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Wind-tunnel and CFD investigations of UAV landing gears and turrets - Improvements in empirical drag estimation

机译:无人机着陆齿轮和炮塔的风洞和CFD调查 - 经验拖曳估计的改进

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摘要

This paper analyzes the drag characteristics of several landing gear and turret configurations that are representative of unmanned aircraft tricycle landing gears and sensor turrets. A variety of these components were constructed via 3D-printing and analyzed in a wind-tunnel measurement campaign. Both turrets and landing gears were attached to a modular fuselage that supported both isolated components and multiple components at a time. Selected cases were numerically investigated with a Reynolds-averaged Navier-Stokes approach that showed good accuracy when compared to wind-tunnel data. The drag of main gear struts could be significantly reduced via streamlining their cross-sectional shape and keeping load carrying capabilities similar. The attachment of wheels introduced interference effects that increased strut drag moderately but significantly increased wheel drag compared to isolated cases. Very similar behavior was identified for front landing gears. The drag of an electro-optical and infrared sensor turret was found to be much higher than compared to available data of a clean hemisphere-cylinder combination. This turret drag was merely influenced by geometrical features like sensor surfaces and the rotational mechanism. The new data of this study is used to develop simple drag estimation recommendations for main and front landing gear struts and wheels as well as sensor turrets. These recommendations take geometrical considerations and interference effects into account. (c) 2020 Elsevier Masson SAS. All rights reserved.
机译:本文分析了几种着陆齿轮和炮塔配置的拖曳特性,这些炮台配置是无人驾驶飞机三轮车着陆齿轮和传感器炮塔的代表性。通过3D印刷构建各种这些组分并在风隧道测量运动中分析。两个炮塔和着陆齿轮都连接到一个模块化机身,一次支持隔离组件和多个组件。用雷诺平均的Navier-Stokes方法进行数值调查所选案例,与风隧道数据相比,良好的准确性。通过简化其横截面形状和保持负载承载能力,可以显着降低主齿轮支柱的阻力。车轮的附着引入了干扰效应,与隔离案例相比,增加支柱拖曳的滚动量增加,但显着增加的车轮阻力。对于前地着陆齿轮来确定非常相似的行为。发现电光和红外传感器转台的拖动远高于与清洁半球组合的可用数据相比。该炮塔拖拽仅受到传感器表面等几何特征的影响和旋转机构。本研究的新数据用于开发主和前起落架支柱和车轮以及传感器炮塔的简单拖曳估算建议。这些建议考虑了几何考虑和干扰效应。 (c)2020 Elsevier Masson SAS。版权所有。

著录项

  • 来源
    《Aerospace science and technology》 |2020年第12期|106306.1-106306.15|共15页
  • 作者单位

    FH Aachen Univ Appl Sci Dept Aerosp Engn Hohenstaufenallee 6 Aachen Germany|RMIT Univ Sch Engn 264 Plenty Rd Bundoora Vic 3083 Australia;

    FH Aachen Univ Appl Sci Dept Aerosp Engn Hohenstaufenallee 6 Aachen Germany;

    FH Aachen Univ Appl Sci Dept Aerosp Engn Hohenstaufenallee 6 Aachen Germany;

    RMIT Univ Sch Engn 264 Plenty Rd Bundoora Vic 3083 Australia;

    RMIT Univ Sch Engn 264 Plenty Rd Bundoora Vic 3083 Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    UAV; Landing gear; Turret; Drag estimation; Wind-tunnel; CFD;

    机译:UAV;着陆齿轮;炮塔;拖曳估计;风洞;CFD;

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