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Development and Application of a CFD-based Engineering Analysis of Hover Performance

机译:基于CFD的悬停性能工程分析的开发和应用

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The vorticity embedding method for the prediction of rotor hover performance, as implemented in the Helix-Ia code, is shown to be suitable for use as a routine engineering tool — it is probably the first CFD hover analysis to attain this capability. This is the result of improvements to the wake representation and increased code speed. Two landmark experiments are the basis for validation computations shown herein. Comparison with the model UH-60A data of Lorber et al. shows that the method predicts hover performance, wake configuration and blade loads; that is, it accurately predicts performance and the measured bases for that performance. The second experiment used for validation is the multi-blade-number test of Knight and Hefner (K-H), which shows the ability to predict a wide number of different rotor configurations. The little-known K-H work also includes a blade-element-momentum analysis in which a useful set of similarity scaling variables was discovered. Not only do the present computations agree well with the K-H data, but K-H scaling permits the comparisons (for four rotors of different blade number) to be contained within two curves, one for scaled thrust coefficient and one for a modified/scaled torque coefficient. The generality of the K-H scaling (explored herein using the Helix-Ia code) is remarkable and such scaling (or a variant thereof) is recommended for future presentations of hover performance results.
机译:如Helix-Ia代码所示,用于预测转子悬停性能的涡度嵌入方法被证明适合用作常规工程工具-这可能是获得此功能的第一个CFD悬停分析。这是改进唤醒表示和提高代码速度的结果。两个标志性实验是此处所示验证计算的基础。与Lorber等人的UH-60A模型数据进行比较。表明该方法可以预测悬停性能,尾流配置和刀片负载;也就是说,它可以准确地预测性能以及该性能的测量基础。用于验证的第二个实验是Knight和Hefner(K-H)的多叶片数测试,该测试显示了预测多种不同转子配置的能力。鲜为人知的K-H工作还包括叶片元素动量分析,其中发现了一组有用的相似度缩放变量。本计算不仅与K-H数据很好地吻合,而且K-H缩放允许将比较(对于不同叶片数的四个转子)包含在两条曲线中,一条用于缩放推力系数,另一条用于修改/缩放的扭矩系数。 K-H缩放比例的通用性(本文使用Helix-Ia代码进行了探讨)非常出色,建议将此类缩放比例(或其变体)用于悬停性能结果的将来表示。

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