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A Priori Evaluation of the Laminar Flamelet Decomposition Model for Turbulent Premixed Flames using DNS Data

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Abstract

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.—

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Acknowledgements

The authors are very grateful to Prof. Xue-Song Bai, Department of Energy Sciences, Lund University, for providing the DNS data. The authors also sincerely thank Dr. Graham Hendra, Department of Mechanical Engineering, The University of British Columbia, for proofreading the manuscript.

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  1. Aerospace Engineering Department, Sharif University of Technology, Tehran, Iran

    Amir H. Mahdipour & M. Mahdi Salehi

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  1. Amir H. Mahdipour
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Correspondence to M. Mahdi Salehi.

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Mahdipour, A.H., Salehi, M.M. A Priori Evaluation of the Laminar Flamelet Decomposition Model for Turbulent Premixed Flames using DNS Data. Flow Turbulence Combust 108, 149–180 (2022). https://doi.org/10.1007/s10494-021-00271-0

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