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GENETIC ALGORITHM-BASED DESIGN OF AIRFOIL FOR THE ROOT REGION OF SMALL WIND TURBINES AND PERFORMANCE ANALYSIS WITH GURNEY FLAPS

机译:基于遗传算法的小风轮机根部翼型设计及格尼襟翼性能分析

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The root region of small wind turbines experience low Reynolds number (Re) flow that makes it difficult to design airfoils that provide good aerodynamic performance and at the same time, provide structural strength. In the present work, a multi-objective genetic algorithm code was used to design airfoils that are suitable for the root region of small wind turbines. A composite Bezier curve with two Bezier segments and 16 control points (11 of them controlled) was used to parametrize the airfoil problem. Geometric constraints including suitable curvature conditions were enforced to maintain the airfoil thickness between 18% and 22% of chord and a trailing edge thickness of 3% of chord. The objectives were to maximize the lift-to-drag ratio for both clean and soiled conditions. Optimization was done by coupling the flow solver to a genetic algorithm code written in C++, at Re = 200,000 and for angles of attack of 4 and 10 degrees, as the algorithm was found to give smooth variation of lift-to-drag ratio within such a range. The best airfoil from the results was tested in the wind tunnel as well as using ANSYS-CFX. The experimental airfoil had a chord length of 75 mm and was provided with 33 pressure taps. Testing was done for both free and forced transition cases. The airfoil gave the highest lift-to-drag ratio at an angle of 6 degrees with the ratio varying very little between 4 degrees and 8 degrees. Forced transition at 8% of chord did not show significant change in the performance indicating that the airfoil will perform well even in soiled condition. Fixed trailing edge flaps (Gurney flaps) were provided right at the trailing edge on the lower surface. The lift and drag behavior of the airfoil was then studied with Gurney Flaps of 2% and 3% heights, as it was found from previous studies that flap heights of 1% or greater than 3% do not give optimum results. The flaps considerably improved the suction on the upper surface and also improved the pressure on the lower surface, resulting in a higher lift coefficient; at the same time, there was also an increase in the drag coefficient but it was less compared to the increase in the lift coefficient. The results indicate that Gurney flaps can be effectively used to improve the performance of thick trailing edge airfoils designed for the root region of small wind turbines.
机译:小型风力涡轮机的根部区域具有较低的雷诺数(Re)流量,这使得很难设计出具有良好空气动力学性能并同时提供结构强度的机翼。在目前的工作中,多目标遗传算法代码用于设计适合小型风力发电机根部区域的机翼。使用具有两个贝塞尔曲线段和16个控制点(其中11个控制点)的复合贝塞尔曲线来对机翼问题进行参数化。强制执行包括适当曲率条件在内的几何约束,以使翼型厚度保持在弦的18%至22%之间,后缘厚度保持在弦的3%之间。目标是在干净和脏污的条件下最大程度地提高升阻比。通过将流动求解器耦合到用C ++编写的遗传算法代码(在Re = 200,000且攻角为4度和10度)下进行了优化,因为发现该算法可在此范围内使升阻比平滑变化一个范围。在风洞中以及使用ANSYS-CFX都测试了结果最佳的机翼。实验翼型的弦长为75 mm,并配有33个压力龙头。对自由和强制转换案例都进行了测试。翼型在6度角时具有最高的升阻比,而该比率在4度至8度之间变化很小。在弦的8%处进行强制过渡不会显示出明显的性能变化,这表明机翼即使在受污染的情况下也将表现良好。固定的后缘襟翼(Gurney襟翼)位于下表面的后缘。然后,使用2%和3%高度的格尼襟翼研究了机翼的升力和阻力行为,因为从先前的研究中发现,襟翼高度为1%或大于3%不能给出最佳结果。襟翼大大提高了上表面的吸力,还改善了下表面的压力,从而提高了升力系数;同时,阻力系数也有所增加,但与升力系数的增加相比却较小。结果表明,格尼襟翼可以有效地用于改善为小型风力涡轮机的根部区域设计的厚后缘翼型的性能。

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