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Evaluation and validation of large-eddy simulation sub-grid spray dispersion models using high-fidelity volume-of-fluid simulation data and engine combustion network experimental data

机译:使用高保真体积仿真数据和发动机燃烧网络实验数据评估与验证大型仿真子网格喷雾分散模型

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A sub-grid model accounting for the interaction of spray and sub-grid turbulence was developed and tested. The model predicts the sub-grid scale dispersion velocity used for calculating the slip velocity in Lagrangian-Eulerian Large-eddy simulation spray models. The dispersion velocity is assumed to be decomposed into a deterministic and a stochastic part, and it is updated in every turbulence correlation time for each computational parcel. The model was validated against two datasets: volume-of-fluid simulations and Engine Combustion Network experiments. The volume-of-fluid data showed that dispersion velocities at the centerline are anisotropic. This qualitative feature is well captured by the current model. For the Engine Combustion Network Spray A cases, it was found that sub-grid scale dispersion has profound impact on the prediction of the spatial distribution of liquid mass. Neglecting the sub-grid scale dispersion model results in underprediction of the width of the lateral projected liquid mass density profiles. Also, the prediction of the projected liquid mass density is sensitive to the two model constants determining the sub-grid scale dispersion velocity magnitude and turbulence time scale. However, the predictions of resolved gas-phase statistics are relatively insensitive to different sub-grid scale dispersion model setups. The primary reason for this was investigated. It was found that the motion of high-momentum liquid blobs in the near-nozzle region leading to air entrainment and subsequent gas jet development is minimally influenced by sub-grid scale dispersion. The importance of sub-grid scale dispersion inversely correlates with drag force magnitude: the larger the drag force, the less critical the sub-grid scale dispersion. Moving further downstream, quasi-equilibrium between the two phases is established, resulting in relatively small slip velocity and drag force.
机译:开发并测试了用于喷雾和散网湍流相互作用的子网格模型。该模型预测了用于计算拉格朗日 - 欧拉大型仿真喷涂模型中的滑动速度的子网格刻度分散速度。假设分散速度被分解成确定性和随机部分,并且在每个计算包裹中的每个湍流相关时间中更新。该模型针对两个数据集进行了验证:流体体积模拟和发动机燃烧网络实验。流体体积数据显示,中心线的分散速度是各向异性的。目前模型很好地捕获了这个定性功能。对于发动机燃烧网络喷涂案例,发现子网格刻度分散对液体质量空间分布的预测产生了深刻的影响。忽略子网格刻度分散模型导致横向突出的液体质量密度剖面宽度的欠压。而且,突出的液体质量密度的预测对确定子网格尺度分散速度幅度和湍流时间尺度的两个模型常数敏感。然而,所解析的气相统计的预测对不同的子网格级分散模型设置相对不敏感。调查了这一点的主要原因。发现,在通向空气夹带和随后的气体喷射发育的近喷嘴区域中的高动量液体斑点的运动是通过子网格级分散的最小影响。子网格刻度分散的重要性与拖动力幅度相互关联:拖动力越大,子网格尺度分散的严重缺点。进一步下游移动,建立两相之间的准平衡,导致滑动速度和拖曳力相对较小。

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