Sensitivity analysis of multi-regime population balance model for control of multiple particulate properties in granulation

A systematic study of a multi-dimensional model or particle dynamics in a granulation process is detailed. The model accounts for three controlled variables: distributions in particle size, moisture composition, and porosity. Controllability insights are obtained from sensitivity studies involving the properties of the manipulated input: binder addition. Discontinuities in a multi-regime kernel in the model lead to bimodal particle attribute distributions.