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Numerical modeling of sooting tendencies in a laminar co-flow diffusion flame

机译:层流同流扩散火焰中烟so趋势的数值模拟

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摘要

The intent of this paper is to predict the experimental sooting tendencies [Combust. Flame 148 (2007) 210-222] from a detailed chemical mechanism with relatively low computational cost, using a flamelet-based model. Towards that goal, direct numerical simulations using finite-rate chemistry are conducted on a methane-air confined axisymmetric co-flow diffusion flame to provide reference data. Soot transport model is excluded in these direct simulations for both simplicity and to be unbiased from the choice of soot model used. Sooting tendencies are estimated exclusively from the increment of polycyclic aromatic hydrocarbon (PAH) dimer production rate along the centerline when the flame is doped. Calculations using the conventional steady state diffusion flamelet model are performed and this model is shown to be inadequate in reproducing the correct species profiles on the centerline of the flame, where the sooting tendencies are defined. The main reason for the failure of the conventional fiamelet model is due to the neglect of multidimensional convection and diffusion effects. In an effort to overcome these deficiencies, a new numerical framework based on modified flamelet equations is proposed. The flamelet equations are rederived for species mass fractions along the centerline of the co-flow diffusion flame considered. These equations take into account the effects of multidimensional diffusion and convection of species in mixture fraction space due to non-unity Lewis numbers. The modified flamelet equations take as input the temperature, convective velocity, and scalar dissipation rate profiles calculated from the direct simulation of the diffusion flame. The numerical sooting tendencies for both non-aromatic and aromatic test species are then calculated using the PAH dimer production rate generated from the fiamelet solutions doped by the test species. These first numerically-computed sooting tendencies are derived from a detailed chemical kinetic mechanism and are in good agreement when compared to experimental values.
机译:本文的目的是预测实验性烟ing趋势[Combust。火焰[148](2007)210-222],使用基于火焰的模型,以较低的计算成本获得了详细的化学机理。为了实现这一目标,在甲烷-空气密闭的轴对称同流扩散火焰上进行了使用有限速率化学的直接数值模拟,以提供参考数据。为了简单起见,在这些直接模拟中排除了烟灰运输模型,并且不受所使用烟灰模型的选择的影响。烟灰倾向仅根据掺杂火焰时沿中心线的多环芳烃(PAH)二聚体生产率的增加来估算。进行了使用常规稳态扩散小火焰模型的计算,结果表明该模型不足以在火焰中心线(定义了烟species趋势)上再现正确的物种分布。常规火焰模型失败的主要原因是由于忽略了多维对流和扩散效应。为了克服这些缺陷,提出了一种基于改进的小火焰方程的新数值框架。对于沿所考虑的同流扩散火焰的中心线的物种质量分数,重新推导了小火焰方程。这些方程考虑了由于非统一的Lewis数导致的多维扩散和混合分数空间中物质对流的影响。修改后的小火焰方程将温度,对流速度和标量耗散率分布图作为输入,该分布图是根据扩散火焰的直接模拟计算得出的。非芳香族和芳香族受试物的碳黑趋势均由PAH二聚体的生成速率计算得出,该PAH二聚体的生产速率是由受试物所掺杂的金缕梅溶液产生的。这些最初的数字计算的烟ing趋势源自详细的化学动力学机制,与实验值相比,具有很好的一致性。

著录项

  • 来源
    《Combustion and Flame》 |2013年第9期|1657-1666|共10页
  • 作者

    Yuan Xuan; Guillaume Blanquart;

  • 作者单位

    Graduate Aerospace Laboratories, California Institute of Technology, Pasadena, USA;

    Department of Mechanical Engineering, California Institute of Technology, Pasadena, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Sooting tendencies; Diffusion flames; Diffusion flamelet model;

    机译:积灰趋势;扩散火焰;扩散小火焰模型;
  • 入库时间 2022-08-18 00:11:51

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