Effects of flame stretch and wrinkling on co formation in turbulent premixed combustion

Nilsson, Per; Bai, Xue‐Song

doi:10.1016/s1540-7489(02)80227-9

Cited by 26 publications

(26 citation statements)

References 22 publications

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“…The amelet library (X (g)) contains the distribution proÿles of density, temperature, viscosity and species concentrations across the laminar amelet (as a function of distance function) [3,4]. In order to perform the above integration, the PDF of distance function (˝(g)), which is related to the PDF of the amelet position, has to be known.…”

Section: Ensemble Averagingmentioning

confidence: 99%

“…The test is based on the VR-1 conÿguration, investigated previously [3,4]. In VR-1, a turbulent V-shaped ame is established downstream of a prismatic ame holder in a duct with a rectangular section.…”

Section: The Test Casementioning

confidence: 99%

“…The base G = 0 line is computed in a real ame conÿguration [3,4,11]. The sensitivity to the grid resolution has been tested in a similar conÿguration with isotropic grid.…”

Section: Gridmentioning

confidence: 99%

“…Since 1, the condition |∇ G|1 is fulÿlled. In a recent work [4], it was shown that the re-scaling of distance function can lead to signiÿcant improvement of the simulation of intermediate species. As noted, the co-ordinate stretching method is not valid for the owÿeld far away from the mean ame brush.…”

Section: Detailed Investigation Of Pdfsmentioning

confidence: 99%

“…The mean distance function which is the averaged signed distance to the amelet surface, is employed in ensemble averaging of the amelet library over a presumed probability distribution of distance function. Mean density, temperature, viscosity and species concentrations at any point in the owÿeld can be calculated using the ensemble average [2][3][4]. The solution for mean density and viscosity are coupled with the numerical solution of the RANS equations in an iterative procedure.…”

Section: Introductionmentioning

confidence: 99%

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PDF of distance function for level‐set flamelet library modelling

Nilsson¹,

Bai²

2003

Numerical Methods in Fluids

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SUMMARYThe di erence between a presumed distribution of amelet position and a numerically simulated distribution of distance function (a signed distance to amelet) is investigated. It is shown that even if the distribution of amelet position is symmetrical and close to Gaussian, the distribution of distance function away from the mean ame position is skewed towards the mean position and the mean of the distance function is also di erent from the distance to the mean position. The di erence depends on the distance to the mean ame and the ame wrinkling amplitude. An extension method for the variance of the distance function and an upwind scheme for solving the re-initialization equation are presented. A numerical simulation of a premixed turbulent ame is compared to experimental data.

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Section: Ensemble Averagingmentioning

confidence: 99%

Section: The Test Casementioning

confidence: 99%

“…The base G = 0 line is computed in a real ame conÿguration [3,4,11]. The sensitivity to the grid resolution has been tested in a similar conÿguration with isotropic grid.…”

Section: Gridmentioning

confidence: 99%

Section: Detailed Investigation Of Pdfsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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PDF of distance function for level‐set flamelet library modelling

Nilsson¹,

Bai²

2003

Numerical Methods in Fluids

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Modeling and 3D-Simulation of the Kinetic Effects in the Post-Flame Region of Turbulent Premixed Flames Based on the G-Equation Approach

Schneider

Sadiki

Janicka

2005

Flow Turbulence Combust

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In order to simulate the premixed turbulent flame and to study the thermodynamical and chemical state in the post flame region we integrate a number of appropriate submodels in a complete model. The flame front position is described as an iso-surface of a field variable G, and chemistry and turbulence-chemistry interaction models are conditioned on the flame front position following the conditioned progress variable approach (CPVA). Three special features of the model have been addressed to clarify following questions: (1) Is it really necessary to apply the conditioned progress variable approach, or is the ILDM based on the multivariate presumed PDF alone able to predict the flame behavior with reasonable accuracy? (2) Is the CPVA based on ILDM notedly advantageous compared to that based on the chemistry equilibrium? (3) How noticeable is the influence of some model parameters for the description of the flame brush thickness on the prediction of species concentration in the postflame region? For this purpose, some simulation results are presented and compared with experimental data of a turbulent premixed flame, the so-called "F2" case experimentally investigated by Chen et al. [Combust. Flame 107 (1996) 223-224]. Comparison results with different model combinations along with equilibrium chemistry consideration reveal that the CPVA based on ILDM achieved better agreement with experimental data provided suitable value for the model parameter is used.

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Progress in the Self-Similar Turbulent Flame premixed combustion model

Moreau

2010

Applied Mathematical Modelling

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This paper is devoted to premixed combustion modeling in turbulent flow. First, we briefly remind the main features of the Self-Similar Turbulent Flame model that was more extensively developed in a former paper. Then, we carefully describe some improvements of the model. The determination of the turbulent flame velocity is based on the observed self-similarity of the turbulent flame and uses the local flame brush width as a fundamental parameter, which must be retrieved. With respect to the former version, we now derive more rigorously how the density variation has to be taken into account in the width retrieving function. We reformulate the diffusion term as a classical flux divergence term. We enforce the compatibility of the model for the limit of weak turbulence. We include a contracting effect of the source term, thus allowing to give a stationary mono-dimensional asymptotic solution with a finite width. We also include in a preliminary form, a stretch factor, which proves to be useful for controlling the flame behavior close to the flame holder and near the walls. The model implementation in the Star-CD CFD code is then tested on three different flame configurations. Finally, we shortly discuss the model improvements and the simulation results.

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Effects of flame stretch and wrinkling on co formation in turbulent premixed combustion

Cited by 26 publications

References 22 publications

PDF of distance function for level‐set flamelet library modelling

PDF of distance function for level‐set flamelet library modelling

Modeling and 3D-Simulation of the Kinetic Effects in the Post-Flame Region of Turbulent Premixed Flames Based on the G-Equation Approach

Progress in the Self-Similar Turbulent Flame premixed combustion model

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