parameters of the submerged liquid pump,a submerged liquid pump efficiency improvement optimization design method based on genetic algorithm was proposed.The optimization targeted submerged liquid pump efficiency was selected as the objec-tive function,with the impeller and inducer as the core components.The optimization variables was used as the constraint condi-tion included the impeller inlet angle β1,impeller outlet angle β2,blade wrap angle ϕ,blade inlet width b2,inducer inlet angle β3,inducer outlet angle β4,and inducer blade angle γ.Genetic algorithm was employed for optimization,and ANSYS Fluent software was used for numerical simulation verification.The numerical simulation results indicate that the submerged liquid pump,optimized considering both impeller and inducer exhibits an improved working efficiency rising from 71.65%to 80.40%compared to the original pump.The boosting effect is more pronounced,and the efficiency improvement effect is better than either the impeller or the inducer alone.Through genetic algorithm optimization of the impeller and inducer of the LNG sub-merged liquid pump,the pump working efficiency significantly improved.