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Method for Quantifying the Distribution of Bound Circulation on Rotor Blades

机译:用于量化转子叶片上束缚循环分布的方法

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A method for identifying vortical structures and calculating the circulation of the wake trailed from a rotor blade is introduced, similar to a Trefftz plane analysis for fixed-wings. A depth-first search algorithm was developed based on a vorticity threshold to identify clusters of cells defining a single vortex based. This algorithm is computationally efficient and is used to identify both positive and negative circulation. Furthermore, a non-dimensional vorticity threshold parameter was introduced that was a function of an assumed vortex model (the n = 2 Vatistas model in this study) and the blade loading coefficient of the rotor. The developed algorithm was applied to high-resolution flow field images behind a rotor hovering out-of-ground effect obtained using particle image velocimetry measurements. These measurements were used to validate and show potential applications of this method. The net circulation trailed by the blade was used to infer the blade bound circulation and compared to predictions from blade element momentum theory (BEMT). The calculated wake circulation was found to be more sensitive to threshold selection than the tip-vortex, resulting in the calculated bound circulation being sensitive to threshold selection.
机译:介绍了一种识别涡流结构和计算从转子叶片落后的叶片循环的方法,类似于固定翼的Trefftz平面分析。基于涡流阈值开发了深度第一搜索算法,以识别基于单个涡流的细胞集群。该算法是计算上高效的,用于识别正极和负循环。此外,引入了非尺寸涡度阈值参数,其是假定的涡流模型(本研究中的n = 2 Vatistas模型)以及转子的叶片加载系数的函数。将开发的算法应用于转子后面的高分辨率流场图像,悬停使用粒子图像速度测量测量获得的接地效果。这些测量用于验证和显示该方法的潜在应用。叶片落后的净循环用于推断叶片结合的循环,并与叶片元素动量理论(BEMT)的预测相比。发现计算的尾流循环比尖端涡流更敏感,导致计算的结合循环对阈值选择敏感。

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