Abstract
The modelling of particle growth in fluidized bed coating processes is often done with population balance equations, which require a mathematical formulation of the process kinetics. In many cases the resulting equations need to be solved numerically. Therefore a discretization is needed, which may have influence on the solution. In this study, a stochastic way of modelling particle growth for coating processes, namely the Monte-Carlo method, is presented. This method does not require a formulation of the process kinetics and also no discretization of the property domain is needed. The fluidized bed coating process is described by a sequence of three micro-processes: droplet deposition, droplet drying and solidification. The results of the Monte-Carlo method and a population balance model are compared with each other to check theoretical validity of the derived model. Additionally, the results of the Monte-Carlo method are compared with experimental data gained from coating experiments in a lab-scale fluidized bed.
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