A mathematical model for residence time distribution analysis in swirling fluidized bed

Knowledge of the complete history of the solid particles in the case of a fluidized bed processes is practically out of reach. In such cases the residence time distribution becomes a very important design tool since all particles that enter the system do not reside for the same period of time. Residence Time Theory deals with the estimation of the average time a particle remains in the system and is necessarily probabilistic in nature. The multi-parameter two-layer model was proposed in which it consist of six independent parameters and one dependent parameter. The effect of these parameters on the RTD function, E(θ) are studied and the model is shown to be highly versatile and capable of representing widely different mixing conditions.