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韩宗英,何昌升,李井华.钝体稳定射流火焰的火焰面模型数值研究[J].航空动力学报,2020,(2):337~347
钝体稳定射流火焰的火焰面模型数值研究
Investigation of flamelet modeling for bluff-body stabilized jet flame
投稿时间:2019-11-21  
DOI:10.13224/j.cnki.jasp.2020.02.013
中文关键词:  湍流扩散火焰  火焰面模型  交互式非稳态  氮氧化物  化学反应动力学机理
英文关键词:turbulent diffusion flame  flamelet model  interaction unsteady  nitrogen oxides  kinetic mechanism of chemical reaction
基金项目:国家自然科学基金(51676097)
作者单位
韩宗英 College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China 
何昌升 College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China 
李井华 College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China 
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中文摘要:
      基于稳态火焰面(SLFM)和交互式非稳态欧拉颗粒火焰面(EPFM)模型对Sydney大学CH4/H2钝体稳定湍流扩散火焰行了数值研究,采用修正的雷诺应力模型(RSM),同时对两种不同规模的甲烷详细化学反应动力学机理进行研究,比较了燃烧模型和反应机理对湍流火焰结构、活性自由基以及氮氧化物预测精度的影响,与实验数据对比结果表明:两种反应机理得到的温度场和主要组分分布基本相同;SLFM模型能对速度场和标量场的分布进行较为准确预测,采用EPFM模型修正后,部分区域OH预测结果更加靠近实验结果;采用EPFM模型对SLFM模型耦合GRI-Mech 211的计算结果修正后,NO量级降低近2倍,预测精度明显改善,与实验结果实现较好的符合,验证了化学反应动力学机理以及非稳态效应对氮氧化物预测精度的影响。
英文摘要:
      Based on the concept of flamelet, the Sydney University CH4/H2 bluff-body stabilized flame was studied using steady laminar flamelet model (SLFM) and Eulerian particle flamelet model(EPFM), respectively. The revised Reynolds stress model (RSM) was used and two different chemical reaction mechanisms were also considered. The numerical results of the turbulent flame structure, major species concentrations and nitrogen oxides predictions by using different models were compared with the experimental data. The comparison showed that the prediction of the temperature, and major species calculated with these two mechanisms were basically same, the SLFM can accurately predict the combustion field; the OH results of the EPFM in some regions were closer to the experiment. The result of the SLFM coupled with the GRI-Mesh 211 mechanism reduced by two times after being post-processed by the EPFM model can predict the NO concentration more accurately, testifying the importance of the chemical reaction mechanism and the unsteady effect on the prediction of nitrogen oxides.
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