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Large eddy simulation of a premixed flame with approximate deconvolution modeling

Mathew, Joseph (2002) Large eddy simulation of a premixed flame with approximate deconvolution modeling. In: Symposium (International) on Combustion : Proceedings, 29 (part 2). 1995-2000 .

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Official URL: http://dx.doi.org/10.1016/S1540-7489(02)80243-7

Abstract

Approximate deconvolution modeling is a very recent approach to large eddy simulation of turbulent flows. It has been applied to compressible flows with success. Here, a premixed flame which forms in the wake of a flameholder has been selected to examine the subgrid-scale modeling of reaction rate by this new method because a previous plane two-dimensional simulation of this wake flame, using a wrinkling function and artificial flame thickening, had revealed discrepancies when compared with experiment. The present simulation is of the temporal evolution of a round wakelike flow at two Reynolds numbers, Re = 2000 and 10,000, based on wake defect velocity and wake diameter. A Fourier-spectral code has been used. The reaction is single-step and irreversible, and the rate follows an Arrhenius law. The reference simulation at the lower Reynolds number is fully resolved. At Re = 10,000, subgrid-scale contributions are significant. It was found that subgrid-scale modeling in the present simulation agrees more closely with unresolved subgrid-scale effects observed in experiment. Specifically, the highest contributions appeared in thin folded regions created by vortex convection. The wrinkling function approach had not selected subgrid-scale effects in these regions.

Item Type: Journal Article
Publication: Symposium (International) on Combustion : Proceedings
Publisher: Combustion inst
Additional Information: Copyright of this article belongs to Combustion inst.
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited: 19 Jul 2011 09:48
Last Modified: 19 Jul 2011 09:48
URI: http://eprints.iisc.ac.in/id/eprint/39257

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