Multiple mapping conditioning of turbulent jet diffusion flames

被引:19
|
作者
Vogiatzaki, K. [1 ]
Kronenburg, A. [1 ]
Cleary, M. J. [1 ]
Kent, J. H. [2 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Mech Engn, London SW7 2AZ, England
[2] Univ Sydney, Dept Aerosp Mech & Mechatron Engn, Sydney, NSW 2006, Australia
基金
英国工程与自然科学研究理事会;
关键词
Turbulent diffusion flame; Modelling; Scalar mixing; Multiple mapping conditioning; MOMENT CLOSURE; SPONTANEOUS RAMAN;
D O I
10.1016/j.proci.2008.06.164
中图分类号
O414.1 [热力学];
学科分类号
摘要
The multiple mapping conditioning (MMC) approach is applied to two non-piloted CH4/H-2/N-2 turbulent jet diffusion flames with Reynolds numbers of Re = 15,200 and 22,800. The work presented here examines primarily the suitability of MMC to simulate CH4/H-2 flames with varying Re numbers. The equations are solved in a prescribed Gaussian reference space with only one stochastic reference variable emulating the fluctuations of mixture fraction. The Mixture fraction is considered as the only major species oil which the remaining minor species are conditioned. Fluctuations around the conditional means are ignored. It is shown that the statistics of the mapped reference field are ail accurate model for the statistics of the physical field for both flames. A transformation of the Gaussian reference space introduced in previous work on MMC is used to express the MMC model in the same form as CMC. The most important advantage of this transformation is that the conditionally averaged scalar dissipation term is in a closed form. The corresponding temperature and reactive species predictions are generally in good agreement with experimental data. The application to real laboratory flames and the assessment of the new conditional scalar dissipation model for the Closure of the singly conditioned CMC equation is the major novelty of this paper. The results are therefore primarily examined with respect to changes of the conditionally averaged quantities in mixture fraction space. (C) 2009 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:1679 / 1685
页数:7
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