Validation of a Turbulent Flame Speed Model across Combustion Regimes

Kolla, Hemanth; Rogerson, Jim; Swaminathan, Nedunchezhian

doi:10.1080/00102200903341587

Cited by 62 publications

(60 citation statements)

References 44 publications

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“…Equation (1) suggests that the modelling of mean scalar dissipation rate yields a model for the mean burning rate. This approach has been used in [11,12] in conjunction with the Kolmogorov-Petrovskii-Piskunov (KPP) analysis to obtain an expression for the turbulent flame speed.…”

Section: Introductionmentioning

confidence: 99%

“…However, Lipatnikov and Chomiak [1] have shown that the KPP analysis is applicable equally when the density and the diffusivity are not constant. The analysis [11] of statistically nonplanar flames using Taylor's series expansion of Hakberg and Gosman [2] results in an expression similar to (2). In the presence of counter gradient flux, which is known to occur inside the flame brush when the thermochemical effects are stronger than the turbulence effects, Corvellec et al [14] have noted that the solution to the KPP analysis is limited by the condition at the burnt side ( c → 1) rather than by the condition at the unburnt side ( c → 0).…”

Section: Introductionmentioning

confidence: 99%

“…Also, algebraic models for the mean scalar dissipation rate and turbulent flame speed that appropriately include these couplings have been proposed recently [12] using the models developed [22] for various terms in the scalar dissipation rate transport equation. These models were validated using turbulent flame speed data covering a wide range of flame configurations and conditions [11].…”

Section: Introductionmentioning

confidence: 99%

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Influence of Turbulent Scalar Mixing Physics on Premixed Flame Propagation

Kolla

Swaminathan

2011

Journal of Combustion

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The influence of reactive scalar mixing physics on turbulent premixed flame propagation is studied, within the framework of turbulent flame speed modelling, by comparing predictive ability of two algebraic flame speed models: one that includes all relevant physics and the other ignoring dilatation effects on reactive scalar mixing. This study is an extension of a previous work analysing and validating the former model. The latter is obtained by neglecting modelling terms that include dilatation effects: a direct effect because of density change across the flame front and an indirect effect due to dilatation on turbulence-scalar interaction.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Influence of Turbulent Scalar Mixing Physics on Premixed Flame Propagation

Kolla

Swaminathan

2011

Journal of Combustion

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“…The use of biomass-the ability of different turbulence scales to wrinkle the flame front and strain the flame [5, 6,7].This is done to reflect the observation that compared to thick flames, thin flames can be wrinkled by smaller turbulent length scales, thus producing more surface area and higher turbulent burning velocities.…”

Section: Introductionmentioning

confidence: 99%

A laminar burning velocity and flame thickness correlation for ethanol–air mixtures valid at spark-ignition engine conditions

Vancoillie

Demuynck

Galle

et al. 2012

Fuel

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The use of biomass-derived ethanol in spark-ignition engines is an interesting op-10 tion to decarbonize transport and increase energy security. An engine cycle code valid for this fuel, could help to explore its full potential. Crucial building blocks to model the combustion in ethanol engines are the laminar burning velocity and flame thickness of the ethanol-air-residuals mixture at instantaneous cylinder pressure and temperature. This information is often implemented in engine codes using correlations. A literature 15 survey showed that the few available flame thickness correlations have not yet been validated for ethanol. Also, none of the existing ethanol laminar burning velocity correlations covers the entire temperature, pressure and mixture composition range as encountered in spark-ignition engines. Moreover, most of these correlations are based on measurements that are compromised by the effects of flame stretch and the occurrence 20 of flame instabilities. For this reason, we started working on new correlations based on flame simulations using a one-dimensional chemical kinetics code.In this paper the published experimental data for the laminar burning velocity of ethanol are reviewed. Next, the performance of several reaction mechanisms for the oxidation kinetics of ethanol-air mixtures is compared. The best performing mecha-25 nisms are used to calculate the laminar burning velocity and flame thickness of these mixtures in a wide range of temperatures, pressures and compositions. Finally, based on these calculations, correlations for the laminar burning velocity and flame thickness covering the entire operating range of ethanol-fuelled spark-ignition engines, are presented. These correlations can now be implemented in an engine code.

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“…The laminar burning 40 velocity of methanol-air mixtures has been studied by the current authors in previous work [5,6,7,8]. Turbulent burning velocity data for methanol-air mixtures are scarce, and difficult to compare due to reasons associated with the definition of the turbulent burning velocity as well as its dependency on experimental techniques and rigs [9].…”

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confidence: 99%

The turbulent burning velocity of methanol–air mixtures

Vancoillie

Sharpe²,

Lawes

et al. 2014

Fuel

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Methanol is a sustainable and versatile alternative fuel for spark-ignition engines and other combustion applications. To characterize the combustion behavior of this fuel, a good understanding of the factors affecting its turbulent burning velocity is re-10 quired. This paper presents experimental values of the turbulent burning velocity of methanol-air mixtures obtained in a fan-stirred bomb, for u ′ = 2-6 m/s, φ= 0.8-1.4, T= 358 K and pressures up to 0.5 MPa. In combination with laminar burning velocity values previously obtained on the same rig, these measurements are used to provide better insight into the various factors affecting u t of methanol, and to assess to what degree 15 existing turbulent combustion models can reproduce experimental trends. It appeared that most models correctly accounted for the effects of turbulent rms velocity u ′ . With respect to the effects of φ and pressure, however, models accounting for flame stretch and instabilities, through the inclusion of model terms depending on thermodiffusive mixture properties and pressure, had a slight edge on simpler formulations.

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Validation of a Turbulent Flame Speed Model across Combustion Regimes

Cited by 62 publications

References 44 publications

Influence of Turbulent Scalar Mixing Physics on Premixed Flame Propagation

Influence of Turbulent Scalar Mixing Physics on Premixed Flame Propagation

A laminar burning velocity and flame thickness correlation for ethanol–air mixtures valid at spark-ignition engine conditions

The turbulent burning velocity of methanol–air mixtures

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