Airfoil design optimization at low reynolds number

The airfoil perturbation functions designed by Hicks-Henne were developed, and the multi-objective function carried out with multi parameters for airfoil design optimization was discussed too. By employing genetic algorithm, the SA7035 was taken as the optimization case at low Reynolds number. The optimized results show that, with small variety of pitching moment coefficient at angle of attack 2°~8°, the effectiveness factor of the airfoil is improved, to achieve multi-objective optimization purpose; the maximum lift to drag ratio and the maximum effectiveness factor are both significantly improved, by 14.5% and 15.2% respectively, and the corresponding angle of attack of the maximum effectiveness factor is decreased slightly. This optimization method can be applied in airfoil design at low Reynolds number.