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Sub-grid Scale Modeling of Turbulent Spray Flame using Regularized Deconvolution Method

机译:基于规则反褶积法的湍流喷雾火焰亚网格尺度建模

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A new model based on regularized deconvolution methods (RDM) is developed for the closure of sub-grid scale (SGS) terms in turbulent spray combustion. Previous a priori numerical studies of these flames have identified sensitivities to the turbulence-droplet and turbulence-flame interactions. The objective of this work is to examine effects of the SGS closures though large-eddy simulations (LES) of an acetone spray flame. A series of experiments of turbulent spray flames were conducted at the University of Sydney to establish a benchmark database to support model developments, including the measurements of the target acetone spray flame. Three LES cases using different modeling combinations for the SGS turbulence-droplet and turbulence-flame interactions are conducted to assess the performance of the new model. Systematic model evaluations show that the consideration of SGS turbulence-droplet interactions using RDM improves the prediction of gas-phase combustion downstream where the mesh is coarse. Further improvement in temperature prediction is observed in the case where RDM is also used as the closure for turbulence-flame interaction.
机译:开发了一种基于正则解卷积方法(RDM)的新模型,用于关闭湍流喷雾燃烧中的子网格规模(SGS)项。这些火焰的先前先验数值研究已经确定了对湍流-液滴和湍流-火焰相互作用的敏感性。这项工作的目的是通过丙酮喷雾火焰的大涡模拟(LES)来检查SGS封盖的效果。在悉尼大学进行了一系列湍流喷射火焰实验,以建立基准数据库来支持模型开发,包括对目标丙酮喷射火焰的测量。使用SGS湍流-液滴和湍流-火焰相互作用的不同建模组合对三个LES案例进行了评估,以评估新模型的性能。系统模型评估表明,使用RDM进行SGS湍流-液滴相互作用的考虑改善了网孔较粗的下游气相燃烧的预测。在RDM也用作湍流-火焰相互作用的封闭物的情况下,观察到温度预测的进一步改善。

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