David J. Glaze, Purdue University, Ph.D. Graduate Student, 500 Allison Rd., West Lafayette, IN 47907-2014, John C. Hewson, Sandia National Laboratories, Technical Staff, P.O. Box 5800, MS 1135, Albuquerque, NM 87185-1135, and Steven H. Frankel, Purdue University, Professor, 500 Allison Rd., West Lafayette, IN 47907-2014.
Progress towards implementation and application of the large eddy simulation (LES)/filtered mass density function (FMDF) approach for turbulent nonpremixed flame prediction is reported. Specifically, a Lagrangian Monte Carlo solution for the transported joint scalar FMDF is combined with a high-fidelity compressible Navier-Stokes equation based parallel LES code. One of the main obstacles of this approach is related to the inability of the mixing model to produce notional particle transport statistics that mimic the joint FMDF. In particular, the assumption of a constant mechanical-to-scalar time scale ration and the neglect of the effect of chemical reactions on the scalar time scale, and hence mixing frequency, currently precludes accurate prediction of flame extinction and reignition events. Preliminary results will be presented for a non-reacting fully turbulent jet obtained using the interaction by exchange with the mean (IEM) model. In addition, progress towards implementing different mixing models, multi-scalar mixing applications, and including reacting flow capabilities will be discussed.