Large eddy simulation of partially premixed flames with inhomogeneous inlets based on the DTF combustion model

Study of partially premixed flames involves a practical importance. In the present work, large eddy simulations (LES) are performed using dynamic thickened flame (DTF) model to study the challenging turbulent partially premixed flames with inhomogeneous and near-homogeneous inlets. In order to apply the DTF model for partially premixed flames, laminar flame thickness and laminar flame speed parameters are introduced as fitting functions of mixture fraction values. Therefore, thickening factor and efficiency function used in the DTF model can be adjusted according to mixture fraction values at the flame locations. The detailed comparisons of calculated mixture fraction and temperature radial statistics with experimental results show the good agreement between simulation and experimental results. Investigations of important combustion characteristics like local extinctions and blow-off limits further validate current sub-grid scale combustion modeling approach. Additionally, quantitative assessment of simulation results is performed by Wasserstein metric. The Wasserstein metric calculations exhibit modeling error close to one in terms of standard deviation for all the considered flame cases, showing the good performance of current simulations. & COPY; 2023 Elsevier Masson SAS. All rights reserved.

Automated summary

This study investigates turbulent partially premixed flames using a dynamic thickened flame (DTF) model in large eddy simulations (LES). The DTF model is adjusted based on laminar flame thickness and speed parameters, which serve as fitting functions for mixture fraction values. Comparison with experimental results shows good agreement in terms of mixture fraction and temperature radial statistics. The sub-grid scale combustion modeling approach is further validated through investigations of important combustion characteristics, such as local extinction and blow-off limits. The simulations are quantitatively assessed using the Wasserstein metric, which demonstrates good performance.