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A new method based on neural network and genetic algorithm to optimizate the Multiphase Rotodynamic pump is given. Using cubic B-spline surface to parametric the blade profile. Based on the ability of highly nonlinear fitting of BP neural network, the nonlinear relation between the blade parameter and the pump performance parameters is build. Let the trained neural network as a fitness function of...
Based on the third generation YQH-100 multiphase rotodynamic pump independently developed as the research object, The models of BP and RBF neural network were established respectively to predict the Multiphase Rotodynamic pump energy characteristics. The 27 groups of sample data of neural networks were created by FLUENT numerical calculated. The performance data of 20 multiphase rotodynamic pumps...
Based on the boosting cell parameters of the third generation YQH-100 multiphase pump independently developed, the orthogonal experimental design was used to design the optimization scheme, using relative head and efficiency as the evaluation targets for the multi-objective optimization design. The software FLUENT was used to predict relative head and efficiency of the multiphase pump. BP neural networks...
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