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Numerical investigation of auto-igniting turbulent lifted CH_4/air jet diffusion flames in a vitiated co-flow using a RANS based stochastic multiple mapping conditioning approach

机译:使用基于RANS的随机多重映射条件化方法,对在同流状态下自燃湍流升起的CH_4 /空气射流扩散火焰进行数值研究

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Numerical simulations of auto-igniting turbulent lifted jet diffusion flames of CH4/air fuel issued into a vitiated coflow of lean combustion products of H-2/air are performed using Reynolds-averaged Navier-Stokes (RANS) based stochastic multiple mapping conditioning (MMC) approach. A two-dimensional axisymmetric formulation is used to model the fluid flow, where the gas-phase turbulence terms are closed using the standard two-equation k-epsilon turbulence model with a modified set of constants. A reduced chemical mechanism ARM2 is used which consists of 19 species and 15 reactions derived from the GRI 3.0 mechanism. In MMC, the concept of mapping function is used, which approximates the cumulative probability distribution of the major scalar, namely mixture fraction for nonpremixed combustion. The corresponding variance of the major scalar is modelled by choosing a standard implementation of the major mixing time scale tau(phi) modelled in terms of the turbulent time scale as tau(phi) = tau(t)/C-phi. For all simulations reported herein, the same major mixing time constant C-phi = 3.0 is used. Additionally, in MMC, a minor mixing time scale r min is introduced which controls fluctuations of scalars relative to the major fluctuations via the minor mixing time constant, C-min. Three different values of C-min = (tau(min)/tau(phi)) = 0.25, 0.35 and 0.50 are used and the corresponding ratios of minor to turbulent time scales are tau(min)/tau(t) = 0.083, 0.116 and 0.166, respectively. The conditional and unconditional reactive scalar fields are found to be highly dependent on the choice of C-min and hence the ratio of the minor and major mixing time scales. The numerical results are thoroughly validated against the experimental measurements. The variation in lift-off height is found to be in good agreement with the experimental data for the entire range of coflow temperature for C-min = 0.25. Also, the predicted conditional and unconditional scalar fields from the present RANS-MMC model shows an excellent agreement with the experimental measurements. (C) 2019 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
机译:使用基于雷诺平均Navier-Stokes(RANS)的随机多重映射条件(MMC)对CH4 /空气燃料的自燃湍流升起的喷气扩散火焰排放到H-2 /空气的稀薄燃烧产物的气流中进行了数值模拟。 )方法。二维轴对称公式用于对流体流动进行建模,其中使用标准的两方程式kε湍流模型和一组经过修改的常数来封闭气相湍流项。使用简化的化学机理ARM2,该机理由19种物质和15种源自GRI 3.0机理的反应组成。在MMC中,使用映射函数的概念,该函数近似主标量的累积概率分布,即非预混燃烧的混合分数。通过选择主要混合时间标度tau(phi)的标准实现方式对主要标量的相应方差进行建模,该标准混合方法根据湍流时间标度建模为tau(phi)= tau(t)/ C-phi。对于本文报道的所有模拟,使用相同的主要混合时间常数C-phi = 3.0。另外,在MMC中,引入了次要混合时间标度r min,其通过次要混合时间常数C-min控制相对于主要波动的标量波动。使用三个不同的C-min =(tau(min)/ tau(phi))= 0.25、0.35和0.50的值,并且次要时间尺度和湍流时间尺度的比率为tau(min)/ tau(t)= 0.083,分别为0.116和0.166。发现条件和无条件反应性标量场高​​度依赖于C-min的选择,因此主要取决于次要和主要混合时间尺度的比率。数值结果已针对实验测量进行了充分验证。发现在C-min = 0.25的整个同流温度范围内,提离高度的变化与实验数据高度吻合。同样,从当前的RANS-MMC模型预测的条件和无条件标量场显示出与实验测量结果极好的一致性。 (C)2019燃烧研究所。由Elsevier Inc.出版。保留所有权利。

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