高负荷低速轴流风扇数值优化设计与实验研究

Numerical design optimization of a high-loaded low-speed axial-flow fan and experimental research

应用基于自适应遗传算法和复合形法发展的混合遗传算法数值设计平台ADOP,对某高负荷低速轴流风扇TA36A实施气动数值优化。该风扇设计转速2.9kr/min,三维数值结果近设计点流量7.482kg/s,绝热效率为84.54%,失速裕度为16.38%;优化设计后风扇TA36B数值模拟结果失速裕度提高了1.6个百分点,气动效率为85.31%,比原型略有提高。气动性能试验风扇TA36B失速裕度达18.84%,具有较宽的稳定工作范围。

A high-loaded low-speed axial-flow fan was optimized based on ADOP, which is developed by hybrid genetic algorithm based on adaptive genetic algorithm and complex method. The design speed of TA36A is 2.9 kr/min. 3D numerical simulation results show that the isentropic efficiency is 84.54% and the stall margin is 16.38%, when the mass flow rate is 7.482 kg/s nearby the design point. After optimization, the stall margin of TA36B is increased by 1.6% and the isentropic efficiency is 85.31%, a little higher tha...