posted on 2019-03-04, 00:00authored byYang Li, Simon O’Shea, Qiuxiang Yin, Thomas Vetter
The polymorph selection
in a continuous crystallization process
combined with wet milling is investigated. To this end, a dimensionless
population balance equation model accounting for secondary nucleation,
crystal growth, and breakage is formulated and solved numerically.
We show that a surprisingly small number of dimensionless parameter
groups (combinations of kinetic parameters and operating conditions)
is decisive in controlling the polymorphic outcome. Specifically,
we show how the operating region where the stable polymorph is obtained
can be enlarged by tuning the milling intensity, feed concentration,
and residence time. We further rationalize the dependence of the mean
size of the particles obtained, the fraction of solute recovered,
and the productivity of such a process on the dimensionless variables.
We showcase this for the model system l-glutamic acid crystallized
from water and show that our analysis is in agreement with previously
reported experimental studies. Summarizing, the analysis approach
introduced here can be used to identify operating spaces for single-stage
continuous crystallization processes where the right polymorph is
reliably obtained and where size, solute recovery, and productivity
are guaranteed to desired levels.