Multicomponent Transport Algorithms

Ern, Alexandre; Giovangigli, Vincent

doi:10.1007/978-3-540-48650-3

Cited by 247 publications

(248 citation statements)

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“…The methodology treats the fluid as a mixture of perfect gases. We use a mixture-averaged model for differential species diffusion (see [28] for complete discussion of this approximation) and ignore Soret, Dufour, gravity and radiative transport processes. With these assumptions, the low Mach number equations for an open domain are ∂ρU ∂t…”

Section: Computational Methodologymentioning

confidence: 99%

Turbulence effects on cellular burning structures in lean premixed hydrogen flames

Day

Bell

Bremer

et al. 2009

Combustion and Flame

124

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Section: Computational Methodologymentioning

confidence: 99%

Turbulence effects on cellular burning structures in lean premixed hydrogen flames

Day

Bell

Bremer

et al. 2009

Combustion and Flame

124

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“…When there are several modes for internal energy and/or several species present in the mixture, the above simple expression is replaced by the solution of a linear system leading finally to the volume viscosity [12]. Within the approximation of Monchick and Mason, neglecting complex collisions with more than one quantum jump, the reduced system is diagonal and typically yields κ by [4]:…”

Section: Volume and Shear Viscositymentioning

confidence: 99%

“…The higher the value of m, the more expensive the underlying algorithm and the more accurate the expression for κ, hence our choice of m = 6. The simplest and cheapest of the models, m = 2 (EGSK2()) considers only the transport system matrix associated with the internal energy, whereas m = 6 (EGSK6()) corresponds to solving the matrix system associated with both translational and internal energy and relies on temperaturedependent ratios of collision integrals, which are evaluated as discussed in [12,13,54]. At the end, a direct inversion is performed to evaluate the volume viscosity for a given state of the mixture, characterized by the temperature and species mass fractions.…”

Section: Volume and Shear Viscositymentioning

confidence: 99%

“…Due to the fact that the kinetic theory does not give explicit expressions for the transport coefficients, the diffusion matrix in Eq. 11 can be expanded into convergent series, using the Stefan-Maxwell-Boltzmann equations together with some general assumptions [12][13][14]. As such, different levels of approximations of the transport properties are available, depending on the truncation order.…”

Section: Yields the Important Mass Conservation Constraint For The Spmentioning

confidence: 99%

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Impact of Volume Viscosity on the Structure of Turbulent Premixed Flames in the Thin Reaction Zone Regime

Fru

Janiga

Thévenin

2011

Flow Turbulence Combust

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Direct Numerical Simulations (DNS) of turbulent premixed flames burning hydrogen, synthetic gas and methane have been performed, relying on detailed chemical and transport models and taking into account volume viscosity. In this manner, it becomes possible to quantify the impact of this last contribution. It is shown that laminar flames are not modified by volume viscosity, while the local structure of turbulent flames may differ considerably when taking it into account. A noticeable impact is even observed on global flame properties. The modifications induced by the volume viscosity transport term are extremely small at first, but are sufficient to lead to completely different realizations at a later time due to the chaotic nature of turbulence. Noticeable modifications induced by volume viscosity are found for syngas as well as for hydrogen flames. For such hydrogen-containing fuels, the differences appear to remain unchanged when increasing the turbulent Reynolds number. On the other hand, turbulent flames burning methane show no significant impact due to volume viscosity. Since an accurate computation of the volume viscosity transport term is possible on available supercomputers, it is thus recommended to take it into account for detailed studies of turbulent flames burning hydrogen-containing fuels, in particular for DNS, while this term can be safely neglected for higher hydrocarbon flames.

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“…where D m is the mixture-averaged diffusion coefficient for species m; q is the local fluid mass density, and X m is the species mole frac- [26] for a detailed derivation and justification of this approximation).…”

Section: Numerical Simulationmentioning

confidence: 99%

A combined computational and experimental characterization of lean premixed turbulent low swirl laboratory flames II. Hydrogen flames

Day

Tachibana

Bell

et al. 2015

Combustion and Flame

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a b s t r a c tWe present simulations of laboratory-scale Low Swirl Burner (LSB) flames in order to develop a characterization of the interaction of thermal/diffusive unstable flames with turbulence at the correct scales of laboratory experiments. A Lagrangian diagnostic was developed to overcome the pitfalls of traditional Eulerian analysis techniques when applied to cellular flame systems, including the lack of a well-defined measure of ''flame progress'' and the time-dependent strain and curvature fields that evolve at scales that are faster than the residence time in the flame zone. An integrated measure of consumption along the pathlines was shown to serve as a generalized analog of the Eulerian-computed consumption-based burning speed. The diffusive fuel flux divergence along the pathlines was shown to correlate directly with integrated consumption rate. Insights gained through the Lagrangian diagnostic analysis served as the underpinning of a new procedure to interpret OH-PLIF images from the LSB experiment. This new diagnostic is able to provide a more physically meaningful approximation to the ''flame surface area'' than traditional approaches based on PIV processing.Published by Elsevier Inc. on behalf of The Combustion Institute.

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Multicomponent Transport Algorithms

Cited by 247 publications

References 0 publications

Turbulence effects on cellular burning structures in lean premixed hydrogen flames

Turbulence effects on cellular burning structures in lean premixed hydrogen flames

Impact of Volume Viscosity on the Structure of Turbulent Premixed Flames in the Thin Reaction Zone Regime

A combined computational and experimental characterization of lean premixed turbulent low swirl laboratory flames II. Hydrogen flames

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