A simple post-processing method to correct species predictions in artificially thickened turbulent flames
A simple post-processing method to correct species predictions in artificially thickened turbulent flames
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DOI：
10.1016/j.proci.2020.06.215
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发表时间：
2020-08
影响因子：
3.4
通讯作者：
Pascal Gruhlke;E. Inanc;R. Mercier;B. Fiorina;A. Kempf
中科院分区：
文献类型：
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作者：
Pascal Gruhlke;E. Inanc;R. Mercier;B. Fiorina;A. Kempf
提出了一种有效的方法，精确预测的物种（如CO）浓度的人工增厚火焰，并证明了剑桥旋流火焰。这种方法依赖于校正的（副）作用所引入的（动态）火焰增厚和湍流模型，应用作为LES后处理步骤。这种技术提供了更好的预测的次要物种在内部反应区，无论在哪里使用的加厚火焰模型-只要火焰燃烧在小火焰制度，和兴趣是在火焰中的数据，而不是在火焰后的数据。一氧化碳浓度的演示和实验证据相比。结果表明，增稠因子修正具有普遍性，适用于所有组分，而效率因子修正则应针对不同组分和热损失水平分别进行调整。发现这两种校正都减少了结果的网格和代码依赖性。由于这种技术易于理解，易于实施，适合作为现有数据的校正，我们建议将其用于加厚火焰模型的所有应用。
An efficient method for accurate species (such as CO) concentration predictions on artificially thickened flames is proposed and demonstrated for the Cambridge swirled flame. This method relies on corrections of the (side-) effects introduced by the (dynamic) flame thickening and wrinkling models, applied as an LES post-processing step. This technique provides better predictions of minor species in the inner reaction zone wherever a thickened flame model is used – provided that the flame burns in the flamelet regime, and that the interest is on in-flame data rather than on post-flame data. A demonstration for CO concentrations is given and compared to experimental evidence. It is concluded that the thickening factor correction is universal and can be applied for all species, whereas the efficiency factor correction must be adjusted for each species, and heat loss level separately. Both corrections were found to reduce the grid and code dependencies of the results. As this technique is easy to understand, easy to implement and suitable as a correction for available data, we recommend its use in all applications of thickened flame models.