无人机结冰:LEWICE和FENSAP-ICE对结冰和性能退化的比较

R. Hann
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引用次数: 21

摘要

目前无人机操作包线的主要限制之一是大气结冰的风险。无人机结冰的研究还不是很好,本文旨在更好地理解如何模拟无人机翼型上的结冰和气动性能下降。具体而言,目标是研究基于面板方法的代码与现代CFD结冰代码的比较效果。LEWICE和FENSAP-ICE用于在NREL S826翼型上产生低雷诺数的三种特征2D冰形状(霜,釉,混合)。进行RANS计算以评估由此产生的气动性能退化。利用文献资料验证了冰增长预测。在南京理工大学(NTNU)的一个(不结冰)风洞进行了实验,验证了气动性能的下降。数值结果表明,结冰形态对两种程序捕捉冰形和气动惩罚的能力有重要影响。雾凇的模拟结果是一致的,而混合色和釉色的预测结果则存在显著差异。所有结冰情况都会降低最大升力、减小失速角和增加阻力,从而对飞机的气动性能产生负面影响。
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UAV Icing: Comparison of LEWICE and FENSAP-ICE for Ice Accretion and Performance Degradation
One of the main limitations of the operational envelope of UAVs today is the risk of atmospheric icing. UAV icing is not well researched and this paper aims to generate a better understanding of how ice accretion and aerodynamic performance degradation on UAV airfoils can be simulated. In particular, the objective is to investigate how well a panel-method based code compares to a modern CFD icing code. LEWICE and FENSAP-ICE are used to generate three characteristic 2D ice shapes (rime, glaze, mixed) on a NREL S826 airfoil for low Reynolds numbers. RANS calculations are performed to assess the resulting aerodynamic performance degradation. Validation of the ice growth predictions is achieved by using literature data. Aerodynamic performance degradation is validated with experimental results from a (non-icing) wind tunnel at NTNU. The numerical results indicate that icing morphology has a major influence on the ability of both codes to capture ice shape and aerodynamic penalties. Rime is simulated consistently, whereas predictions for mixed and glaze show significant differences. All ice cases negatively impact the aerodynamic performance by reducing maximum lift, decreasing stall angle and increasing drag.
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