Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics

Aspden, A. J.; Day, Marc; Bell, John B.

doi:10.1016/j.combustflame.2016.01.027

Cited by 100 publications

(76 citation statements)

References 26 publications

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“…For the thermodiffusively-unstable lowLewis-number hydrogen flames, turbulence wrinkles the flame producing regions of both positive and negative curvature; positive curvature leads to a local increase in flame speed and the formation of a dominant leading edge, which is compounded by an increase in flame surface area, giving turbulent flame speeds an order of magnitude faster than the steady unstrained flame [1,13]. For the thermodiffusivelyneutral unity-Lewis-number methane flames, there is only a slight variation of local flame speed with curvature, so the enhanced flame speed results predominantly from an increase in flame surface area due to turbulence [3]. For the high-Lewis-number dodecane flames, the response to turbulence is quite different; turbulence again produces both positively and negatively curved regions.…”

Section: Resultsmentioning

confidence: 99%

“…An inert calculation was run to establish the turbulence, and the reacting flow simulation was initialised by superimposing a steady unstrained flame profile onto the turbulent velocity field. Four Karlovitz numbers were chosen to match previously-reported simulations of hydrogen [13] and methane [3], which were run at Λ = 4 rather than Λ = 1; specifically, the four cases are Ka = 1, 4, 12 and 36. Note that matching simulations in hydrogen and methane at Λ = 1 have also been run for comparison.…”

Section: Computational Methodologymentioning

confidence: 99%

“…This paper presents simulations of lean premixed dodecane flames with detailed kinetics and transport at high Karlovitz number, targetting matching conditions to our previous work [3,13], and similar in spirit to the heptane simulations discussed above, but at moderate turbulence levels. Turbulent conditions are characterised in terms of the one-dimensional unstrained steady flame properties using the Karlovitz and Damköhler numbers, which are defined by…”

Section: Introductionmentioning

confidence: 94%

“…Aspden et al [1][2][3] have considered hydrogen, methane and propane flames with detailed kinetics in moderate-to-intense turbulence. Carlsson et al [4,5] and Tanahashi et al [6][7][8] have also considered turbulent premixed hydrogen and methane flames with detailed chemistry.…”

Section: Introductionmentioning

confidence: 99%

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Turbulence–flame interactions in lean premixed dodecane flames

Aspden

Bell

Day

et al. 2017

Proceedings of the Combustion Institute

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Turbulent lean premixed dodecane/air flames are simulated in a doubly-periodic domain using detailed kinetics and transport over a range of Karlovitz number. We observe extensive thickening of thermal profiles through the flames that increases with turbulent intensity. The high Lewis number of the flames acts to suppress wrinkling of the flame resulting in considerably lower turbulent flame speeds than is observed for lower molecular weight fuels. The impact of high Lewis number is also reflected in a negative correlation of local consumption-based flame speed with curvature. Characteristic of heavy hydrocarbons, pyrolysis of the fuel into smaller fuel fragments is separated in temperature from the primary consumpution of oxygen, which peaks at a higher temperature where the fuel fragments are consumed. The resulting intermediate species are partially entrained within the cool region ahead of the flame, but the overall pyrolysis-oxidation sequence appears essentially unaffected by turbulent mixing; however, the peak rates of these reactions are dramatically reduced.

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Section: Resultsmentioning

confidence: 99%

Section: Computational Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Turbulence–flame interactions in lean premixed dodecane flames

Aspden

Bell

Day

et al. 2017

Proceedings of the Combustion Institute

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“…Progress made in this area over the past years was very impressive. In particular, the leading research groups succeeded already in 3D DNSs of highly turbulent premixed flames by allowing for density variations and complex combustion chemistry [4][5][6][7][8][9][10]. Moreover, DNS of laboratory flames were also performed [11,12].…”

Section: Introductionmentioning

confidence: 99%

Direct numerical simulation study of statistically stationary propagation of a reaction wave in homogeneous turbulence

Lipatnikov

2017

Phys. Rev. E

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A three-dimensional (3D) direct numerical simulation (DNS) study of the propagation of a reaction wave in forced, constant-density, statistically stationary, homogeneous, isotropic turbulence is performed by solving Navier-Stokes and reaction-diffusion equations at various (from 0.5 to 10) ratios of the rms turbulent velocity U to the laminar wave speed, various (from 2.1 to 12.5) ratios of an integral length scale of the turbulence to the laminar wave thickness, and two Zeldovich numbers Ze = 6.0 and 17.1. Accordingly, the Damköhler and Karlovitz numbers are varied from 0.2 to 25.1 and from 0.4 to 36.2, respectively. Contrary to an earlier DNS study of self-propagation of an infinitely thin front in statistically the same turbulence, the bending of dependencies of the mean wave speed on U is simulated in the case of a nonzero thickness of the local reaction wave. The bending effect is argued to be controlled by inefficiency of the smallest scale turbulent eddies in wrinkling the reaction-zone surface, because such small-scale wrinkles are rapidly smoothed out by molecular transport within the local reaction wave.

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Machine-Learning for Stress Tensor Modelling in Large Eddy Simulation

Nikolaou

Minamoto

Chrysostomou

2023

Lecture Notes in Energy

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The accurate modelling of the unresolved stress tensor is particularly important for Large Eddy Simulations (LES) of turbulent flows. This term affects the transfer of energy from the largest to the smallest scales and vice versa, thus controlling the evolution of the flow field-in reacting flows, the flow field transports scalar fields such as mass fractions and temperature both of which control the species production and destruction rates. A large number of models have been developed in past years for the stress tensor in incompressible and non-reacting flows. A common characteristic of the majority of the classical models is that simplifying assumptions are typically involved in their derivation which limits their predictive ability. At the same time, various tunable parameters appear in the relevant closures whose value depends on the flow geometry/configuration/spatial location, and which require careful regularisation. Data-driven methods for the stress tensor is an emerging alternative modelling approach which may help to circumvent the above issues, and in recent studies several such models were developed and evaluated. This chapter discusses the modelling problem, presents some of the most popular algebraic models, and reviews some recent advances on data-driven methods.

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Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics

Cited by 100 publications

References 26 publications

Turbulence–flame interactions in lean premixed dodecane flames

Turbulence–flame interactions in lean premixed dodecane flames

Direct numerical simulation study of statistically stationary propagation of a reaction wave in homogeneous turbulence

Machine-Learning for Stress Tensor Modelling in Large Eddy Simulation

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