Multiscale Modelling of Crystallization in Stirred Tank Reactors

Crystallization is used to produce solid form drugs in the pharmaceutical industry. It is important to understand how operating conditions affect the crystallization process because these conditions will impact product quality. The purpose of this project is to develop a computational model that can predict crystallization process performance over a wide range of conditions. The model will help Solid State Pharma Inc. to reduce the number of experiments necessary to optimize their crystallization processes. Additionally, the development of the model will lead to the generation of new knowledge about crystallization processes and numerical modelling approaches. This will advance the state of crystallization science/engineering in Canada, which will provide new opportunities for important technological innovations.

Intern: 
David McKinnon
Faculty Supervisor: 
Jan Haelssig
Province: 
Nova Scotia
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