用田口法研究枫树种子气动力设计参数在风力机叶片中的应用

Hung-Son Dang, Hoai-Nam Lai
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引用次数: 2

摘要

本研究以绿枫种子翅果为模拟对象,对其种子翅果的形状进行了分析。采用田口法进行了仿生风力机叶片的实验设置和参数设计,并利用ANSYS Fluent仿真软件对枫树种子机翼的气动特性和流动特性进行了数值计算。根据实验和仿真结果,利用Minitab17软件对数据进行分析。通过升力系数曲线的变化趋势分析,仿真结果表明绿枫种子翼的迎角范围较大,为$0 ^{\mathbf {0}}$ ~ $50^{\mathbf{0}}$,且无失速现象。优化设计参数的结果与最佳参数组合的结果吻合较好:A3(叶片数= 3),B3(掠面积= ${0.24\,\,\ mathm {m}} ^{\mathbf {2}}$), C2(迎角= $15^{\mathbf {0}}$), D2(稳定逆风= 5 m/s)。,这显示了空气动力学的优势。此外,风力机的风洞实验表明,3个仿生叶片,$0.24,$,$ mathm {m}^{\mathbf{2}}$扫面积,$15^{\mathbf{0}}$攻角,5 m/s稳定逆风条件下,最高的风/电功率转换效率可达37%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the Design Parameters of Maple seed’s Aerodynamic Force by Taguchi Method to Apply to Wind Turbine Blades
In the present study, the wing of the seed of the green maple was used as the imitated object, and the shape of the seed wing was analyzed. The setup of experiment and parameters design of the bionic wind turbine blade was then progressed by Taguchi method and the ANSYS Fluent simulation software was used to perform the numerical computations of the aerodynamic and flow characteristics of the wing of maple’s seed. Also, based on the experiment and simulation results, the Minitab17 software was used to analyze the data. The simulation results, by an inspection of the trend of the lift coefficient curves, indicated that the seed wing of the green maple has a larger range of angle of attack, $0 ^{\mathbf {0}}$ to $50^{\mathbf {0}}$, without a stall. The results for the optimal design parameters show a good agreement with the achievement for the best combination of the parameters are: A3 (the number of blade = 3), B3 (the swept area = ${0.24\,\,\mathrm{m}} ^{\mathbf {2}}$), C2 (the angle attack = $15^{\mathbf {0}}$) and D2 (the steady headwind = 5 m/s., which shows an aerodynamic advantage. In addition, the wind tunnel experiments of the wind turbine, with 3 bionic blades, $0.24\,\,\mathrm{m}^{\mathbf {2}}$ swept area, $15^{\mathbf {0}}$ angles of attack, and 5 m/s steady headwind conditions showed that the highest wind/electricity power transform efficiency can be reached up to 37%.
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