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首页> 外文期刊>HVAC&R research >Comparison of Large Eddy Simulation Predictions with Particle Image Velocimetry Data for the Airflow in a Generic Cabin Model
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Comparison of Large Eddy Simulation Predictions with Particle Image Velocimetry Data for the Airflow in a Generic Cabin Model

机译：通用机舱模型中大涡模拟预测与气流粒子图像测速数据的比较

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摘要

A comparison of computational fluid dynamics (CFD) predictions and experimental data for the airflow in a generic cabin model is presented in this paper. The CFD predictions were generated using the large eddy simulation (LES) model, while the particle image velocimetry (PIV) technique was used to obtain the experimental data. A brief summary of the test setup and the experimental data are described herein. The main focus of this study is to analyze the temporal variation of the experimental data. The time series of the PIV measured velocity components with sampling frequencies of 0.1 and 5 Hz were compared with the CFD predictions, sampling at 20 Hz. Energy spectral analysis, through fast Fourier transformation (FFT) on the PIV data and their CFD counterparts, was performed and is presented in this study. By using direct comparisons of the velocity data, good agreement on the range of the velocity components was obtained at all monitoring locations, hence validating the LES predictions. A similar conclusion can be reached from the results of the energy spectral analysis. The energy-spectrum function calculated from the LES predicted velocity magnitudes has excellent correlation with the Kolmogorov spectrum law in the universal equilibrium range. For the smaller wave numbers, the PIV data taken at 0.1 Hz clearly reveal the characteristic motion of the largest eddy in the flow domain, and it correlates very well with the CFD predictions.
机译：本文介绍了通用客舱模型中的计算流体动力学（CFD）预测和气流实验数据的比较。 CFD预测是使用大涡模拟（LES）模型生成的，而粒子图像测速（PIV）技术则用于获取实验数据。本文介绍了测试设置和实验数据的简要摘要。这项研究的主要重点是分析实验数据的时间变化。将PIV测量的速度分量的时间序列（采样频率为0.1和5 Hz）与CFD预测进行比较，以20 Hz采样。通过对PIV数据及其CFD对应物进行快速傅里叶变换（FFT）进行能谱分析，并在本研究中进行了介绍。通过使用速度数据的直接比较，在所有监视位置都获得了关于速度分量范围的良好一致性，因此验证了LES预测。从能谱分析的结果可以得出类似的结论。由LES预测的速度大小计算出的能量谱函数在普遍平衡范围内与Kolmogorov谱定律具有极好的相关性。对于较小的波数，以0.1 Hz采集的PIV数据清楚地揭示了流域中最大涡流的特征运动，并且与CFD预测非常相关。

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