Document Type
Conference Proceeding
Publication Date
1-1-2009
Abstract
The use of predictive solubility models can be of great use for crystallization modeling, and can decrease the amount of experimental data needed to create a robust crystallization model. In this paper, predictive solubility models such as MOSCED, UNIFAC, NRTL-SAC, and the Jouyban-Acree model are compared against an empirical model for predicted solubility accuracy. The best models are subsequently compared against the empirical model for the antisolvent crystallization of acetaminophen in acetone using water. Two different optimization objective functions are executed for each solubility model to generate corresponding optimal profiles. The effect of these optimal profiles on the predicted crystal properties is evaluated.
Publication Source (Journal or Book title)
IFAC Proceedings Volumes (IFAC-PapersOnline)
First Page
207
Last Page
212
Recommended Citation
Widenski, D., Abbas, A., & Romagnoli, J. (2009). Evaluation of the effect of the solubility model on antisolvent crystallization optimization. IFAC Proceedings Volumes (IFAC-PapersOnline), 7 (PART 1), 207-212. https://doi.org/10.3182/20090712-4-tr-2008.00031