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AERODYNAMIC INTERACTIONS STUDY ON LOW-RE COAXIAL AND QUAD-ROTOR CONFIGURATIONS

机译:低重轴承和四转子配置的空气动力学相互作用研究

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Unmanned multi-rotor VTOL vehicles have recently gained importance in various applications such as videography, surveillance, search and rescue etc. suited to their small size and relatively cheap construction. Small scale UAVs struggle in providing satisfactory performance in terms ofpayload, range, and endurance because of higher viscosity-dominated losses, and due to yet to be understood rotor-rotor and rotor-airframe aerodynamic interactions. Viscosity dominated rotational flow field makes most potential flow methods, such as free wake model, invalid. A full N-S based approach for this problem is too expensive. Thus, a multi-rotor aerodynamic interaction study is necessary for understanding crucial phenomena, which will help in developing physics-based models which will be instrumental in multi-rotor UAVperformance prediction and design optimization. In present work, a flow visualization and a high-speed stereo Particle Image Velocimetry (SPIV) study is done on two low Reynolds number multi-rotor arrangements with the aim of capturing vortex-vortex, blade-vortex and vortex-duct interactions. The first arrangement is a coaxial rotor in forward flight and another is an in-plane quad-rotor with and without duct. Instantaneous and average PIV data is being presented here with some observations and corresponding interpretations.
机译:无人驾驶的多转子VTOL车辆最近在各种应用中获得了适用于其体积小的尺寸和相对便宜的建筑的各种应用中的重要性。小规模无人机在提供令人满意的性能方面,由于粘度占主导地位的损失,并且由于尚未理解的转子 - 转子和转子空气动力学相互作用,因此令人满意的性能。粘度主导的旋转流场使大多数潜在的流动方法,例如自由唤醒模型,无效。这个问题的全基于N-S的方法太贵了。因此,多转子空气动力学相互作用研究是理解关键现象所必需的,这将有助于开发基于物理的模型,这将在多转子uviperformance预测和设计优化中有乐器。在目前的工作中,流动可视化和高速立体粒子图像VELOCIMETRY(SPIV)研究是在两个低雷诺数多转子布置上进行的,目的是捕获涡旋涡旋,叶片涡旋和涡旋管相互作用。第一布置是在前向飞行中的同轴转子,另一个布置是具有和没有管道的平面内转子。这里正在这里呈现瞬时和平均PIV数据以及一些观察结果和相应的解释。

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