In order to optimize the design parameters of multi-chamber continuous mixing equipment,the multi-objective optimi-zation research of propeller blades of multi-chamber continuous mixing equipment was carried out.A multi-objective optimization model based on radial basis function was established by taking the power consumption per unit volume of the mixing chamber and the effective mixing area of the shaft section of the mixing chamber as the objective function and the peak shear stress as the limiting variable.The orthogonal experimental design and genetic algorithm were used to optimize the parameters of the impeller,and the opti-mization results were verified by CFD simulation and experiment.The results show that the significant influencing factors of the char-acteristic parameters of multi-chamber continuous mixing equipment are the outer diameter of the blade,the blade-wall gap and the rotate speed.Compared with the initial design,the power consumption per unit volume is reduced by 14.90%,the effective mixing ar-ea of the shaft section of the mixing chamber is increased by 4.10%,the product of the two is reduced by 11.47%,and the peak shear stress is reduced by 21.28%.The safety is greatly improved with less reduction in mixing capacity,which proves the feasibility of multi-objective genetic algorithm based on radial basis function in the performance optimization of multi-chamber continuous mix-ing equipment.
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