Process Modelling and Optimization of Batch Crysatllization

Batch crystallization is a critical process step in the pharmaceutical, chemical, and food industries where precise control of crystal size and purity is critical. This study focuses on process modelling and optimization of batch crystallization with the aim of improving yield, purity, by fine-tuning various operational parameters. Key parameters such as temperature, cooling rate, stirring rate, seeding strategy, and supersaturation level are systematically varied to assess their effects on crystal growth and nucleation. This study uses Aspen Plus software for simulation and sensitivity analysis to identify optimal conditions for each parameter. Optimization is used to determine optimal operating conditions that maximize product quality and process efficiency. Our results show that precise control of temperature and cooling rate has a significant impact on crystal purity and yield. The optimized process parameters derived from our model show significant performance improvements compared to Conventional methods.