Journal
COMPUTERS & CHEMICAL ENGINEERING
Volume 123, Issue -, Pages 246-256Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2019.01.009
Keywords
Two-phase model; Population balance models; Pharmaceutical manufacturing; Computational fluid dynamics; Pharmaceutical crystallization
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This article proposes a two-phase Eulerian-Eulerian model coupled with granular kinetic theory, semidiscrete population balance equations, energy balance, and scalar transport equations for the simulation of the full crystal size distribution and the effects of particle settling in continuous-flow crystallizers. The model capabilities are demonstrated by application of an OpenFOAM (R) implementation to the combined cooling/antisolvent crystallization of Lovastatin in a coaxial mixer. The simulations show that (1) the spatial fields for the antisolvent mass fraction and crystal nucleation and growth rates can be highly asymmetric for small continuous-flow crystallizers, (2) continuous-flow crystallizers of small dimension can generate bimodal crystal size distributions, and (3) a relatively small change in the inlet feed velocity can change the crystal size distribution from being unimodal to bimodal. These results demonstrate the potential of the proposed model for gaining insights into continuous-flow crystallization that can be useful for the design of equipment or operations. (C) 2019 Elsevier Ltd. All rights reserved.
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