Digital Design of the Crystallization of an Active Pharmaceutical Ingredient Using a Population Balance Model with a Novel Size Dependent Growth Rate Expression. From Development of a Digital Twin to In Silico Optimization and Experimental Validation

Author(s):  
Botond Szilágyi ◽  
Ayşe Eren ◽  
Justin L. Quon ◽  
Charles D. Papageorgiou ◽  
Zoltán K. Nagy
2013 ◽  
Vol 95 ◽  
pp. 360-365 ◽  
Author(s):  
Jianfeng Li ◽  
Ben J. Freireich ◽  
Carl R. Wassgren ◽  
James D. Litster

2009 ◽  
Vol 64 (4) ◽  
pp. 775-786 ◽  
Author(s):  
Jonathan M.-H. Poon ◽  
Rohit Ramachandran ◽  
Constantijn F.W. Sanders ◽  
Thomas Glaser ◽  
Charles D. Immanuel ◽  
...  

1987 ◽  
Vol 1 (4) ◽  
pp. 383-404 ◽  
Author(s):  
S. T. Chou ◽  
J. P. Hsu

The transient crystal size distribution (CSD) in a continuous mixed suspension, mixed product removal crystallizer has been modeled through a stochastic approach. Effects of the seed size distribution and size-dependent growth rate on both the transient and steady-state CSD have been investigated. It has been found that the seed size distribution causes a maximum in the steady-state CSD and the size-dependent growth rate results in an upward curvature at the lower end in a semilogarithmic plot of steady-state CSD against crystal size. Under appropriate conditions, the mean CSD of the present stochastic model reduces to the results predicted by the corresponding deterministic population balance model.


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