A study of local flame structures in piloted jet diffusion flame using a probability density function method

Xiao, Kun; Schmidt, D.; Maas, Ulrich

doi:10.1016/s0082-0784(00)80207-6

Cited by 11 publications

(2 citation statements)

References 25 publications

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“…Xiao et al [258] have performed a similar study on the flame D of Barlow and Frank [227]. The joint PDF transport equation is modelled using the modified coalescence/ dispersion model and a Lagrangian isotropization of production model is used to represent the effect of pressure fluctuations and viscosity.…”

Section: Velocity-composition -Turbulence Frequency Pdfmentioning

confidence: 99%

Impact of detailed chemistry and transport models on turbulent combustion simulations

Hilbert

Tap

El-Rabii

et al. 2004

Progress in Energy and Combustion Science

142

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Section: Velocity-composition -Turbulence Frequency Pdfmentioning

confidence: 99%

Impact of detailed chemistry and transport models on turbulent combustion simulations

Hilbert

Tap

El-Rabii

et al. 2004

Progress in Energy and Combustion Science

142

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“…However, recently, it is found that different constant, e.g. R = 1.5 (Xu and Pope, 2000), 2.0 (Xiao et al, 2000) and 2.3 (Lindstedt et al, 2000), performs better in different groups. It seems that the choice of the value for R depends upon the respective modelling strategies.…”

Section: Joint Pdf Of Mixture Fraction and Turbulent Kinetic Energy T...mentioning

confidence: 99%

Steady flamelet modelling of a turbulent non-premixed flame considering scalar dissipation rate fluctuations

Wang¹,

Chen

2005

Fluid Dyn. Res.

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A piloted turbulent methane/air jet flame (Sandia Flame D) is calculated by the combination of a multiple-time scale (MTS) kturbulence model, the steady laminar flamlet model (SLFM), and the probability density function (PDF) transport equation approach. A joint PDF transport equation of mixture fraction and turbulent kinetic energy dissipation rate is computed by the node-based Monte Carlo particle method. The fluctuations of scalar dissipation rate at stoichiometric condition are deduced, in an ad hoc manner, from the distribution of turbulent kinetic energy dissipation rate based on their similar PDF distribution, viz. approximately lognormal. The SLFM is employed to decouple the interaction between turbulent fluctuations and chemistry through the instantaneous mixture fraction and the instantaneous stoichiometric scalar dissipation rate. The MTS kturbulence model produces better prediction of the centerline profiles of mean velocity and mixture fraction than the standard kmodel. Within the current modelling scope, the value of 1.5 for the ratio of mechanical to scalar timescales is better than the usual value of 2.0 since it gives better profiles of the root-means-square (rms) mixture fraction and mean CO, H 2 mass fractions. Compared to the presumed-PDF for scalar dissipation rate, the present ad hoc model improves the predictions of flame structure to some extent, especially the conditional means of CO and H 2 mass fractions in the fuel-rich region of the flame.

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An efficient PDF calculation of flame temperature and major species in turbulent non-premixed flames

Amani¹,

Nobari²

2010

Applied Mathematical Modelling

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A study of local flame structures in piloted jet diffusion flame using a probability density function method

Cited by 11 publications

References 25 publications

Impact of detailed chemistry and transport models on turbulent combustion simulations

Impact of detailed chemistry and transport models on turbulent combustion simulations

Steady flamelet modelling of a turbulent non-premixed flame considering scalar dissipation rate fluctuations

An efficient PDF calculation of flame temperature and major species in turbulent non-premixed flames

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