Large eddy simulations of high Reynolds number turbulent non-premixed flame and NO formation

YU Zhou; HUANG Lihang; YE Taohong; ZHU Minming

doi:10.7638/kqdlxxb-2020.0036

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Large eddy simulations of high Reynolds number turbulent non-premixed flame and NO formation

更新时间：2026-05-28

- Large eddy simulations of high Reynolds number turbulent non-premixed flame and NO formation
- Vol. 38, Issue 3, Pages: 629-640(2020)
- 作者机构：
  
  中国科学技术大学热科学和能源工程系,合肥,230027
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2020.0036
  CLC： V211.3;TK16
- Published：2020
- 稿件说明：
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于洲, 黄立航, 叶桃红, 朱旻明. 高雷诺数湍流非预混火焰及NO生成的大涡模拟[J]. 空气动力学学报, 2020, 38(3): 629-640.

YU Zhou, HUANG Lihang, YE Taohong, et al. Large eddy simulations of high Reynolds number turbulent non-premixed flame and NO formation[J]. 2020, 38(3): 629-640.
于洲, 黄立航, 叶桃红, 朱旻明. 高雷诺数湍流非预混火焰及NO生成的大涡模拟[J]. 空气动力学学报, 2020, 38(3): 629-640. DOI： 10.7638/kqdlxxb-2020.0036.

YU Zhou, HUANG Lihang, YE Taohong, et al. Large eddy simulations of high Reynolds number turbulent non-premixed flame and NO formation[J]. 2020, 38(3): 629-640. DOI： 10.7638/kqdlxxb-2020.0036.

摘要

采用两种亚网格湍流燃烧模型，即化学建表方法结合假定概率密度模型和稀疏拉格朗日过滤密度函数方法，对高雷诺数湍流非预混火焰Flame D进行数值研究，定量比较不同亚网格模型的差异，并对火焰特征、污染生物生成特性进行分析。结果表明，两类亚网格燃烧模型预测的温度及大组分分布相近，稀疏拉格朗日过滤密度函数方法可以更好地模拟CO质量分数分布。不同的假定概率分布均可合理描述湍流与火焰的相互作用，之间的差别主要体现在NO分布，Dirac函数远高估了NO生成，而Top-hat函数则略低估了NO生成，Beta函数表现最优。Flame D的高温区及NO质量分数均主要分布在当量混合线及富燃侧附近。受高温伴流的影响，NO质量分数与温度一直保持高度正相关，峰值主要集中在标量耗散率很小的区域。不同截面上，反应物中的O

和生成物中的H

O均与NO高度相关。

Abstract

Large eddy simulations (LESs) of Sandia turbulent non-premixed flame D have been carried out using two sub-grid scale combustion models. One is tabulated chemistry method coupled with three presumed probability density functions (PPDFs)

the other is sparse Lagrangian filtered density function (FDF) method. The goal is to show the differences of the two combustion models and highlight the characteristics of turbulent non-premixed flame and its pollutant. Comparisons of statistical results indicate that the distributions of temperature and major species are similar

while CO can be better captured by the

FDF model. Interactions between turbulence and flame (TFIs) can be described reasonably by all the three PPDFs

and the difference between them is mainly reflected in the predicted distributions of NO. NO mass fraction is largely overpredicted with Dirac function

and underestimted with Top-hat function. Beta function presents the best performance in the prediction of NO. Regions of high temperature and mass fraction of NO are mainly located around

=1.0 and rich side. The mass fraction of NO peaks mainly in the region where the scalar dissipation rate of mixture fraction is relatively small. The mass fraction of NO is always highly correlated with local temperature

in the presence of the high temperature piloted flame. It is also highly correlated with the mass fraction of O

and H

O at different axial locations.

关键词

Keywords

references

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