Fundamentals of Premixed Turbulent Combustion

Lipatnikov, Andrei

doi:10.1201/b12973

Cited by 98 publications

(157 citation statements)

References 2 publications

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“…Figure 3 is consistent with contemporary knowledge on the structure of reaction zones in highly turbulent premixed flames. First, as reviewed elsewhere [3,43], recent experimental and DNS data indicate that reaction zones remain thin and retain their laminar structure even in intense turbulence associated with high Ka. Images reported in top and bottom rows in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…6(a), is well known after the seminal work by Corrsin [51]. For instance, such an effect results straightforwardly from transport equations for velocities conditioned to reactants or products [3,52]. Moreover, a theory that yields such an effect was recently developed [53].…”

Section: Mean Wave Thickness and Turbulent Diffusivitymentioning

confidence: 99%

“…Finally, the obtained solution c(x ,y,z,t n ) is translated back to the x coordinate. 3 Computations of fully developed statistics with sampling every 100 t were started after the forced turbulence reached statistical stationarity at t = t * = 6000 t > 3.5τ 0 t . Here, τ 0 t = 0 /U is the initial turbulence eddy turn over time.…”

Section: -5mentioning

confidence: 99%

“…The problem is particularly severe in the case of premixed burning, because (i) the rates of reactions that control heat release depend on T in a highly nonlinear manner, (ii) the magnitudes of the temperature fluctuations are typically large, and (iii) these fluctuations exhibit a wide range of length and time scales [1][2][3]. Accordingly, even most advanced models of a highly nonlinear multiscale problem such as the influence of turbulence on premixed combustion invoke a number of simplifications, i.e., highlight certain local effects but ignore many others.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

Section: Mean Wave Thickness and Turbulent Diffusivitymentioning

confidence: 99%

Section: -5mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Lipatnikov

2017

Phys. Rev. E

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“…The aim of using PDF method is to track the mixture fraction and modeling the chemistry in the system. For the components of the premixed combustion, which were solved at the time of execution of the simulation, the Zimont model of the turbulent flame speed includes the speed of laminar flame (which determines the chemistry of the system) and the evolution of the flame front due to turbulence [29], [30]. We adapt the assumption that turbulence scale in the flame is smaller than the thickness of flame, a number of Karlovitz Ka> 1(If Ka << 1 the chemical reactions occur much faster than all turbulent scales).…”

Section: Combustion Modelmentioning

confidence: 99%

Composition and Stoichiometry Effects of Biogas as Fuel in Spark Ignition Engine

Mokrane¹,

Energy²,

Adouane³

et al. 2018

INT. J. AUTOMOT. MECH. ENG.

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The most important advantage of biogas is that one can retrofit easily the conventional combustion engines to be used for the new fuel but remain the problem of pollutant emission. In this paper, the effect of the biogas composition on the emissions of CO and NOx in an SI engine is investigated numerically. Three compositions were studied (CH4:40 %, CO2:60 %), (CH4:50 %, CO2:50 %), (CH4:60 %, CO2:40 %), at equivalence ratio (ϕ) from lean to rich. The non-adiabatic partially premixed combustion model with probability density function (PDF) method and Zimont model of the turbulent flame speed are used. It was found that increasing CO2 in the biogas lowers NOx emissions significantly, whereas, CO was found to be very low, and appears only at high CH4 concentration. A biogas with (CH4:60 %, CO2:40 %), burning at about (ϕ = 0.9), i.e. slightly lean mixture, and advanced spark timing (between 10 to 20°.) seems to be a very a realistic combination in terms of biogas composition, stoichiometry and spark timing. It is recommended that, to accomplish some upgrading, in case of biogases with low CH4 percentage, to get it up to 60 %.

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Regimes of Premixed Flames

Liberman

2021

Combustion Physics

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Fundamentals of Premixed Turbulent Combustion

Cited by 98 publications

References 2 publications

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

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

Composition and Stoichiometry Effects of Biogas as Fuel in Spark Ignition Engine

Regimes of Premixed Flames

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