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RANS-SLFM and LES-SLFM Numerical Simulations of Turbulent Non-Premixed Oxy-Fuel Jet Flames Using CO2/O2 Mixture

机译:使用CO2 / O2混合物的湍流非预混氧燃料射流火焰的RANS-SLFM和LES-SLFM数值模拟

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摘要

The focus of this work was to study the structure of multiple turbulent flame configurations using the steady laminar flamelet model (SLFM) coupled with Reynolds-averaged Navier-Stokes (RANS) and large eddy simulation (LES) transport equations. A detailed chemistry mechanism (GRI 3.0) was used in the formulation of the flamelet library. In addition, a probability density function (PDF) approach was used to generate the flamelet table in terms of its mean quantities &phis;(Z˜,Z˜"2, chi) as a function of the Favre-averaged mixture fraction, mixture fraction variance, and the scalar dissipation rate. A beta PDF was assumed for mixture fraction and a delta function distribution for the scalar dissipation rate. This approach ensured that finite-rate chemistry effects were introduced in the turbulent flow calculations. Radial mean and RMS distributions of temperature, mixture fraction, and species mass fractions were predicted at different axial locations for Sandia D and B-1 flames. The simulation results were validated against experimental data (Barlow & Frank 2007; Sevault et al. 2012). The validation study showed that LES/SFLM has better mean and RMS distributions for the B1 flame compared to RANS-SLFM. This was due to the fact that LES has a better representation of mixing than RANS since it resolves the large turbulent scales, which contain the largest amount of kinetic energy and control the mixing process in turbulent non-premixed combustion. Nonetheless, RANS-SLFM produced an acceptable mean profile for the Sandia D-flame for relatively low computational expense. However, mean radial profiles of minor species were not accurately predicted for either flame using RANS-SLFM, while good agreement was obtained with LES-SFLM.
机译:这项工作的重点是使用稳态层流小火焰模型(SLFM)结合雷诺平均Navier-Stokes(RANS)和大涡模拟(LES)输运方程来研究多种湍流火焰构造的结构。详细的化学机理(GRI 3.0)用于小火焰库的制定。另外,使用概率密度函数(PDF)方法来生成小火焰表,该小火焰表的平均数量为(F〜)平均混合物分数,混合物分数的函数(Z〜,Z〜“ 2,chi)方差和标量耗散率,假设混合物分数为βPDF,标量耗散率为德尔塔函数分布,这种方法确保了在湍流计算中引入了有限速率化学效应,径向均方根和RMS分布预测了桑迪亚D和B-1火焰在不同轴向位置的温度,混合比和物种质量比,并根据实验数据验证了模拟结果(Barlow&Frank 2007; Sevault等人2012)。与RANS-SLFM相比,LES / SFLM具有更好的B1火焰均值和RMS分布,这是由于LES比RANS具有更好的混合表现,因为它可以解决较大的湍流t标度,其中包含最大量的动能并控制湍流非预混燃烧中的混合过程。尽管如此,RANS-SLFM以较低的计算成本为Sandia D-flame生成了可接受的平均轮廓。然而,尽管使用LES-SFLM获得了很好的一致性,但使用RANS-SLFM不能准确预测每种火焰的次要物种的平均径向轮廓。

著录项

  • 作者

    Alghamdi, Adel.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Chemical engineering.
  • 学位 M.S.
  • 年度 2017
  • 页码 82 p.
  • 总页数 82
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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