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

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 than the original one. The aerodynamic experimental results of TA36B show that the stall margin is 18.84%, which proves a wide stall margin.