Multi-objective Optimization Design of a Centrifugal Fan Based on the Blade Loading Distribution
To realize the comprehensive improvement of the aerodynamic performance of the cen-trifugal fan,the blade loading distribution of the centrifugal impeller is taken as the design parameter,and the total pressure efficiency,static pressure efficiency and total pressure of the fan are taken as the optimization objectives.Morris method was used to analyze the sensitivity relationship between the design variables and the objective function.The response relationship between design variables and optimization objectives is established by combining computational fluid dynamics and radial basis neural network.The centrifugal fan impeller is optimized and improved by genetic algorithm.The results show that the leading edge load on shroud is the main influencing parameter of the fan total pressure efficiency.The total pressure is more sensitive to the slope of the middle straight line of the blade loading.The static pressure efficiency of the fan is mainly affected by the slope of the middle straight line of the blade loading distribution on hub.After optimization,the total pressure efficiency,static pressure efficiency and total pressure are increased by 2％,1.4％and 34 Pa,respectively.For the optimized blade loading distribution,the main loading point on both hub and shroud locates at the rear of its curve.The flow separation on the blade suction side near shroud is significantly reduced,and the secondary leakage flow at the trailing edge is suppressed.
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