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A priori evaluation of the laminar flamelet decomposition model for turbulent premixed flames using DNS data

Mahdipour, A. H ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1007/s10494-021-00271-0
  3. Publisher: Springer Science and Business Media B.V , 2022
  4. Abstract:
  5. 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. © 2021, The Author(s), under exclusive licence to Springer Nature B.V
  6. Keywords:
  7. Laminar flamelet decomposition ; Premixed flames ; Turbulent combustion ; Combustion ; Large eddy simulation ; Reaction rates ; Turbulence ; Homogeneous isotropic turbulence ; Methane-air premixed flame ; Nonpremixed combustion ; Premixed combustion ; Product configuration ; Relative performance ; Turbulence-chemistry interactions ; Turbulent premixed flame ; Decomposition
  8. Source: Flow, Turbulence and Combustion ; Volume 108, Issue 1 , 2022 , Pages 149-180 ; 13866184 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s10494-021-00271-0