考虑结构特性的钝尾缘翼型气动优化设计

王少聪; 田红艳; 汤志豪; 朱申安

doi:10.19912/j.0254-0096.tynxb.2024-0150

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (5) : 612-618. DOI: 10.19912/j.0254-0096.tynxb.2024-0150

考虑结构特性的钝尾缘翼型气动优化设计

王少聪¹, 田红艳^1,2, 汤志豪¹, 朱申安¹

作者信息 +

AERODYNAMIC OPTIMIZATION DESIGN OF BLUNT TRAILING EDGE AIRFOIL CONSIDERING STRUCTURLA CHARACTERISTICS

Wang Shaocong¹, Tian Hongyan^1,2, Tang Zhihao¹, Zhu Shen’an¹

Author information +

文章历史 +

摘要

提出一种兼顾气动、结构性能的钝尾缘翼型优化方法,以得到气动性能与结构刚度更优的风力机翼型。将提升设计攻角下翼型升阻比和扭转惯性矩作为优化目标,基于多岛遗传算法,将类别形状函数变换（CST）参数化方法与钝尾缘改型结合建立翼型参数化模型,通过XFOIL进行气动分析,利用Matlab程序分析结构性能,对初始翼型进行优化。将优化结果从气动、结构两方面与初始翼型DU91-W2-250对比验证,结果表明：在运行攻角范围内,优化翼型有更高的升力系数与升阻比,且优化后翼型抵抗变形能力增加,翼型整体性能更优。

Abstract

In order to obtain a wind turbine airfoil with high aerodynamic performance and high structural stiffness, a blunt trailing edge airfoil optimization method with both aerodynamic and structural performance was proposed. Aiming at improving lift-drag ratio and torsional moment of inertia of airfoil at design angle of attack, based on multi-island genetic algorithm, the airfoil parametric model is established by combining CST parameterization method with blunt trailing edge modification. The aerodynamic analysis is performed by XFOIL and the structural performance is analyzed by Matlab program to optimize the initial airfoil. The optimization results are compared with those of the initial airfoil DU91-W2-250 in terms of aerodynamic and structural aspects. The results show that the optimized airfoil has a higher lift coefficient and lift-drag ratio within the range of operating angle of attack, and the optimized airfoil has increased resistance to deformation, and the overall performance of the airfoil is better.

导出引用

王少聪, 田红艳, 汤志豪, 朱申安. 考虑结构特性的钝尾缘翼型气动优化设计[J]. 太阳能学报. 2025, 46(5): 612-618 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0150

Wang Shaocong, Tian Hongyan, Tang Zhihao, Zhu Shen’an. AERODYNAMIC OPTIMIZATION DESIGN OF BLUNT TRAILING EDGE AIRFOIL CONSIDERING STRUCTURLA CHARACTERISTICS[J]. Acta Energiae Solaris Sinica. 2025, 46(5): 612-618 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0150

中图分类号： TK83

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