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In order to improve the prototype’s performance of the helico-axial multiphase pump, a multi-objective optimal method for the pump impeller was developed by combining the artificial neural network (ANN) with non-dominated sorting genetic algorithm-II (NSGA-II). The main geometric parameters influencing the impeller’s performance were chosen as the optimization variables, and the sample spaces were...
The main geometric structural parameters which affected the performance of the compression cell of the helico-axial multiphase pump greatly were selected as the research object. The groups of impeller parameters were determined by the orthogonal experimental design method. Then the pressure rise and efficiency for each group which were obtained through numerical simulation according to CFD method...
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