White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

LES Modelling of Propagating Turbulence Premixed Flames using a Dynamic Flame Surface Density Model

Gubba, SR, Ibrahim, SS, Malalasekera, W and Masri, AR LES Modelling of Propagating Turbulence Premixed Flames using a Dynamic Flame Surface Density Model. In: Roekaerts, D, Coelho, P, Boersma, BJ and Claramunt, K, (eds.) 2nd ECCOMAS Thematic Conference on Computational Combustion. Computational Combusion 2007, ECCOMAS Thematic Conference, 18-20 July 2007, Delft, The Netherlands. . ISBN 978-90-811768-1-1

[img] Text
Available under licence : See the attached licence file.

Download (443Kb)


A Dynamic flame surface density (DFSD) model, developed recently from experimental images for transient turbulent premixed flames, is implemented and tested using the large eddy simulation (LES) modelling technique. Numerical predictions from DFSD model are compared with those predicted using the flame surface density (FSD) sub-grid scale (SGS) model for reaction rate. In the SGS-DFSD model, dynamic formulation of the reaction rate is coupled with the fractal analysis of the flame front structure. The fractal dimension is evaluated dynamically from an empirical formula based on the sub-grid velocity fluctuations. A laboratory scale combustion chamber with inbuilt solid obstacles is used for model validation and comparisons. The flame is initiated from igniting a stichiometric propane/air mixture from stagnation. The results obtained with the DFSD model are in good comparisons with experimental data and the essential features of turbulent premixed combustion are well captured. It has also been observed that the SGS-DFSD model for reaction rate found to capture the unresolved flame surface density contributions. Further investigations are planned to examine and validate of the SGS-DFSD for different flow geometries.

Item Type: Proceedings Paper
Keywords: LES, Turbulent premixed combustion, Dynamic flame surface density, Fractal theory
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds) > Computational Fluid Dynamics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 24 Nov 2010 18:58
Last Modified: 08 Mar 2016 20:27
Status: Published
URI: http://eprints.whiterose.ac.uk/id/eprint/42653

Actions (repository staff only: login required)