2004
DOI: 10.1063/1.1780549
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A dynamic flame surface density model for large eddy simulation of turbulent premixed combustion

Abstract: A dynamic formulation for a previously developed coupled fractal-similarity model for large eddy simulation of premixed combustion is proposed. In this formulation, the fractal dimension is obtained dynamically from the resolved scales, leaving the inner cutoff scale, representative for the smallest flame structures, as the only parameter to be prescribed. The fractal model provides an accurate estimate for the mean flame surface, whereas the similarity model predicts its spatial distribution.

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Cited by 80 publications
(82 citation statements)
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“…where η i is the inner cut-off scale and D f is the fractal dimension of the flame surface [29][30][31][32][33][34]. Due to the close relation between gen = (N c /D) 1/2 and SDR, the analogy of power-law closure for FSD has been extended in previous analyses [6,7] for possible modelling of SDRÑ c :…”
Section: Mathematical Backgroundmentioning
confidence: 99%
See 1 more Smart Citation
“…where η i is the inner cut-off scale and D f is the fractal dimension of the flame surface [29][30][31][32][33][34]. Due to the close relation between gen = (N c /D) 1/2 and SDR, the analogy of power-law closure for FSD has been extended in previous analyses [6,7] for possible modelling of SDRÑ c :…”
Section: Mathematical Backgroundmentioning
confidence: 99%
“…Dynamic evaluation of power-law exponents were successfully used for the generalised Flame Surface Density (FSD) (i.e. gen = |∇c|) closure in the past [29,31] and given the close relation between FSD and SDR (i.e. gen = (N c /D) 1/2 ) it is worthwhile to consider if the dynamic evaluation of power-law exponent α D could lead to a satisfactory prediction ofÑ c .…”
Section: Introductionmentioning
confidence: 99%
“…In LES, filter width, is generally considered as outer cut-off scale and for inner cut-off scale there are several expressions available in the literature related to Gibson scale or Kolmogorov scale or laminar flame thickness. In the present study, we considered inner cut-off scale as three times of the laminar flame thickness following Knikker et al [2004]. Hence, is calculated as:…”
Section: Modelling Using Wrinkling Flame Factormentioning
confidence: 99%
“…Defining the flame wrinkling factor Ξ in the equation (3), as a ratio of flame surface density to its projection in the normal direction of the flame propagation [Knikker et al 2004] and identifying flame surface as a fractal surface between inner and outer cut-off scales leads to:…”
Section: Modelling Using Wrinkling Flame Factormentioning
confidence: 99%
“…These approaches can be broadly categorized into two classes, namely, flamelets and non-flamelets or geometrical and statistical (Gicquel et al, 2012). The geometrical category of flamelets includes thickened flame (Colin et al, 2000;De and Acharya, 2009), flame surface density or flame-wrinkling (see, for example, Boger et al 1998;Chakraborty and Cant 2007;Chakraborty and Klein 2008;Gubba et al, 2012;Hawkes and Cant 2001;Knikker et al, 2004;Wang et al, 2012), and level-set or G equation (Moureau et al, 2008;Pitsch, 2005). The statistical category of flamelets includes approaches, such as EBU (eddy-break-up model), algebraic closure involving scalar dissipation rate (Butz et al, 2015;Dunstan et al, 2013;Gao et al, 2014;Langella et al, 2015;Ma et al, 2014), and presumed probability density function (PDF) methodology with laminar flamelets.…”
Section: Introductionmentioning
confidence: 99%