Numerical Simulation And Aerodynamic Performance Research On Mine Axial Fan

Axial fan is the main equipments for ventilating and dust exhausting in long distance minetunnel, the effect was not good because of outlet pressure deficiency, thus affecting productionsafety in the mine.First of all, in order to increase pressure axial fan blade tail section shape was modified. ByFluent software numerical simulation was carried out for axial fan before and after itsoptimization, and analysis was completed from the aspects of pressure and velocity. Withoutchanging the fan diameter and rotational speed, the optimized fan’s performance was improved,outlet pressure increased by20.155%, the outlet static pressure increased by24.321%, outletspeed also increased by about3.22%, that effectively alleviating the problem of insufficientpressure.The secondly, in order to improve pressure suitable blade number was planned. The axial fanperformance was comparative studied by setting6,8,10,12,14,16,18blade number throughFluent software based on the axial fan before and after its optimization. The results showed thatthe axial fan outlet total pressure presents rule first increase and then decline with the increase ofblade numbers, the best blade number was14for the optimized axial fan with best aerodynamicperformance.To obtain install angle of axial fan which presents optimal performance match to its bladenumber, by Fluent software orthogonal experiment design was completed for optimized axial fan.The three factors of orthogonal experiment were blade number, installation angle and anglebetween top blade chord length and head face, and each factor has three levels, they are12,14,16and49.5o,51.5o,53.5oand31.1o,32.1o,33.1o, the performance target was outlet totalpressure effective power. The axial fan structure parameters were modified based on theorthogonal experiment, the method was that installation angle and angle between top blade chordlength and head face should be altered from50o、32.1oto51.5o、33.1o. The result showed thatthe best combination of the three factors was14、51.5o、33.1o. At the same time, once again itproved that the data14is reliable. Method for selecting axial fan blade number by combiningorthogonal experiments with Turbo was efficient. After the above parameters were determined,the optimized axial fan3d model was established by using Pro/E software.