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Effects of Planform Geometry on Mechanical Samara Autorotation Efficiency and Rotational Dynamics

机译:平面几何形状对机械Samara自转效率和旋转动力学的影响

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摘要

An experimental methodology intended to characterize the autorotation efficiency and vehicle dynamics of samara-like micro-air vehicles is presented. The scale inherent in these vehicles precludes the use of most conventional in situ sensors, so data collection is limited to external observation. The studies presented herein demonstrate a new technique for collecting flight data from a vision-based, motion-capture system. A test apparatus has been constructed to yield repeatable initial conditions, minimizing uncertainty of the samara's dynamic state prior to data collection. The test specimen is constructed of an ultraviolet-cured liquid polymer, which is dispensed and cured via the use of a rapid prototyping machine. The mechanical samaras in this study are compared on the basis of equal wing loading. The results of these experiments identify a geometry for a minimal descent rate as well as producing a quantitative Fourier series representation of the roll and pitch. In addition, a new relationship has been established, which elucidates trends in samara descent velocity not captured by wing loading or disk loading. This information will aid in the development and validation of an inflow model for the mechanical samara.
机译:提出了一种旨在表征像萨马拉那样的微型飞机的自动旋转效率和车辆动力学特性的实验方法。这些车辆固有的规模使得大多数传统的原位传感器无法使用,因此数据收集仅限于外部观察。本文介绍的研究证明了一种新技术,用于从基于视觉的运动捕捉系统中收集飞行数据。已经构造了测试设备以产生可重复的初始条件,从而在数据收集之前将翼果的动态状态的不确定性最小化。试样由紫外线固化的液态聚合物构成,通过使用快速成型机进行分配和固化。在相同机翼载荷的基础上对本研究中的机械翼马进行了比较。这些实验的结果确定了最小下降率的几何形状,并产生了滚动和俯仰的定量傅里叶级数表示。另外,已经建立了新的关系,其阐明了翼负载或盘负载未捕获的翼果下降速度的趋势。此信息将有助于开发和验证机械翼果的流入模型。

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