| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 720568 | IFAC Proceedings Volumes | 2007 | 6 Pages |
Abstract
In this paper, a model-based optimal strategy is presented for the control of particle size in antisolvent crystallization. Size is controlled on demand by dynamic optimization using a population balance based model. Knowledge of the ternary solute- solvent-antisolvent equilibrium and crystallization kinetics is crucial in this strategy and are both experimentally identified and incorporated in the model. The optimization is capable of determining the optimal antisolvent feed profile that achieves a desired particle size. Experimental validation of the strategy is carried out and presented herein. Such a strategy stands as a key solution to antisolvent operations ubiquitous in the pharmaceutical and fine chemicals industries.
Related Topics
Physical Sciences and Engineering
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