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Improved MMC-LES to compute the structure of a mixed-mode turbulent flame series
Proceedings of the Combustion Institute ( IF 5.3 ) Pub Date : 2020-09-22 , DOI: 10.1016/j.proci.2020.07.123
S. Aldawsari , S. Galindo-Lopez , M.J. Cleary , A.R. Masri

An improved version of the Lagrangian multiple mapping conditioning model coupled with large eddy simulation (MMC-LES) is applied to compute the structure of a range of turbulent mixed-mode flames stabilised on the Sydney piloted burner with compositionally inhomogeneous inlet. The calculations are compared with detailed measurements. While premixed MMC-LES models are yet to be developed, the most commonly deployed version and code for MMC-LES uses a mixture-fraction-based approach and a sparse-Lagrangian notional particle method that is most suitable for non-premixed combustion. The improvements reported here are due to (i) a more rigorous density coupling approach, (ii) a more refined mixing time scale, and (iii) selective particle intensification to improve localness in physical space as well as mixture fraction space. This intensification is selectively applied in upstream regions where mixed-mode combustion dominates and is relaxed further downstream as the jet flames transition to a non-premixed flame structure. The computed results show good agreement with experimental data hence confirming the feasibility of the improved MMC-LES approach in being able to account for mixed-mode combustion as well as for finite-rate chemistry effects. These promising results warrant future extension of the selective particle intensification method to become automatically adaptive.



中文翻译:

改进的MMC-LES用于计算混合模式湍流火焰序列的结构

拉格朗日多重映射条件模型的改进版本与大涡流仿真(MMC-LES)一起用于计算稳定在具有成分不均匀入口的悉尼引燃燃烧器上的一系列湍流混合模式火焰的结构。将计算结果与详细测量结果进行比较。尽管尚未开发出预混MMC-LES模型,但MMC-LES最常用的版本和代码使用基于混合分数的方法和最适合非预混燃烧的稀疏拉格朗日概念粒子方法。此处报告的改进归因于(i)更严格的密度耦合方法,(ii)更精细的混合时间尺度和(iii)选择性粒子强化,以改善物理空间以及混合分数空间中的局部性。当喷射火焰过渡到非预混火焰结构时,这种强化作用选择性地应用在混合模式燃烧占主导的上游区域,并在下游进一步放松。计算结果与实验数据显示出良好的一致性,因此证实了改进的MMC-LES方法在考虑混合模式燃烧以及有限速率化学作用方面的可行性。这些有希望的结果保证了选择性粒子强化方法的未来扩展,使其能够自动适应。计算结果与实验数据显示出良好的一致性,因此证实了改进的MMC-LES方法在考虑混合模式燃烧以及有限速率化学作用方面的可行性。这些有希望的结果保证了选择性粒子强化方法的未来扩展,使其能够自动适应。计算结果与实验数据显示出良好的一致性,因此证实了改进的MMC-LES方法在考虑混合模式燃烧以及有限速率化学作用方面的可行性。这些有希望的结果保证了选择性粒子强化方法的未来扩展,使其能够自动适应。

更新日期:2020-09-22
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