A morphological population balance (PB) model is presented which links single crystal morphology description with PB process model, therefore can be applied to simulate the dynamic evolution of crystal shape as well as size distributions in crystallisation processes. In addition, the new morphological PB model can effectively deal with multiple crystal morphological forms and transitions between them. The model is then used to derive optimal temperature and supersaturation profiles leading to the desired crystal morphology. Since tracking an optimum temperature or supersaturation trajectory can be easily implemented by manipulating the cooling water flowrate in the reactor jacket, the proposed methodology provides a feasible closed-loop mechanism for crystal shape control. The methodology is demonstrated by applying it to a case study of cooling crystallisation of potash alum.
|Title of host publication
|19th European Symposium on Computer Aided Process Engineering
|J Jezowski, T Thullie
|Published - 2009