A Conservative Macroscopic Model for Binary-mixture Fluidized Beds

Two approaches are commonly used for modeling the vertical mixing of binary-mixture fluidized beds, Computational Fluid Dynamics (CFD) and macroscopic modeling. A common realization latter one is Gibiralo–Rowe (G-R) model, which uses Two-Phase Theory. This model obviously overperforms CFDs regarding computational cost; however, determining its coefficients a still challenging issue. Although several methods were published solving this, general problem with most them remains their neglecting conservation mass. In present new procedure, mass applied to correct values G-R estimated from known equations. The was validated on wide variety bed systems. results show that this conservative gives more accurate predictions than recently other models, is, in general, better CFD perspective prediction accuracy as well.