The distribution of solids in multicomponent fluidized beds strongly influences process performance, as undesired inhormogeneities usually result from a balance between the mixing and segregation tendencies. In the present work, a coupled DEM-CFD computational code is utilized to investigate on the equilibrium degree of mixing of two-component beds of particles with equal size and different density as function of the operating velocity and density ratio. Model validation is carried out first, by means of a direct comparison of simulated and experimental results Oil the mixing index and concentration profiles along the bed height, for a mixture of steel shots and glass ballotini of 433 mu m average diameter. Since pseudo-2D geometry is used in simulations, the average voidage and the minimum fluidization conditions are very different from those of the experiments. Therefore, appropriate scaling of the velocity is necessary to compare the two systems. The DEM-CFD model is then utilized extensively to analyze the behaviour of the mixture at different velocities and varying component density ratio. A comprehensive data set is obtained for a dense-over-light density ratio ranging from 1 to 3 and a velocity ratio (actual over minimum fluidization velocity. of the denser component) in the range 1 to 2. These results are re-examined within a unique framework by proposing a new model capable to interpret data while being mathematically and physically consistent with real observations. Inversion of this model provides a mixing map for the fluidized system whose behaviour is characterized for any combination of the two properties in the, ranges investigated. (C) 2007 Elsevier B.V. All rights reserved.