A comparison of stochastic separated flow models for particle dispersion in turbulent flows

grantor: University of TorontoThis thesis investigates Stochastic Separated Flow (SSF) models for particle dispersion in turbulent flows. A new model is presented that incorporates a temporal and a spatial autocorrelation in the description of the fluctuating component of the turbulent gas-phase velocity. This model and four SSF models available in the literature are evaluated analytically and by comparing predictions with the grid-generated turbulence experiments of Snyder and Lumley (1971), and Wells and Stock (1983). Results are discussed and deficiencies in the models explored. The new model of Hennick and Lightstone compensates for the crossing trajectory effect with the inclusion of a spatial correlation based on the relative velocity of the particle and the timestep employed. Promising results are obtained using this model.M.A.Sc