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LES modelling of propagating turbulent premixed flames using a dynamic flame surface density model

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conference contribution
posted on 04.02.2010 by Sreenivasa Rao Gubba, Salah Ibrahim, Weeratunge Malalasekera, Assaad R. Masri
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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

GUBBA, S.R. ... et al, 2007. LES modelling of propagating turbulent premixed flames using a dynamic flame surface density model. IN: D. Roekaerts, P. Coelho, B.J. Boersma, K. Claramunt (eds.). 2nd ECCOMAS Thematic Conference on Computational Combustion, 18-20 July 2007, Delft University of Technology, the Netherlands. Technische Universiteit Delft, TNW, 2007

Publisher

Delft University of Technology

Version

AM (Accepted Manuscript)

Publication date

2007

Notes

This is a conference paper.

ISBN

9789081176811

Language

en

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