The input parameters, empirical, and semi-empirical models significantly
influence the responses obtained by CFD-DEM simulations. In this work, the
effect of three turbulence models, three conditions of the particle
rotation, and five drag models on the fluid dynamic behavior of a conical
spout bed applied to the drying of sorghum grains were evaluated.
Experimental data on the solids pressure drop, height, and shape of the
fountain were used to validate the simulations. Results showed the
importance of including the particle rotation in the model to approximate
the results simulated with the experimental behavior. Compared with
experimental data, considering the particle rotation by Dennis et al. model,
the deviation was of the 2% for the fountain height and 9.18% for the
pressure drop. While for the model without the particle rotation, the
deviations were 106.33% and 42.31% for the fountain height and pressure
drop, respectively. For the analyzed case, the standard k-? turbulence model
showed a greater agreement with the experimental data. For the drag models
evaluated, the best fit with the experimental data was obtained by the
Koch-Hill drag model, followed by the Gidaspow model, with deviations less
than 10%.