| Submersible pump for well is one of important equipment for groundwater extraction,which is widely used in the countryside, factories, mines, tap water company, geothermaldevelopment and oil field. It is significative for submersible pump energy consumption tooptimize impeller and guide vane of its two most important flow components. In this paper,considering the submersible pump with sloping impeller and space diffuser as the model, geneticalgorithm, artificial neural network, and other advanced optimization design algorithm areintroduced to optimize the design based on the target function of efficiency. In the process ofoptimization, the blade inlet and outlet angle of the impeller and guide vane are considered ascontrol parameters. The range of angle is increased±20°compared with the original model.Based on the successive flow field check, the optimal impeller model is obtained in the variationrange of control parameters by searching the optimum value of objective function using geneticalgorithm. And numerical simulation and performance prediction for original and optimizedsubmersible pump is carried out. Main contents are as follows:(1) The method for numerical calculation and optimization design is introduced in thispaper, and the model building for sloping impeller and space diffuser is completed using Pro/E3D modeling software. Based on the software NUMECA AutoGrid5module, the wholehexahedral structured grid is adopted to mesh them. The characteristic of the original pump ispredicted based on the Reynolds-averaged Navier-stokes equations and Spalart-Allmarasturbulence model.(2) The experiment is carried out for submersible pump with sloping impeller and spacevane when rotating speed n=2850r/min. The capacity and head curve (Q-H) and capacity andefficiency curve (Q-η) are obtained, and they are compared with the results of numericalsimulation.(3) The parametric modeling is carried out for the sloping impeller and space vane.Considering blade inlet and outlet angle at the bottom of the blade for slopping impeller andspace vane β1, β2, β3and β4as optimal variable, the optimization design is carried out using theoptimal strategy based on the function approximation technique and the efficiency as optimalobject. (4) Compared the flow field and characteristic performance of optimal submersible pumpwith that of original one, it is verified that the hydraulic efficiency and single-stage head foroptimal submersible pump are improved, its large-flow operation region is widened, and itsoperation stability is reinforced. |