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A Priori Evaluation of the Laminar Flamelet Decomposition Model for Turbulent Premixed Flames using DNS Data
Flow, Turbulence and Combustion ( IF 2.0 ) Pub Date : 2021-05-30 , DOI: 10.1007/s10494-021-00271-0
Amir H. Mahdipour , M. Mahdi Salehi

Laminar flamelet decomposition (LFD) is a dynamic approach for modelling sub-filter scale turbulence-chemistry interactions in Large-Eddy Simulations using a stretched flamelet library. In this work, the performance of the LFD model – that was previously used only in non-premixed combustion—is investigated a priori for premixed combustion using positively-strained flamelets in the reactant-to-product configuration. For this purpose, a DNS database of methane-air premixed flames is utilized. The flames are propagating in a rectangular box under homogeneous isotropic turbulence conditions over a wide range of Karlovitz numbers. The results show that the LFD model can correctly account for the sub-filter scale turbulence-chemistry interactions to predict the filtered reaction rates and the filtered scalar field, provided that turbulent and laminar mixing are well predicted. The deviations from the DNS results are attributed to the shortcomings of the strained flamelet library and the non-flamelet effects. Finally, the LFD results are compared with a different sub-filter scale model using the same strained flamlelet library, and the relative performances of the two models are discussed.—



中文翻译:

使用 DNS 数据对湍流预混火焰的层流火焰分解模型进行先验评估

层流小火焰分解 (LFD) 是一种动态方法,用于在大涡模拟中使用拉伸小火焰库对子过滤器尺度湍流-化学相互作用进行建模。在这项工作中,先前仅用于非预混燃烧的 LFD 模型的性能进行了先验研究用于在反应物到产物配置中使用正应变小焰进行预混燃烧。为此,利用了甲烷-空气预混火焰的 DNS 数据库。火焰在矩形盒中在均匀的各向同性湍流条件下,在广泛的Karlovitz数范围内传播。结果表明,LFD 模型可以正确考虑子过滤器尺度湍流-化学相互作用,以预测过滤反应速率和过滤标量场,前提是湍流和层流混合得到很好的预测。与 DNS 结果的偏差归因于应变火焰库和非火焰效应的缺点。最后,将 LFD 结果与使用相同应变小火焰库的不同子滤波器比例模型进行比较,

更新日期:2021-05-30
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