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Conditional statistics of inert droplet effects on turbulent combustion in reacting mixing layers

机译:惰性液滴对反应混合层中湍流燃烧影响的条件统计

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摘要

Direct numerical simulation (DNS) of turbulent reacting mixing layers laden with evaporating inert droplets is used to assess the droplet effects in the context of the conditional moment closure (CMC) for multiphase turbulent combustion. The temporally developing mixing layer has an initial Reynolds number of 1000 based on the vorticity thickness with more than 16 million Lagrangian droplets traced. An equivalent mixture fraction incorporating the inert vapour mass fractions clearly demonstrates the effects of vapour dilution on the mixture. Instantaneous fields and conditional statistics, such as the singly conditioned scalar dissipation rate, the gas temperature < Tg| >, conditional variance of the gas temperature < Tgo2| > and conditional covariance between the fuel mass fraction and gas temperature < Yfo Tgo| > show considerable droplet effects. Comparison between the droplet-free and droplet-laden reacting mixing layer cases suggests significant extinction in the latter case. The resulting large conditional fluctuations around the conditional means contradict the basic assumption behind the first-order singly conditioned CMC. More sophisticated CMC approaches, such as doubly conditioned or second-order CMCs are, in principle, better able to incorporate the effects of evaporating droplets, but significant modelling challenges exist. The scalar dissipation rate doubly conditioned on the mixture fraction and a normalized gas temperature < | , > exemplifies the modelling complexity in the CMC of multiphase combustion.
机译:带有蒸发惰性液滴的湍流反应混合层的直接数值模拟(DNS)用于在多相湍流燃烧的条件矩闭合(CMC)的情况下评估液滴的影响。基于涡旋厚度,临时显影的混合层的初始雷诺数为1000,并跟踪了超过1600万的拉格朗日液滴。掺入惰性蒸气质量分数的等效混合物分数清楚地证明了蒸气稀释对混合物的影响。瞬时字段和条件统计信息,例如单条件标量耗散率,气体温度,气体温度的条件方差和燃料质量分数与气体温度显示出明显的液滴效果。在无液滴和带有液滴的反应混合层情况之间的比较表明,在后一种情况下显着消光。结果均值围绕条件均值的大波动与一阶单条件CMC背后的基本假设相矛盾。原则上,更复杂的CMC方法(例如双重条件的CMC或二阶CMC)能够更好地吸收液滴蒸发的影响,但是存在重大的建模挑战。标量耗散率双重取决于混合比例和归一化气体温度,>举例说明了多相燃烧CMC中的建模复杂性。

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