Numerical simulation of premixed turbulent methane combustion

Bell, John B.; Day, Marcus S.; Almgren, Ann S.; CHENG, P; Shepherd, I.G.

doi:10.1016/b978-008044046-0/50306-7

Cited by 10 publications

(12 citation statements)

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“…A similar picture is presented by CO 2 ( figure low-temperature activity) present strong curvature dependence (as previously reported [5]), where concentrations drop almost to zero in regions of high positive curvature, and far exceed the peak value of the unstrained laminar flame in regions of negative curvature (again, highlighted in black). Molecular and atomic hydrogen (figure 5(g,h)) are highly diffusive, and are considered sepa-…”

supporting

confidence: 62%

“…The earliest work in this area investigated two-dimensional configurations using a detailed C1 mechanism [1,2,3,4]. Bell et al [5] produced the first simulation of a turbulent methane flame in three dimensions with moderate-fidelity kinetics using DRM-19, which 20 is a simplified mechanism derived from GRIMech 1.2. Simulations using DRM-19 for a variety of experimental configuration have been presented in [6,7].…”

mentioning

confidence: 99%

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Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics

Aspden

Day

Bell

2016

Combustion and Flame

100

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supporting

confidence: 62%

mentioning

confidence: 99%

Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics

Aspden

Day

Bell

2016

Combustion and Flame

100

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“…Clearly, there is no systematic relationship between the maximum flame surface density and the turbulence intensity. Results from direct numerical simulation efforts (Bell et al, 2002;Boger et al, 1998) also do not indicate any dependence of the flame surface density on turbulent rms velocity.…”

Section: Flame Surface Densities In Premixed Combustion 197mentioning

confidence: 89%

Flame Surface Densities in Premixed Combustion at Medium to High Turbulence Intensities

Gülder

Smallwood

2007

Combustion Science and Technology

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The surface densities of flame fronts in turbulent premixed propane= air flames were determined experimentally. The instantaneous flame fronts were visualized using laser induced fluorescence (LIF) of OH on two Bunsen type burners of 11.2 and 22.4 mm diameters. Nondimensional turbulence intensity, u 0 =S L , was varied from 0.84 to 15, and the Reynolds number, based on the integral length scale, varied from 34 to 467. These flames are in the flamelet combustion regime as defined by the most recent turbulent premixed combustion diagrams. From 100 to 800 images were recorded for each experimental condition. Flame surface densities were obtained from the instantaneous maps of the progress variable, which is zero in the reactants and unity in the products. These flame surface densities were corrected for the mean direction cosines of the flame fronts, which had a typical value of 0.69 for the Bunsen flames. In the non-dimensional turbulence intensity range of up to 15, it was found that the maximum flame surface density and the integrated flame surface density across the flame brush do not show any significant dependence on turbulence intensity. This was discussed in the framework of a flame surface density-based turbulent premixed flame propagation closure model.

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“…More recently Tanahashi et al [36; 37] have performed simulations of this type for turbulent premixed hydrogen flames with detailed hydrogen chemistry. Bell et al [3] performed a similar study for a turbulent methane flame.…”

Section: Introductionmentioning

confidence: 84%

Active control for statistically stationary turbulent premixed flame simulations

Bell

Day

Grcar

et al. 2006

CAMCoS

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The speed of propagation of a premixed turbulent flame correlates with the intensity of the turbulence encountered by the flame. One consequence of this property is that premixed flames in both laboratory experiments and practical combustors require some type of stabilization mechanism to prevent blow-off and flashback. The stabilization devices often introduce a level of geometric complexity that is prohibitive for detailed computational studies of turbulent flame dynamics. Furthermore, the stabilization introduces additional fluid mechanical complexity into the overall combustion process that can complicate the analysis of fundamental flame properties. To circumvent these difficulties we introduce a simple, heuristic feedback control algorithm that allows us to computationally stabilize a turbulent premixed flame in a simple geometric configuration. For the simulations, we specify turbulent inflow conditions and dynamically adjust the integrated fueling rate to control the mean location of the flame in the domain. We outline the numerical procedure, and illustrate the behavior of the control algorithm on methane flames at various equivalence ratios in two dimensions. The simulation data are used to study the local variation in the speed of propagation due to flame surface curvature.

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Numerical simulation of premixed turbulent methane combustion

Cited by 10 publications

References 0 publications

Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics

Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics

Flame Surface Densities in Premixed Combustion at Medium to High Turbulence Intensities

Active control for statistically stationary turbulent premixed flame simulations

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