用分析技术测定固定翼无人机的气动特性

IF 0.3 Q4 MECHANICS
Kuatbay Ismailov
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引用次数: 0

摘要

本文对快速确定固定翼无人机气动特性的方法进行了理论研究。研究的目的是为飞机形状优化问题创建工具。发展的分析技术允许人们确定气动升力和阻力系数以及基于飞机一般特性的效率特性。其他可以导出的特性有翼形参数、起飞质量、结构质量以及根据规定的飞行性能特性要求的推进和供电系统的特性。将这些技术用于具有数值或实验获得的气动特性的离散点,可以将结果外推到整个操作攻角范围。因此,无人机的概念和初步设计阶段可以在较短的时间内通过。托木斯克国立大学已经设计了两架无人机,使用了所提出的技术。第一种是初步设计的无人机原型- 2e;第二种是原型- 2t无人机,已经完全设计然后制造。利用这些技术在托木斯克国立大学的SKIF Cyberia超级计算机上计算的数据与在OpenFOAM和ANSYS Fluent中实现的数值模拟结果进行了比较。结果显示出良好的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of aerodynamic characterisitcs of fixed-wing unmanned aerial vehicle by analytical techniques
This paper presents a theoretical study of quick methods for determining the aerodynamic characteristics of fixed-wing unmanned aerial vehicles (UAVs). The purpose of the research is to create tools for aircraft shape optimization problems. The developed analytical techniques allow one to determine aerodynamic lift and drag coefficients as well as the efficiency characteristics based on the aircraft general characteristics. Other properties that can be derived are the wing shape parameters, the take-off mass, the structural mass, and the required characteristics of the propulsion and power supply system according to the specified flight performance characteristics. The use of these techniques for discrete points with aerodynamic characteristics obtained numerically or experimentally allows one to extrapolate the results to the entire range of operating angles of attack. As a result, the stages of conceptual and preliminary design of UAVs can be passed in a shorter span of time. Two UAVs have been designed in Tomsk State University with the use of the proposed techniques. The first is the preliminary designed UAV Prototype-2E; the second is the Prototype-2T UAV, which has been fully designed and then manufactured. The data calculated with these techniques on a SKIF Cyberia supercomputer in Tomsk State University are compared with the results of numerical simulations implemented in OpenFOAM and ANSYS Fluent. Good agreement of the results is revealed.
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来源期刊
CiteScore
0.90
自引率
66.70%
发文量
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