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Conditional moment closure modelling of turbulent jet diffusion flames of helium-diluted hydrogen

机译:氦稀释氢的湍流射流扩散火焰的条件矩闭合模型

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First-order conditional moment closure (CMC) modelling of NO in non-premixed flames has met with limited success due to the need to consider turbulence influences on the conditional production rate of chemical species. This paper presents results obtained using a second-order approach where such effects are incorporated through solution of a transport equation for the conditional variance. In contrast to earlier work, second-order chemistry is implemented using a more robust numerical technique, with predictions obtained using a Reynolds stress turbulence model. First-order CMC and k-epsilon turbulence model predictions are presented for comparison purposes. For the hydrogen flames examined, results demonstrate small differences between first- and second-order calculations of major species and temperature, although second-order corrections reduce NO and OH levels. Additionally, variations occur between results for these species derived using the two turbulence models due to differences in conditional variance predictions. This and the numerical solution method employed are responsible for deviations with earlier results. It is concluded that while the higher-order CMC model does not significantly improve NO predictions, agreement with OH data is superior. Physical space predictions are sufficiently accurate for assessing flame characteristics, with the Reynolds stress model providing superior results.
机译:由于需要考虑湍流对化学物质有条件生产率的影响,因此在非预混火焰中对NO进行一阶条件矩封闭(CMC)模型获得的成功有限。本文介绍了使用二阶方法获得的结果,其中通过影响条件方差的输运方程的求解合并了此类效应。与早期的工作相反,二阶化学是使用更可靠的数值技术来实现的,而预测则是使用雷诺应力湍流模型获得的。提出一阶CMC和k-ε湍流模型预测以进行比较。对于所检查的氢火焰,结果表明主要种类和温度的一阶和二阶计算之间存在微小差异,尽管二阶校正降低了NO和OH的含量。此外,由于条件方差预测的差异,使用两个湍流模型得出的这些物种的结果之间会发生差异。该方法和所采用的数值解法会导致偏差,并产生较早的结果。结论是,虽然高阶CMC模型不能显着改善NO预测,但与OH数据的一致性更高。借助雷诺应力模型,物理空间预测对于评估火焰特性足够准确,可以提供出色的结果。

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