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Direct numerical simulation of a reacting turbulent mixing layer

机译:反应湍流混合层的直接数值模拟

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In this work, Direct Numerical Simulations (DNS) have been performed on a n-heptane/air reacting mixing layer with detailed, finite-rate chemistry, to investigate primarily the interactions between aromatic chemistry and turbulent transport. Aromatic species are of critical importance for pollutant formation since their concentrations control directly the soot nucleation rates. The first objective of this DNS study is to provide an a posteriori validation of the previously-proposed reduced-order relaxation model for aromatic species [Xuan and Blanquart, Combust. Flame]. This model was designed for the chemistry tabulation of these species and their chemical source terms. The evolution of the chemical source terms and mass fractions of different aromatic species, from the DNS, will be compared to the model predictions. Results of this DNS will also provide a posteriori justification for different chemistry tabulation strategies for different categories of species. The Second objective of this DNS is to provide a database for the modeling of subgrid-scale scalar fluxes for Large-Eddy Simulations (LES). Various assumptions made by the commonly-used LES closure models in turbulent reacting flow simulations, for instance the dynamic smagorinsky model, will be examined.
机译:在这项工作中,已经对具有详细的有限速率化学的正庚烷/空气反应混合层进行了直接数值模拟(DNS),主要研究了芳族化学和湍流运输之间的相互作用。由于它们的浓度控制直接烟灰成核率,因此芳族物种对污染物形成至关重要。该DNS研究的第一个目的是提供对芳香族物种的先前提出的秩序放松模型的后验验证[轩和Blanquart,燃烧。火焰]。该模型设计用于这些物种的化学制表及其化学源术语。将与DNS的不同芳族物种的化学源术语和质量分数的演变将与模型预测进行比较。该DNS的结果还将为不同类别的不同类别的不同化学制表策略提供后验性理由。该DNS的第二个目的是为大型涡流模拟(LES)提供用于模拟标量通量的数据库。将研究通过湍流反应流动模拟中的常用LES闭合模型进行的各种假设,例如动态Smagorinsky模型。

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