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Modeling stratified flames with and without shear using multiple mapping conditioning
Proceedings of the Combustion Institute ( IF 3.4 ) Pub Date : 2018-09-13 , DOI: 10.1016/j.proci.2018.07.033
C. Straub , A. Kronenburg , O.T. Stein , R.S. Barlow , D. Geyer

A stochastic sparse particle approach is coupled with an artificial thickening flame (ATF) model for large eddy simulations (LES) to predict a series of turbulent premixed-stratified flames with and without shear and stratification. The thickened reaction progress variable serves as reference variable for the multiple mapping conditioning (MMC) mixing model which emulates turbulent mixing of the stochastic particles. The key feature of MMC is to enforce localness in this reference space when particle pairs are mixed and prevents unphysical mixing of burnt and unburnt fluid across the flame front. We apply MMC-ATF to three flames of a series of turbulent stratified flames and validate the method by comparison with experimental data. The new measurements feature increased accuracy in comparison to previously published data of the same flames due to a better signal-to-noise ratio and a setup which is less prone to beam steering. All flame locations are well predicted by the LES-ATF approach and an analysis of the MMC particle statistics demonstrates that MMC preserves the flamelet-like behaviour in regions where the experiments show low scatter around the flamelet solution. Predicted (local) deviations from the flamelet-solution are comparable to deviations observed in the measurements and variations in the flame structure due to differences in stratification and shear are reasonably well captured by the method.



中文翻译:

使用多重映射条件对有和没有剪切的分层火焰进行建模

随机稀疏粒子方法与用于大涡模拟(LES)的人工增稠火焰(ATF)模型相结合,可预测一系列带有或不带有剪切和分层的湍流预混分层火焰。增稠的反应进程变量用作多重映射条件(MMC)混合模型的参考变量,该模型模拟随机粒子的湍流混合。MMC的主要功能是在混合粒子对时在此参考空间中增强局部性,并防止已燃烧和未燃烧的流体在火焰前部发生非物理混合。我们将MMC-ATF应用于一系列湍流分层火焰中的三个火焰,并通过与实验数据进行比较来验证该方法。与以前发布的相同火焰数据相比,新的测量功能具有更高的准确性,这归因于更好的信噪比和更不易受到光束转向影响的设置。通过LES-ATF方法可以很好地预测所有火焰位置,并且对MMC粒子统计数据的分析表明,MMC在实验显示小火焰溶液周围散射较小的区域中保留了小火焰样行为。与小火焰溶液的预测(局部)偏差可与测量中观察到的偏差相比较,并且由于分层和剪切差异而导致的火焰结构变化可以通过该方法很好地捕获。通过LES-ATF方法可以很好地预测所有火焰位置,并且对MMC粒子统计数据的分析表明,MMC在实验显示小火焰溶液周围散射较小的区域中保留了小火焰样行为。与小火焰溶液的预测(局部)偏差可与测量中观察到的偏差相比较,并且由于分层和剪切差异而导致的火焰结构变化可以通过该方法很好地捕获。通过LES-ATF方法可以很好地预测所有火焰位置,并且对MMC粒子统计数据的分析表明,MMC在实验显示小火焰溶液周围散射较小的区域中保留了小火焰样行为。与小火焰溶液的预测(局部)偏差可与测量中观察到的偏差相比较,并且由于分层和剪切差异而导致的火焰结构变化可以通过该方法很好地捕获。

更新日期:2018-09-13
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