DNS and LES of Turbulence-Combustion Interactions
DNS and LES of Turbulence-Combustion Interactions
One of the most successful applications of direct numerical simulation (DNS) has been in the study of turbulent combustion. This is due to the ability of DNS to resolve the full range of time and length scales in which turbulence and chemical reactions interact with each other. One prominent example is the turbulent diffusion flame, in which turbulent mixing determines the main characters of combustion while chemical reactions strongly influence turbulence. The
present chapter focuses on turbulence-combustion interactions in variable-density flows, in which turbulent fluctuations in pressure, density and other variables play important roles. The phenomena of combustion-generated turbulence, decreased Reynolds stress anisotropy, counter-gradient diffusion, and combustion-generated
buoyancy can all be attributed to the coupling between turbulence and chemical heat release through density and pressure fluctuations. In contrast, the application of large eddy simulation (LES) in turbulent combustion has been slow and controversial, but carries a huge potential. The subgrid-scale modeling difficulties are not only related to the treatment of the highly non-linear chemical source term, but also
connected to the handling of extra subgrid terms in the energy and species transport equations, as compared with the case of non-reacting flow. The existence of counter-gradient diffusion, and the significance of viscous diffusion and dissipation in combusting flow present particular challenges. Despite all the difficulties, LES
has been successfully used in simulating turbulent reacting flows under comparable conditions as found in experiments, subject to certain limitations. One example is the simulation of buoyant reacting plumes in which flow transition, intermittency and fully-developed turbulence co-exist.
1-930217-04-8
263-295
Luo, K.H.
1c9be6c6-e956-4b12-af13-32ea855c69f3
2001
Luo, K.H.
1c9be6c6-e956-4b12-af13-32ea855c69f3
Luo, K.H.
(2001)
DNS and LES of Turbulence-Combustion Interactions.
In,
Geurts, Bernard J.
(ed.)
Modern simulation strategies for turbulent flow.
R.T. Edwards, .
Record type:
Book Section
Abstract
One of the most successful applications of direct numerical simulation (DNS) has been in the study of turbulent combustion. This is due to the ability of DNS to resolve the full range of time and length scales in which turbulence and chemical reactions interact with each other. One prominent example is the turbulent diffusion flame, in which turbulent mixing determines the main characters of combustion while chemical reactions strongly influence turbulence. The
present chapter focuses on turbulence-combustion interactions in variable-density flows, in which turbulent fluctuations in pressure, density and other variables play important roles. The phenomena of combustion-generated turbulence, decreased Reynolds stress anisotropy, counter-gradient diffusion, and combustion-generated
buoyancy can all be attributed to the coupling between turbulence and chemical heat release through density and pressure fluctuations. In contrast, the application of large eddy simulation (LES) in turbulent combustion has been slow and controversial, but carries a huge potential. The subgrid-scale modeling difficulties are not only related to the treatment of the highly non-linear chemical source term, but also
connected to the handling of extra subgrid terms in the energy and species transport equations, as compared with the case of non-reacting flow. The existence of counter-gradient diffusion, and the significance of viscous diffusion and dissipation in combusting flow present particular challenges. Despite all the difficulties, LES
has been successfully used in simulating turbulent reacting flows under comparable conditions as found in experiments, subject to certain limitations. One example is the simulation of buoyant reacting plumes in which flow transition, intermittency and fully-developed turbulence co-exist.
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Published date: 2001
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Local EPrints ID: 23112
URI: http://eprints.soton.ac.uk/id/eprint/23112
ISBN: 1-930217-04-8
PURE UUID: 443392fb-f8b1-4c57-9b2e-db666c7d2374
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Date deposited: 05 Apr 2006
Last modified: 11 Dec 2021 14:42
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Author:
K.H. Luo
Editor:
Bernard J. Geurts
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