Modeling of layering growth processes using a Monte Carlo approach

The modeling 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 required, which may have influence on the solution. In this study, a stochastic way of modeling particle growth, based on a Monte Carlo method, for coating and layering processes is presented. This method does not require a formulation of the process kinetics and also no discretization of the property domain is needed. The discussed layering process is described by a sequence of three micro-processes: droplet deposition, droplet drying and solidification. The model is validated theoretically with a reference population balance model and compared with experimental data of particle coating experiments.