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Performance assessment of flamelet models in flame-resolved LES of a high Karlovitz methane/air stratified premixed jet flame
Proceedings of the Combustion Institute ( IF 3.4 ) Pub Date : 2018-11-10 , DOI: 10.1016/j.proci.2018.09.025
Flavio Cesar Cunha Galeazzo , Bruno Savard , Haiou Wang , Evatt R. Hawkes , Jacqueline H. Chen , Guenther Carlos Krieger Filho

Tabulated flamelets are commonly used in turbulent combustion modeling due to their relatively low computational cost, which is attractive in industrial applications. However, these models require assumptions of tabulated chemistry and subgrid-scale models for control variable distributions, both of which may contribute to modeling errors. In the present work, large-eddy simulation (LES) with tabulated flamelets is employed to study a laboratory-scale high Karlovitz number stratified premixed jet flame that was investigated recently using direct numerical simulation (DNS). Particularly, the LES resolves properly the transported control variables at a near DNS level, mitigating the errors from subgrid-scale modeling of control variable distributions. Five different flamelet tables are tested in the current work, including the conditional mean from the DNS, counterflow stratified premixed 1D flames with and without differential diffusion, freely propagating premixed 1D flames, and 0D autoigniting plug-flow reactors. The LES results show that although the flamelet tables perform differently for the instantaneous distributions of the progress variable source term, their mean distributions are similar. The mean and rms (root mean square) radial profiles for axial velocity and temperature from the LES with different flamelet tables are in good agreement with those from the DNS; more evident discrepancies are observed for the CH2O mass fraction radial profiles. Finally, the flame structures are examined in temperature space with the table from conditional means of the DNS having the best performance, as expected.



中文翻译:

卡洛维兹高甲烷/空气分层预混喷射火焰的火焰分解LES中小火焰模型的性能评估

列表式小火焰由于其相对较低的计算成本而通常用于湍流燃烧建模,这在工业应用中具有吸引力。但是,这些模型需要对控制变量分布采用表格化学和亚网格规模模型的假设,这两者都可能导致建模误差。在当前的工作中,采用带有列表小火焰的大涡模拟(LES)来研究实验室规模的高卡洛维兹数分层预混喷射火焰,最近使用直接数值模拟(DNS)对其进行了研究。特别是,LES在接近DNS级别正确解析了传输的控制变量,从而减轻了控制变量分布的子网格规模建模带来的错误。当前工作中测试了五种不同的火焰表,包括来自DNS的条件均值,带有和不带有差分扩散的逆流分层预混合1D火焰,自由传播预混合1D火焰和0D自动点火塞流反应器。LES结果表明,尽管小火焰表在进度变量源项的瞬时分布上的表现有所不同,但它们的平均分布是相似的。带有不同小火焰表的LES的轴向速度和温度的均方根值和均方根(根均方根)径向轮廓与DNS中的径向轮廓和均方根高度吻合;CH观察到更明显的差异 LES结果表明,尽管小火焰表在进度变量源项的瞬时分布上的表现有所不同,但它们的平均分布是相似的。带有不同小火焰表的LES的轴向速度和温度的均方根值和均方根(根均方根)径向轮廓与DNS中的径向轮廓和均方根高度吻合;CH观察到更明显的差异 LES结果表明,尽管小火焰表在进度变量源项的瞬时分布上的表现有所不同,但它们的平均分布是相似的。带有不同小火焰表的LES的轴向速度和温度的均方根值和均方根(根均方根)径向轮廓与DNS中的径向轮廓和均方根高度吻合;CH观察到更明显的差异2 O质量分数径向轮廓。最后,如预期的那样,使用具有最佳性能的DNS的有条件手段,利用温度表在温度空间中检查了火焰结构。

更新日期:2018-11-12
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