Matthias Ihme

TL;DR: In this article, a model for the prediction of the nitric oxide (NO) formation in turbulent non-premixed flames is proposed, which is applied to a large-eddy simulation (LES) of Sandia flame D, and the importance of the interaction between turbulence and radiation on temperature and mixture fraction is investigated.

TL;DR: In this paper, three different models for the conditional PDF of the flamelet parameter are tested in an a priori sense, and it is shown that if the PDF of λ is modeled by a beta distribution conditioned on Z, then FPVA can predict extinction and re-ignition effects, and good agreement between the model and DNS data for the mean temperature is observed.

TL;DR: In this article, an extension of the flamelet/progress variable (FPV) model for the prediction of extinction and reignition is applied in large-eddy simulation (LES) of flames D and E of the Sandia piloted turbulent jet flame series.

TL;DR: In this paper, an unsteady flamelet/progress variable (UFPV) model was developed for the prediction of autoignition in turbulent lifted flames, which is a consistent extension to the steady flamelet and progress variable (SFPV), and employs an unstaky flamelet formulation to describe the transient evolution of all thermochemical quantities during flame ignition process.

TL;DR: In this paper, a statistically most likely distribution (SMLD) was employed for a reactive scalar distribution in turbulent flames with strong extinction and reignition, and the potential of the SMLD for the representation of conserved scalar distributions is also analyzed.