低雷诺数翼型的优化设计  

Airfoil Design Optimization at Low Reynolds Number

作　　者：左林玄[1] 王晋军[1] 

机构地区：[1]北京航空航天大学航空科学与工程学院,北京100083

出　　处：《兵工学报》2009年第8期1073-1077,共5页Acta Armamentarii

基　　金：国家杰出青年科学基金项目(10425207)

摘　　要：发展了Hicks—Henne设计的翼型扰动函数，并对翼型优化过程中的多参数多目标优化函数进行了探讨。采用遗传算法作为优化算法，在低雷诺数条件下，将SA7035翼型作为优化算例。结果显示：在攻角2°～8°的范围内，翼型的效率因子能够在俯仰力矩系数变化较小的情况下获得很大提高，达到了多目标优化的目的；同时翼型的最大升阻比和最大效率因子均有较大提高，分别为14．5％和15．2％，且最大效率因子对应的攻角略有提前。提出的翼型优化设计思路可为低雷诺数翼型的设计提供参考。The airfoil perturbation functions designed by Hieks-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 results show that, with small variety of pitching moment coefficient at angle of attack 2°-8°, the effectiveness factor of the airfoit 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.

关 键 词：流体力学 扰动函数 多目标优化 遗传算法 翼型 低雷诺数 

分 类 号：V211.3[航空宇航科学与技术—航空宇航推进理论与工程]