张照煌,王丙申,贾晓娜

• 1:华北电力大学能源动力与工程学院

摘要(Abstract)：

风力发电机的风轮气动效率与优良翼型的气动性能密切相关。以风力机传统翼型为研究对象，结合翼型参数化建模及自适应遗传算法，寻优搜索得到高性能优化翼型。比较了CST法和改进的Hicks-Henne型函数法对于NACA63418传统翼型的拟合精度，进而选用HicksHenne型函数法对NACA63418翼型进行参数化建模。通过自适应遗传算法和XFOIL软件耦合实现翼型气动特性的自动计算，提高翼形的设计效率，为翼型的理论设计拓宽了思路。

关键词(KeyWords)： 翼型;气动性能;参数化建模;自适应遗传算法

Abstract:

Keywords:

基金项目(Foundation): 中央高校基本科研业务费专项资金资助（2019QN021）~~

作者(Author): 张照煌,王丙申,贾晓娜

DOI: 10.19666/j.rlfd.202307112

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