Determination of three-dimensional flamelet orientation distributions in turbulent V-flames from two-dimensional image data

Sattler, S.S.; Knaus, Darin A.; Gouldin, F. C.

doi:10.1016/s1540-7489(02)80216-4

Cited by 38 publications

(26 citation statements)

References 12 publications

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“…A variety of approaches are used to stabilize premixed turbulent flames in the laboratory [10]. For example, the Twenty-Ninth Combustion Symposium includes studies by Sattler et al [33] of a turbulent V-flame, Shepherd et al [34] of a swirl-stabilized flame, Most et al [24] of a bluff-body stabilized flame, MSC2000: 80A25, 93C20, 65M06, 65M50. Keywords: active control, statistically stationary, turbulent flames.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

Active control for statistically stationary turbulent premixed flame simulations

Bell

Day

Grcar

et al. 2006

CAMCoS

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“…In a previous study [5] it was found that measures of flamelet wrinkling and mean turbulent combustion rate increase linearly with downstream distance from the flame holder. A goal of the present research has been to use CPLT-SPIV data to explain variations in the rates of increase observed from flame condition to flame condition.…”

Section: Downstream Development Ofpremixed Turbulent V-flamesmentioning

confidence: 90%

Support for Advanced Imaging of Premixed Turbulent Combustion Processes

Gouldin¹

2004

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“…Extensive experimental (e.g. Smith and Gouldin, 1978;Veynante et al, 1994;Gouldin, 1996;Shepherd, 1996;Sattler et al, 2002) and numerical (e.g. Alshaalan and Rutland, 1998;Domingo et al, 2005;Bell et al, 2005) studies on this type of flame have been carried out previously.…”

Section: V-flame Dns Datamentioning

confidence: 99%

On the Space-Time Correlation of Heat Release Rate in Turbulent Premixed Flames

Liu

2015

Combustion Science and Technology

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The spectral characteristics of combustion noise is dictated by the temporal correlation of the heat release rate fluctuation. This paper investigates the two-point space-time correlation of heat release rate fluctuations by analysing recent direct numerical simulation (DNS) data of turbulent premixed flames. The results show that this correlation decays rapidly in both space and time due to the abrupt fluctuation of the heat release rate. The two-point space-time correlation can be modelled by Gaussian-type functions including the streamwise direction with strong convection. A flat low-frequency dependence is observed for the spectrum of the correlation function, which will allow the modelling of the spectral peak and the low-frequency spectral slope of combustion noise when multiplying the term ω 2 (ω is the angular frequency). This exploratory work shows the potential of this correlation function for capturing the spectral shape of combustion noise.

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Determination of three-dimensional flamelet orientation distributions in turbulent V-flames from two-dimensional image data

Cited by 38 publications

References 12 publications

Active control for statistically stationary turbulent premixed flame simulations

Active control for statistically stationary turbulent premixed flame simulations

Support for Advanced Imaging of Premixed Turbulent Combustion Processes

On the Space-Time Correlation of Heat Release Rate in Turbulent Premixed Flames

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