Numerical and Analytical Assessment of Finite Rate Chemistry Models for LES of Turbulent Premixed Flames

Liu, Haochen; Yin, Zifei; Xie, Wenwen; Zhang, Bin; Le, Jialing; Liu, Hong

doi:10.1007/s10494-022-00329-7

Cited by 7 publications

(3 citation statements)

References 58 publications

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“…However, for F = 0:81 addressed in the present work, the influence of differences in molecular transport coefficients on U T =S L is known to be weak. [56][57][58] Accordingly, the present conditions appear to be beneficial for the PSR model when compared to, for example, a recent study by Liu et al 31 et al, where DNS data obtained from significantly leaner (F = 0:4) H 2 -air mixtures associated with strong differential diffusion effects 45,58 were analyzed.…”

Section: Dns Attributes and Datamentioning

confidence: 84%

“…Besides, a recent a priori study by Liu et al, 31 performed by analyzing DNS data computed at four different Karlovitz numbers, has shown that (i) the PSR model performance is improved with increasing Ka and, (ii) at the highest Ka , the model performs well (worse) if Δ = 0 . 2 δ L ( Δ = 0 . 6 δ L , respectively).…”

Section: Discussionmentioning

confidence: 99%

“…In particular, the PSR model is a default complex-chemistry model of flame-turbulence interaction in a popular CFD software such as Converge. 20 Nevertheless, despite the wide use, the PSR model has yet been rarely assessed in a priori study, 31 whereas results of a posteriori test performed by simulating turbulent flames in an internal combustion engine should be considered with care, because such results are sensitive to many other models, their constants, boundary conditions, numerical methods, etc.…”

Section: Introductionmentioning

confidence: 99%

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A priori test of perfectly stirred reactor approach to evaluating mean fuel consumption and heat release rates in highly turbulent premixed flames

Lipatnikov

2023

International Journal of Engine Research

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Unsteady three-dimensional Direct Numerical Simulation (DNS) data obtained earlier by Dave et al. ( J Fluid Mech 2020; 884: A46) from a statistically planar and one-dimensional, highly turbulent, moderately lean hydrogen-air flame propagating in a box are processed to perform a priori test of perfectly stirred reactor model. The test aims in particularly at estimating mesh resolution (or filter width within large eddy simulation framework) required to neglect variations in the temperature and mixture composition within a computational cell when evaluating mean (or filtered) fuel consumption and heat release rates. For this purpose, fuel consumption and heat release rates sampled directly from the DNS data and averaged over a cube of width [Formula: see text] are compared with fuel consumption and heat release rates calculated using the temperature and species concentrations averaged over the same cube. Moreover, turbulent burning velocities computed by integrating the former and latter rates are compared with one another. A ratio of [Formula: see text] to a laminar flame thickness [Formula: see text] is varied from 0.44 to 1.8. The obtained results indicate that the tested simple approach performs reasonably well (poor) if [Formula: see text] ([Formula: see text], respectively). This result is further supported by directly filtering fuel consumption rate in a laminar premixed flame. The values of the thickness [Formula: see text], calculated using detail chemical mechanisms for different fuels under elevated temperatures and pressures associated with combustion in piston engines, indicate that it is difficult to satisfy the constraint of [Formula: see text] in contemporary unsteady multidimensional numerical simulations of turbulent burning in such engines.

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Section: Dns Attributes and Datamentioning

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A priori test of perfectly stirred reactor approach to evaluating mean fuel consumption and heat release rates in highly turbulent premixed flames

Lipatnikov

2023

International Journal of Engine Research

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LES Modeling of the DLR Generic Single-Cup Spray Combustor: Validation and the Impact of Combustion Chemistry

Åkerblom,

Fureby

2023

Flow Turbulence Combust

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Turbulent spray combustion in a generic kerosene-fueled single-cup combustor at typical idle and cruise conditions of an aeroengine are studied with Large Eddy Simulations (LES) using Lagrangian spray and finite-rate chemistry combustion modeling. Three reaction mechanisms of varying complexity are used to model the combustion chemistry. The choice of turbulence-chemistry interaction model is shown to affect the results significantly. The impact of the choice of chemical reaction mechanism and the difference in operating conditions are gauged in terms of time-averaged flow, spray, and combustion characteristics as well as unsteady behavior. Good agreement between LES predictions and experimental results are generally observed but with a notable dependence on the choice of chemical reaction mechanism. The mechanism specifically targeting Jet A displays the best agreement. The choice of reaction mechanism is further demonstrated to influence the flow and thermoacoustics in the combustor, resulting in different thermoacoustic modes dominating. The spray cone is found to be too narrow and thin, an inaccuracy which could be remedied by either making the injection method more empirical or by introducing additional models.

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Model identification in reactor-based combustion closures using sparse symbolic regression

Freitas

Péquin

Galassi

et al. 2023

Combustion and Flame

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Numerical and Analytical Assessment of Finite Rate Chemistry Models for LES of Turbulent Premixed Flames

Cited by 7 publications

References 58 publications

A priori test of perfectly stirred reactor approach to evaluating mean fuel consumption and heat release rates in highly turbulent premixed flames

A priori test of perfectly stirred reactor approach to evaluating mean fuel consumption and heat release rates in highly turbulent premixed flames

LES Modeling of the DLR Generic Single-Cup Spray Combustor: Validation and the Impact of Combustion Chemistry

Model identification in reactor-based combustion closures using sparse symbolic regression

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