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Aerodynamics of low aspect ratio wings at low Reynolds numbers with applications to micro air vehicle design.

机译:低雷诺数下低长宽比机翼的空气动力学特性,应用于微型飞行器设计。

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The recent interest in the development of small UAVs and micro air vehicles has revealed a need for a more thorough understanding of the aerodynamics of small airplanes flying at low speeds. In response to this need, the present work presents a study of the lift, drag, and pitching moment characteristics of wings of low aspect ratio operating at low Reynolds numbers. Wind tunnel tests of wings with aspect ratios between 0.5 and 2.0, four distinct planforms, thickness-to-chord ratios of ≈2%, and 5-to-1 elliptical leading edges have been conducted as part of this research. The Reynolds numbers considered were in the range of 70,000 to 200,000. Analysis of the data includes comparison of lift-curve slope, induced-drag coefficient, and maximum lift coefficient with theory, discussion of aerodynamic center, and the effects of Reynolds number, camber, and leading-edge shape.; As an example of an application of this wind tunnel data, the experimental results are implemented within an aircraft performance prediction procedure. This procedure is incorporated into a genetic algorithm optimization program that identifies near-optimum MAV configurations given certain requirements and constraints. Results obtained by use of this optimization procedure have revealed that useful design tools can be developed based on the experimental database.
机译:对小型无人机和微型飞行器的最新发展兴趣表明,需要对低速飞行的小型飞机的空气动力学有更彻底的了解。响应于此需求,本工作提出了在低雷诺数下工作的低纵横比机翼的升力,阻力和俯仰力矩特性的研究。作为这项研究的一部分,已经进行了长宽比在0.5到2.0之间,四种不同的平面形式,厚度与弦比为2%以及椭圆比为5到1的椭圆形机翼的风洞测试。考虑的雷诺数在70,000到200,000之间。数据分析包括将升力曲线斜率,感应阻力系数和最大升力系数与理论进行比较,讨论空气动力中心,以及雷诺数,外倾角和前缘形状的影响。作为此风洞数据的应用示例,实验结果在飞机性能预测程序中实现。此过程已合并到遗传算法优化程序中,该程序可以在给定某些要求和约束的情况下识别接近最佳的MAV配置。通过使用此优化过程获得的结果表明,可以基于实验数据库开发有用的设计工具。

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