基于LES-FGM方法的部分预混湍流燃烧中间物质模拟

Q4 Mathematics
ZHANG Weijie, WANG Jinhua, HU Guangya, LI Deli, WANG Ziqi, HUANG Zuohua
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引用次数: 0

摘要

基于火焰表化燃烧模型FGM,对达姆施塔特工业大学部分预混湍流火焰MRB进行了LES模拟,研究了预混表化和部分预混表化对模拟结果的影响。结果表明,不同的制表方法对火焰结构、速度和主要组分的预测影响有限,但采用部分预混制表方法大大提高了模拟中间次要组分CO和H2的可靠性。其根本原因是基于层流逆流火焰建立的部分预混表更好地包含了燃料-空气混合效应。为中间物种增加额外的输运方程提高了中间物种的预测,特别是在采用预混表的情况下;同时,紊流火焰中的拉伸效应可以忽略不计。研究结果对基于火焰表燃烧模型的部分预混湍流火焰的高保真仿真具有指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling Intermediate Species in Partially Premixed Turbulent Combustion Based on the LES-FGM Method
The LES of partially premixed turbulent flame MRB in TU Darmstadt was conducted based on the flamelet-tabulated combustion model FGM, and effects of premixed and partially premixed tabulations on the modelling results were studied. The results show that, different methods of tabulation exhibit limited influences on the predictions of the flame structure, velocity, and major species, but using a partially premixed tabulation largely improves the reliability of modelling intermediate minor species CO and H2. The underlying reason lies in a better inclusion of the fuel-air mixing effects through the partially premixed tabulation, which is built based on laminar counter-flow flames. Adding extra transport equations for the intermediate species improves the predictions of intermediate species, especially given a premixed tabulation adopted; meanwhile, the stretch effects in this turbulent flame are ignorable. The results are significant to guide the high-fidelity simulation of partially premixed turbulent flames based on the flamelet-tabulated combustion model.
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来源期刊
应用数学和力学
应用数学和力学 Mathematics-Applied Mathematics
CiteScore
1.20
自引率
0.00%
发文量
6042
期刊介绍: Applied Mathematics and Mechanics was founded in 1980 by CHIEN Wei-zang, a celebrated Chinese scientist in mechanics and mathematics. The current editor in chief is Professor LU Tianjian from Nanjing University of Aeronautics and Astronautics. The Journal was a quarterly in the beginning, a bimonthly the next year, and then a monthly ever since 1985. It carries original research papers on mechanics, mathematical methods in mechanics and interdisciplinary mechanics based on artificial intelligence mathematics. It also strengthens attention to mechanical issues in interdisciplinary fields such as mechanics and information networks, system control, life sciences, ecological sciences, new energy, and new materials, making due contributions to promoting the development of new productive forces.
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