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作 者:Haoran LI Yufei ZHANG Haixin CHEN
机构地区:[1]School of Aerospace Engineering,Tsinghua University,Beijing 100084,China
出 处:《Chinese Journal of Aeronautics》2022年第4期118-133,共16页中国航空学报(英文版)
基 金:supported by the National Key Project of China(No.GJXM92579);the National Natural Science Foundation of China(Nos.92052203 and 11872230 and 91852108)。
摘 要:Natural ice accretion on the lifting surface of an aircraft is detrimental to its aerodynamic performance, as it changes the effective streamlined body. The main focus of this work considers the optimization design of airfoils under atmospheric icing conditions for the Unmanned Aerial Vehicle(UAV). The ice formation process is simulated by the Eulerian approach and the three-dimensional Myers model. A three-equation turbulence model is implemented to accurately predict the stall performance of the iced airfoil. In recognition of the real atmospheric variability in the icing parameters, the medium volume diameter of supercooled water droplets is treated as an uncertainty with an assumed probability density function. A technique of polynomial chaos expansion is used to propagate the input uncertainty through the deterministic system. The numerical results show that the multipoint/multiobjective optimization strategy can efficiently improve both the ice tolerance and the cruise performance of an airfoil. The reason for the focus on robust optimization is that the ice angle of the optimized airfoil becomes less critical to the incoming flow.The optimized airfoils are applied to a UAV platform, in which the performance improvement and the relevant key flow feature are both preserved.
关 键 词:Aircraft icing Ice-accretion Ice-tolerant airfoil Optimization design Separated flow UAV
分 类 号:V279[航空宇航科学与技术—飞行器设计]
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