Development of a Digital Twin for the Prediction and Control of Supersaturation during Batch Cooling Crystallization.

ABSTRACT: Fine chemicals produced via batch crystallization with properties dependent on the crystal size distribution require precise control of supersaturation, which drives the evolution of crystal size over time. Model predictive control (MPC) of supersaturation using a mechanistic model to represent the behavior of a crystallization process requires less experimental time and resources compared with fully empirical model-based control methods. Experimental characterization of the hexamine-ethanol crystallization system was performed in order to collect the parameters required to build a one-dimensional (1D) population balance model (PBM) in gPROMS FormulatedProducts software (Siemens-PSE Ltd.). Analysis of the metastable zone width (MSZW) and a series of seeded batch cooling crystallizations in

SUBMITTER: Leeming R 

PROVIDER: S-EPMC10360059 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature