基于遗传算法的磁悬浮列车升力翼的翼型及外形结构优化

杜礼明 ,  李永进 ,  李建

科学技术与工程 ›› 2024, Vol. 24 ›› Issue (29) :12715-12722

PDF (14284KB)
科学技术与工程 ›› 2024, Vol. 24 ›› Issue (29) :12715-12722 DOI: 10.12404/j.issn.1671-1815.2307054
交通运输

基于遗传算法的磁悬浮列车升力翼的翼型及外形结构优化

作者信息 +

Genetic Algorithm-based Optimization of Airfoil and Shape Structure of Lifting Wing for Magnetic Levitation Train

Author information +
文章历史 +

摘要

翼型对于高速列车升力翼的气动性能影响明显,为进一步提高升力翼的增升性能,对磁悬浮列车升力翼的翼型和外形结构优化很有必要。选用翼型NACA BR 63-55-12作为高速列车升力翼的基础翼型,利用遗传算法与CFD相结合的方法对基础翼型进行优化,对基础翼型和优化后的翼型进行气动性能对比分析,在此基础上建立了升力翼的气动仿真模型,研究了翼尖小翼和支撑杆形状对气动性能的影响。结果表明:优化后翼型气动特性出现明显提升,其中升力系数提高23.2%,阻力系数降低0.67%,升阻比提高;升力翼翼尖加装小翼起到增强翼尖涡耗散作用,安装小翼的升力翼的升阻比平均增大约6.7%;升力翼的3种截面中椭圆形的支撑杆阻力最小,在3种截面形状中最大。

Abstract

The airfoil has an obvious effect on the aerodynamic performance of the lift wing of high-speed train. In order to further improve the performance of the lift wing, it is necessary to optimize the airfoil and shape structure of the lift wing of maglev train. Airfoil NACA BR 63-55-12 was selected as the basic airfoil of the lifting wing of the high-speed train. The combination of genetic algorithm and CFD was used to optimize the basic airfoil, and the aerodynamic performance of the basic airfoil and the optimized airfoil was compared and analyzed. On this basis, the aerodynamic simulation model of the lifting wing was established. The influence of the shape of winglets and support rods on aerodynamic performance was discussed. The results indicate that the aerodynamic characteristics of the optimised airfoil are significantly improved, in which the lift coefficient is increased by 23.2%, the drag coefficient is reduced by 0.67%, and the lift-to-drag ratio is increased. The installation of winglets at the wing tip of the lift airfoil enhances the vortex dissipation at the wing tip, and the lift-to-drag ratio of the lift airfoil with the installation of the winglets is increased by about 6.7% on the average. The drag of the strut bar of the lift airfoil with an elliptical shape is the smallest among the three cross-sections, and the drag of the strut bar is the largest among the three cross-sectional shapes.

关键词

遗传算法 / 升力翼 / 磁悬浮列车 / 翼型 / 气动特性 / 小翼

Key words

genetic algorithm / lifting wing / maglev train / airfoil profile / aerodynamic characteristics / winglet

引用本文

引用格式 ▾
杜礼明, 李永进, 李建. 基于遗传算法的磁悬浮列车升力翼的翼型及外形结构优化[J]. 科学技术与工程, 2024, 24(29): 12715-12722 DOI:10.12404/j.issn.1671-1815.2307054
DU Li-ming, LI Yong-jin, LI Jian. Genetic Algorithm-based Optimization of Airfoil and Shape Structure of Lifting Wing for Magnetic Levitation Train[J]. Science Technology and Engineering, 2024, 24(29): 12715-12722 DOI:10.12404/j.issn.1671-1815.2307054

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

基金资助

国家自然科学基金(11202043)

辽宁省自然科学基金(201602112)

PDF (14284KB)

38

访问

0

被引

详细

导航
相关文章

/

〈 〉