1985
DOI: 10.1016/0010-2180(85)90075-6
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Unified modeling approach for premixed turbulent combustion—Part I: General formulation

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Cited by 349 publications
(220 citation statements)
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“…(B6)-(B9) into Eq. (B2), the conversion from the conventional to Favre average of reaction progress variable based on BML theory [6] and the expression for the mean reaction rate based on flame surface density lead to,…”
Section: Discussionmentioning
confidence: 99%
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“…(B6)-(B9) into Eq. (B2), the conversion from the conventional to Favre average of reaction progress variable based on BML theory [6] and the expression for the mean reaction rate based on flame surface density lead to,…”
Section: Discussionmentioning
confidence: 99%
“…Variable density effects combine with an imposed mean pressure gradient and the measurements and post-processing by Goh et al [78] permits the conversion of the (measured) conventional averages to Favre-averaged data using BML based formulations [6] as listed in Appendix D.…”
Section: Opposed Jet Flamesmentioning
confidence: 99%
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“…The mixture density ρ can be expressed as ρ = ρ 0 /(1 + τT) for flames with constant molecular weight (as in the present DNS), where T = (T − T 0 )/(T ad − T 0 ) is the non-dimensional temperature. 81 The non-dimensional temperature T can be equated to c for globally adiabatic, low Mach number Le = 1.0 flames, which leads to ∇ρ = −τ ρ 2 ∇c/ρ 0 = τ ρ 2 |∇c| ⃗ N/ρ 0 . Thus, the vectors ∇ρ and ∇c are parallel (alternatively ∇ρ × ∇p and ⃗ N = −∇c/|∇c| are mutually perpendicular) in the Le = 1.0 flame considered here.…”
Section: -11mentioning
confidence: 99%
“…Until recent development of 2D and 3D simulations, experimental measurements have been used mostly to assist in the development of second order closure methods for 1D flame models (e.g. Bray-Moss-Libby model [13] ). By virtue of the 1D assumption, BML type models cannot be generalized for most flame configurations but the empirical constants used in the closure models can be configuration or flowfield specific.…”
Section: Discussion and Implications On Theories And Numerical Simulamentioning
confidence: 99%