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Hub Flow Near-Wake Validation using CREATE™-AV Helios and UMD Mercury Framework

机译:使用Create™-av Helios和Umd Mercury框架,集线器流近唤醒验证

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Experimental near-wake flow field measurements from two Penn State University water tunnel tests of a defeatured helicopter hub are compared with two unsteady computational fluid dynamics (CFD) analyses, CREATE™-AV Helios and University of Maryland Mercury. Both CFD frameworks employ an unstructured/Cartesian multi-mesh paradigm and turbulent Spalart-Allmaras Detached Eddy Simulation (SA-DES) modeling. Experimental velocimetry measurements of mean wake velocities, harmonic content, and Reynolds stresses provide valuable validation data for CFD. Overall, the two CFD solvers were in good agreement with each other and qualitatively captured the mean and harmonic content of the wake structures with accuracy. Flow feature dissimilarities between the advancing and retreating sides were differentiated and indicated dominant regions of harmonic flow disturbances biased toward the retreating side, in good agreement with experimental observations. Quantitatively, some variation in velocity deficits and downwash were noted, either in profile character, magnitude, and/or location. Encouragingly, there was little tendency of excessive dissipation in the CFD near wake, and the harmonic content actually tended towards a common overprediction. Reynolds number effects were minimal, and grid density effects were studied but inconclusive. These efforts were part of the 3rd PSU Rotor Hub Flow Workshop in 2020.
机译:两位宾夕法尼亚州立大学水隧道试验的实验近尾流场测量与失败的直升机集线器的隧道试验相比,两个不稳定的计算流体动力学(CFD)分析,Create™-av Helios和马里兰大学汞。 CFD框架都采用了一个非结构化/笛卡尔多网格范例和湍流Spalart-Allmaras独立式涡流模拟(SA-DES)建模。平均唤醒速度,谐波含量和雷诺应力的实验速度测量为CFD提供了有价值的验证数据。总的来说,两个CFD求解器彼此吻合良好,并定性以精度捕获了唤醒结构的平均值和谐波含量。与实验观察的良好协议,进步和退缩侧之间的流动特征差异化,并指出了朝向退缩侧偏向的谐波流动紊乱的主导区域。定量地,注意到速度缺陷和淋污的一些变化,在轮廓字符,幅度和/或位置。令人鼓舞的是,在靠近唤醒时,CFD的过度耗散倾向几乎没有倾向,谐波含量实际上朝着共同的过度预测。 Reynolds数效应最小,并且研究了网格密度效应,但尚无定论。这些努力是2020年第3 PSU转子集线器流动车间的一部分。

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