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The Passive Separation Control of an Airfoil Using Self-adaptive Hairy Flaps

机译:使用自适应毛纹翼型的无源分离控制

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In recent years, researchers have found that separation control could increase the mean lift, decrease the drag, delay stall, reduce noise and influence the transition to turbulence, which has a significant economic and ecological impact on society, and it has been used extensively in the design of unmanned aerial vehicles (UAVs) and micro aerial vehicles (MAVs), which operate at low Reynolds numbers. In this paper, the passive separation control of a NACA0012 airfoil at Reynolds number Re= 1000 using self-adaptive hairy flap is investigated. The fluid motion is obtained by solving the discrete lattice Boltzmann equation, the dynamics of the flaps are calculated by the finite element method (FEM), and the coupling of flap dynamics and flow dynamics is handled by the immersed boundary method (IBM). Aerodynamic performance is quantified by the mean drag and mean lift of the NACA0012 airfoil. The influence of the flap parameters (quantity, length, rigidity and position) on the aerodynamic performance is investigated and a mean drag reduction and lift increment under a certain circumstance are observed.
机译:近年来,研究人员发现分离控制可能会增加平均升力,减少阻力,延迟摊位,降低噪音,影响到湍流的过渡,这对社会具有重要的经济和生态影响,并且已广泛使用无人驾驶飞行器(无人机)和微空气车辆(MAVS)的设计,在低雷诺数下运行。在本文中,研究了使用自适应毛纹旋转雷诺数Re = 1000的NaCa0012翼型的无源分离控制。通过求解离散格子Boltzmann方程来获得流体运动,通过有限元方法(FEM)计算襟翼的动态,并且通过浸没的边界法(IBM)处理襟翼动力学和流动动态的耦合。通过NaCA0012翼型的平均阻力和平均升降量来量化空气动力学性能。研究了襟翼参数(数量,长度,刚度和位置)对空气动力学性能的影响,并且观察到在某些情况下减少平均阻力和提升增量。

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