Large Eddy Simulation of a Premixed Bunsen flame using a modified Thickened-Flame model at two Reynolds number

TL;DR

This study employs a modified Thickened Flame model within Large Eddy Simulation to accurately predict premixed methane-air flames at high Reynolds numbers, showing good agreement with experimental data and outperforming some traditional models.

Contribution

The paper introduces a modified TF model with an efficiency function based on DNS data, improving LES predictions of premixed flames at high Reynolds numbers.

Findings

Modified TF model yields predictions comparable to PDF models.

Model outperforms G-equation approach in accuracy.

Good agreement with experimental data across tested conditions.

Abstract

A modified Thickened Flame (TF) model based on Large Eddy Simulation methodology is used to investigate premixed combustion and the model predictions are evaluated by comparing with the piloted premixed stoichiometric methane-air flame data (Chen et al., 1996) for Reynolds numbers Re = 24,000 (flame F3) and Re=52,000 (flame F1). The basic idea of Thickened-Flame approach is that the flame front is artificially thickened to resolve on the computational LES grid while keeping the laminar flame speed ( ) constant. The artificially thickening of the flame front is obtained by enhancing the molecular diffusion and decreasing the pre-exponential factor of the Arrhenius law. Since the flame front is artificially thickened, the response of the thickened flame to turbulence is affected and taken care of by incorporating an efficiency function (E) in the governing equations. The efficiency function (E) in the modified TF model is proposed based on the direct numerical simulations (DNS) data set of flame-vortex interactions (Colin et al., 2000). The predicted simulation results are compared with the experimental data and with computations reported using RANS based probability distribution function (PDF) modeling approach (Lindstedt, R. P. and Vaos, E. M., 2006, Transported PDF modeling of high-Reynolds-number premixed turbulent flames, Combustion and Flame, 145, 495) and RANS based G-equation approach (Herrmann, M., 2006). It is shown that the results with the modified TF model are generally in good agreement with the data, with the TF predictions consistently comparable to the PDF model predictions and superior to the results with the G-equation approach.