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Enriching MRI mean flow data of inclined jets in crossflow with Large Eddy Simulations

机译:利用大涡模拟丰富横流中倾斜射流的MRI平均流量数据

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Measurement techniques such as Magnetic Resonance Velocimety (MRV) and Magnetic Resonance Concentration (MRC) are useful for obtaining 3D time-averaged flow quantities in complex turbulent flows, but cannot measure turbulent correlations or near-wall data. In this work, we use highly resolved Large Eddy Simulations (LES) to complement the experiments and bypass those limitations. Coupling LES and magnetic resonance experimental techniques is especially advantageous in complex non-homogeneous flows because the 3D data allow for extensive validation, creating confidence that the simulation results portray a physically realistic flow. As such we can treat the simulation as data, which "enrich" the original MRI mean flow results. This approach is demonstrated using a cylindrical and inclined jet in crossflow with three distinct velocity ratios, r = 1, r = 1.5, and r = 2. The numerical mesh is highly refined in order for the subgrid scale models to have negligible contribution, and a systematic, iterative procedure is described to set inlet conditions. The validation of the mean flow data shows excellent agreement between simulation and experiments, which creates confidence that the LES data can be used to enrich the experiments with near-wall results and turbulent statistics. We also discuss some mean flow features and how they vary with velocity ratio, including wall concentration, the counter rotating vortex pair, and the in-hole velocity.
机译:诸如磁共振速度(MRV)和磁共振浓度(MRC)之类的测量技术可用于获得复杂湍流中的3D时间平均流量,但无法测量湍流相关性或近壁数据。在这项工作中,我们使用高度解析的大型涡模拟(LES)来补充实验并绕过这些限制。 LES和磁共振实验技术的耦合在复杂的非均匀流中特别有利,因为3D数据可以进行广泛的验证,从而使人相信模拟结果可以描绘出物理上真实的流。因此,我们可以将模拟视为数据,从而“丰富”原始MRI平均流量结果。使用圆柱流和倾斜射流以三种不同的速度比,r = 1,r = 1.5,r = 2证明了这种方法。数值网格经过高度精炼,以使子网格比例模型的贡献可忽略不计,并且描述了设置入口条件的系统的迭代过程。平均流量数据的验证表明模拟和实验之间具有极好的一致性,这使人们相信LES数据可用于利用近壁结果和湍流统计来丰富实验。我们还将讨论一些平均流量特征及其随速度比的变化,包括壁面浓度,反向旋转涡流对和井内速度。

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