Numerical study of turbulence on drag coefficient determination for particle agglomerates

Numerical simulations of the flow surrounding particle agglomerates were carried out using computational fluid dynamics to assess ability five RANS turbulence models estimate drag coefficient in agglomerates. Simulations steady conditions for Reynolds numbers between 1 and 1500. Streamlines showed that symmetrical present a velocity profile similar single sphere profile. Results both Spalart-Allmaras SST k-? can represent not only regions near far from walls but also wake region rear The RNG model poor quality predict coefficient. obtained by presented trend better represented Tran-Cong model, showing deviations predictions decreased as packing density agglomerate increased. use be feasible efficient method predict, with low cost, For transition turbulent flows, results good agreement, -15% 13%, while lower numbers, varied -25% 5%.