Modelling of crystallization process and optimization of the cooling strategy |
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Authors: | Do Yeon Kim Michaella Paul Jens-Uwe Rapke Günter Wozny Dae Ryook Yang |
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Affiliation: | 1.Department of Chemical and Biological Engineering,Korea University,Seoul,Korea;2.Department of Process Dynamics and Operation,Technical University Berlin,Berlin,Germany |
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Abstract: | To obtain a uniform and large crystal in seeded batch cooling crystallization, the cooling strategy is very important. In
this study, an optimal cooling strategy is obtained through simulation and compared to linear and natural cooling strategies.
A model for a crystallization process in a batch reactor is constructed by using population balance equation and material
balance for solution concentration, and a prediction model for meta-stable limit is formulated by the dynamic meta-stable
limit approach. Based on this model, an optimal cooling strategy is obtained using genetic algorithm with the objective function
of minimizing the unwanted nucleation and maximizing the crystal growth rate. From the simulation results, the product from
the optimal cooling strategy showed uniform and large crystal size distribution while products from the other two strategies
contained significant amount of fine particles. |
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