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Aerodynamic Investigations of UAV Sensor Turrets -A Combined Wind-tunnel and CFD Approach

机译:UAV传感器转台的空气动力学调查-A组合风隧道和CFD方法

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This paper presents unsteady RANS investigations of eight different electro-optical and infrared sensor turret geometries for UAVs. The simulations are validated by comparing them to wind-tunnel drag data of a sensor turret and show good comparability. All turrets feature several sensor surfaces and a dedicated mechanism for 360° field-of-view orientation. The investigations find a variety of vortical structures that surround the turrets, including horseshoe vortices and wake vortices. High levels of flow separation are observed both on sharp sensor surfaces and the edges of the rotational mechanism. This significant flow separation increases drag compared to clean hemisphere-cylinder turrets. The data was used to derive a new and averaged drag coefficient for sensor turrets that can be used in an empirical drag estimation environment. This new drag coefficient is more than 40% higher than compared to clean hemisphere-cylinder turrets.
机译:本文介绍了八种不同电光和红外传感器转塔几何的不稳定RAN调查,用于无人机。 通过将它们与传感器炮塔的风洞拖动数据进行比较来验证模拟,并显示出良好的可比性。 所有炮塔都具有多个传感器表面和360°视野方向的专用机构。 调查找到了各种涡卷的涡旋结构,包括马蹄涡流和唤醒漩涡。 在尖锐的传感器表面和旋转机构的边缘上观察到高水平的流量分离。 与清洁半球缸炮塔相比,这种显着的流动分离增加了阻力。 数据用于导出可以用于经验拖动估计环境的传感器转台的新的和平均阻力系数。 与清洁半球缸炮塔相比,这种新的阻力系数高于40%以上。

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