A Planar Laser Induced Fluorescence Study of Turbulent Flame Kernel Growth and Fractal Characteristics

Gorgeon, Aziz Üngüt Arnaud; Gökalp, Skender

doi:10.1080/00102209308907675

Cited by 18 publications

(2 citation statements)

References 12 publications

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“…In Figure 5, in;3D is plotted against D=δ F , where D is the most expected diameter of coherent fine scale eddies (D ¼ 8:0η) (Tanahashi et al, 2001;Wang et al, 2007). Inner cutoffs and models reported in previous studies (Goix and Shepherd, 1993;Gorgen and Gökalp, 1993;Gülder and Smallwood, 1995;Gülder et al, 2000;Kobayashi et al, 2005;Peters, 1986;Poinsot et al, 1990;Roberts et al, 1993;Shim et al, 2011;Smallwood et al, 1995) are also shown in Figure 5. The 3D inner cutoffs in;3D obtained in the present DNS have a comparable trend with previous experimental and numerical results shown in the figure.…”

Section: Fractal Characteristicsmentioning

confidence: 99%

A Fractal Dynamic SGS Combustion Model for Large Eddy Simulation of Turbulent Premixed Flames

Hiraoka

Minamoto

Shimura

et al. 2016

Combustion Science and Technology

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Direct numerical simulation of a turbulent hydrogen-air premixed plane jet flame is performed to investigate fractal characteristics and to evaluate the fractal dynamic subgrid scale (FDSGS) combustion model. The DNS results show that the fractal dimension of flame surfaces increases with the downstream distance, and the fractal dimension computed using a 3D box-counting method reaches about 2.54 in the region where turbulence is developed by mean shear. An inner cutoff representation employed in the FDSGS combustion model could be used in large eddy simulations (LES) of complicated combustion problems. Static tests show that the procedure applied in the FDSGS combustion model adequately predicts the fractal dimension, Kolmogorov length scale, and flame surface area despite the presence of strong mean shear. Dynamic model evaluations are also carried out by conducting a series of LES using the FDSGS and other combustion models. In the dynamic tests, the mean temperature distributions and peak positions of variations of a reaction progress variable fluctuation in the transverse direction obtained from the LES with the FDSGS combustion model show good agreement with the filtered DNS fields. The present evaluation also revealed that one of the strengths in the FDSGS combustion modeling approach is that the model does not require SGS turbulent velocity fluctuation, since modeling of this quantity is straightforward for neither homogeneous turbulence nor the turbulent shear flows. ARTICLE HISTORY

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Section: Fractal Characteristicsmentioning

confidence: 99%

A Fractal Dynamic SGS Combustion Model for Large Eddy Simulation of Turbulent Premixed Flames

Hiraoka

Minamoto

Shimura

et al. 2016

Combustion Science and Technology

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“…Planar imaging of OH-LIF were applied to a turbulent nonpremixed flame (Seitzman, 1990;Johnson, 1993), a laminar nonpremixed flame in unsteady vortical flow (Lewis et al, 1988), visualization of turbulent flame kernel growth and fractal characteristics (Gorgeon et al, 1993). Plane imaging of CH 4 concentration in turbulent jet flames by Raman scattering (Schefer et al, 1988) and plane imaging of parent fuel fraction in non-premixed flames by LIF are presented (Tait et al, 1992).…”

Section: Flame Visualization By Laser-induced Fluorescence and Concenmentioning

confidence: 99%

Structure and dynamic behavior of combustion visualized by 2-D laser diagnostics

Takagi

Komiyama

Miyafuji

et al. 2000

J Vis

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: This paper describes studies of structure and dynamic behavior of combustion by use of laseraided two-dimensional flame visualization. Attentions are given to the recent development of the laser sheet imaging techniques of velocity, temperature and concentration and its application to flame visualization. Visualization of turbulent diffusion flames by use of RIV (Rayleigh scattering Image Velocimetry) and OH-PLIF conducted by the authors are presented together with the short review of laser diagnostics of combustion.

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Characterization of flame front surfaces in turbulent premixed methane/Air combustion

Smallwood

Gülder

Snelling

et al. 1995

Combustion and Flame

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A Planar Laser Induced Fluorescence Study of Turbulent Flame Kernel Growth and Fractal Characteristics

Cited by 18 publications

References 12 publications

A Fractal Dynamic SGS Combustion Model for Large Eddy Simulation of Turbulent Premixed Flames

A Fractal Dynamic SGS Combustion Model for Large Eddy Simulation of Turbulent Premixed Flames

Structure and dynamic behavior of combustion visualized by 2-D laser diagnostics

Characterization of flame front surfaces in turbulent premixed methane/Air combustion

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