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

机译:使用规则折折型法进行湍流喷雾火焰的子网格尺度建模

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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:基于正规化的Deconvolution方法(RDM)的新模型用于关闭湍流喷涂燃烧中的子网格尺度(SGS)术语。以前,这些火焰的先验数值研究已经确定了湍流 - 液滴和湍流 - 火焰相互作用的敏感性。这项工作的目的是检查SGS封闭件的效果虽然丙酮喷雾火焰的大涡模拟(LES)。在悉尼大学进行了一系列湍流喷雾火焰的实验,建立了基准数据库,以支持模型开发,包括丙酮喷雾火焰的测量。使用不同建模组合的三种LES案例进行SGS湍流 - 液滴和湍流 - 火焰相互作用以评估新模型的性能。系统模型评估表明,使用RDM的SGS湍流 - 液滴相互作用改善了网眼粗糙的气相燃烧的预测。在RDM也被用作湍流火焰相互作用的情况下,观察到温度预测的进一步改善。

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