Testing of mixing models for Monte Carlo probability density function simulations

Testing of mixing models widely used for Monte Carlo probability density function simulations of turbulent diffusion flames is performed using the data obtained from direct numerical simulations (DNS) that are specifically designed for the study of local flame extinction and reignition. In particular, the interaction by exchange with the mean (IEM) [J. Villermaux and J. C. Devillon, “Representation de la coalescence et de la redispersion des domaines de segregation dans un fluide per modele d’interaction phenomenologique,” in Proceedings of the Second International Symposia on Chemical Reaction Engineering (ISCRE, Netherlands, 1972), p. B1], the modified Curl [J. Janicka, W. Kolbe, and W. Kollmann, J. Non-Equilib. Thermodyn. 4, 47 (1979)], and the Euclidean minimum spanning tree (EMST) [S. Subramaniam and S. B. Pope, Combust. Flame 115, 487 (1998)] mixing models are tested. The tests are designed to examine the mixing model performance when implemented in both Reynolds-averaged simulations and large-eddy ...

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