Abstract
In order to improve the fan noise, the multi-objective optimization algorithm was implemented to optimize the fan blade structure. Firstly, the theoretical model with the noise, flow rate and power of fan as the objectives was established and verified; then, the global sensitivity analysis method based on sobol’ method was used to obtain the contributions of each parameter to the performance objectives of the fan by taking the fan blade angle and chord length as the analysis parameters; finally, the sensitive parameters are selected to obtain the best noise-oriented comprehensive performance of the fan by the genetic algorithm. The result shows that the noise is reduced by 3.1dB, the flow rate is increased by 7.7% and the power is reduced by 7.9% after optimizing fan blade structure, and the overall performance of the fan is significantly improved.
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