A CFD-aided investigation of the morphing winglet concept for the performance optimization of fixed-wing MALE UAVs 机翻标题: 暂无翻译,请尝试点击翻译按钮。

会议集名/来源
36th AIAA applied aerodynamics conference 2018, vol. 5: 36th AIAA applied aerodynamics conference held at the AIAA aviation forum 2018, 25-29 June 2018, Atlanta, Georgia, USA
出版年
2018
页码
3258-3271
会议地点
Atlanta
作者单位
Laboratory of Fluid Mechanics & Turbomachinery, Dept. of Mechanical Engineering, Aristotle University of Thessaloniki, GreeceLaboratory of Fluid Mechanics & Turbomachinery, Dept. of Mechanical Engineering, Aristotle University of Thessaloniki, GreeceLaboratory of Fluid Mechanics & Turbomachinery, Dept. of Mechanical Engineering, Aristotle University of Thessaloniki, GreeceLaboratory of Fluid Mechanics & Turbomachinery, Dept. of Mechanical Engineering, Aristotle University of Thessaloniki, Greece
作者
P. Panagiotou;M. Efthymiadis;D. Mitridis;K. Yakinthos
摘要
An investigation of the morphing winglet concept on a Medium Altitude Long Endurance Unmanned Aerial Vehicle (MALE UAV) platform by means of CFD is presented in this work. The baseline wing and winglet configurations correspond to an already existing MALE UAV platform, whereas the winglet cant angle is selected as the morphing parameter. More specifically, seven different cant angle configurations are computationally examined in three pre-defined flight segments, at several angles of attack, by solving the RANS equations. Using the data from the computational analyses, the polynomial equations that best describe the lift curve, drag polar, L/D ratio, and root bending moment are extracted through interpolation and the performance maps of the morphing wingtip are drawn. The potential benefits are evaluated using dedicated performance metrics, by employing in-house performance assessment tools. A morphing mechanism, along with its corresponding weight penalty and integration issues are also presented and discussed. The results of this study show that the morphing winglet concept can be used to fine-tune the flight performance of a long endurance UAV, by adopting on the needs of the various mission segments on-demand.
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