首页> 外文期刊>Combustion and Flame >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
【24h】

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:基于RAN的随机多重映射调节方法,使用RANS的自动点燃湍流升力升降CH_4 /空气射流扩散火焰的数值研究

获取原文
获取原文并翻译 | 示例
           

摘要

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:使用雷诺平均的Navier-Stokes(RANS)的随机多映射调节(MMC ) 方法。二维轴对称制剂用于模拟流体流动,其中气相湍流术语使用具有改进的常量组的标准的双方程k-epsilon湍流模型关闭。使用还原的化学机制臂2,其由19种和15种来自GRI 3.0机制的反应组成。在MMC中,使用映射功能的概念,其近似于主要标量的累积概率分布,即非增速燃烧的混合级分。主要标量的相应方差是通过选择根据TAU(PHI)= TAU(T)/ C-PHI而设计的主要混合时间标度TAU(PHI)的标准实现来建模。对于本文报道的所有模拟,使用相同的主混合时间常数C-PHI = 3.0。另外,在MMC中,引入了次要混合时间尺度R min,其通过小混合时间常数,C-min控制标量的波动。使用三种不同的C-MIN =(TAU(MIN)/ TAU(PHI))= 0.25,0.35和0.50,并且对应于湍流时间尺度的相应比率是TAU(MIN)/ TAU(T)= 0.083, 0.116和0.166分别。发现条件和无条件的反应性标量领域高度依赖于C-min的选择,因此是次要混合时间尺度的比率。根据实验测量彻底验证了数值结果。发现剥离高度的变化与C-min = 0.25的整个Coflow温度的实验数据很好。此外,来自当前RAN-MMC模型的预测条件和无条件标量字段显示出与实验测量的非常一致。 (c)2019燃烧研究所。由elsevier Inc.出版的所有权利保留。

著录项

相似文献

  • 外文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号