Conditional moment closure modelling of turbulent methanol jet flames
Conditional moment closure modelling of turbulent methanol jet flames
复制标题
甲醇射流湍流火焰的条件矩闭合模型
DOI：
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发表时间：
1999
期刊：
影响因子：
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通讯作者：
R. Bilger
中科院分区：
文献类型：
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作者：
M. R. Roomina;R. Bilger
条件矩闭合（CMC）预测的湍流导向射流扩散火焰的甲醇在空气中的速度为66.2和90.3 m s-1。预测进行了比较与实验联合拉曼-瑞利-LIF结果的Masri等人和层流小火焰计算。三个全面的化学机制（骨架，GRI-Mech和SUBGRI）被用来代表甲醇火焰的化学。在所采用的各种机制中，骨架机制显示出最佳的一致性。据发现，SUBGRI机制降低了计算成本的内存和CPU时间，而不影响结果的重点是在主要的反应化学。k-e-g湍流模型低估了混合速率，预测的火焰比实验报告的火焰稍长。在一般情况下，条件平均温度和物种质量分数的CMC预测是非常好的，并显示与实验的定性协议。在下游地区，总体趋势是...
Conditional moment closure (CMC) predictions for a turbulent piloted jet diffusion flame of methanol in air at velocities of 66.2 and 90.3 m s−1 are presented. Predictions are compared with the experimental joint Raman-Rayleigh-LIF results of Masri et al and laminar flamelet calculations. Three comprehensive chemical mechanisms (SKELETAL, GRI-Mech and SUBGRI) are used to represent the chemistry of the methanol flame. The SKELETAL mechanism shows the best agreement among the various mechanisms employed. It is found that the SUBGRI mechanism reduces computational cost in terms of memory and CPU time without compromising results where the focus is on the main reactive chemistry. The k-e-g turbulence model underpredicts the rate of mixing and the predicted flames are somewhat longer than that reported by experiment. In general, the CMC predictions for conditional mean temperature and species mass fractions are very good and show qualitative agreement with experiment. At downstream locations, the overall trend...