A study on process modeling and optimization for batch crystallization

Batch crystallization is widely used in fine chemicals, pharmacy and biological processes. For meeting the demands of product quality control and process optimization in batch crystallization process, mathematical models of processes include phenomena such as population balance, crystal growth, the energy balance as well as the crystallization kinetics of agglomeration and/or breakage description are proposed. From a numerical point of view, the population balance models are a set of integro-differential equations. Key points of modeling and numerical methods are given in detailed discussion. Finally, the parameters values for the seeded batch cooling crystallization process are presented. Those model parameters are the basis of crystallization product quality control and process optimization. Additionally, a computer aided process system is established for crystallization process data acquisition and data analysis.