关键词: 交流轴流风机, 工作点, 预测

Abstract: As the key core component of air conditioner, the efficiency of fan directly affects the energy efficiency of air conditioner. Improving fan efficiency and correct blade design and selection are the key means to improve the energy efficiency of air conditioner. Based on an outdoor enclosure, three-dimensional Navier-Stokes equations and k-ζ turbulence model is adopted to achieve unsteady flow solving to obtain the characteristic data of the blades and the SIMPLE algorithm is selected to solve the pressure-velocity combinations. The working point data of fan is predicted with the help of the motor characteristic curve and the wind resistance curve of air conditioning outdoor unit. The results show that the predicted data coincide with experimental data, the deviation is less than 5%, which can effectively guide the selection and design of fan blade.

Key words: AC axial flow fan, Operating point, Prediction