%0 Online Multimedia
%A Ali, B. Ashraf
%A Börner, M.
%A Peglow, M.
%A Janiga, G.
%A Seidel-Morgenstern, A.
%A Thévenin, D.
%D 2015
%T Coupled Computational Fluid Dynamics–Discrete
Element Method Simulations of a Pilot-Scale Batch Crystallizer
%U https://acs.figshare.com/articles/media/Coupled_Computational_Fluid_Dynamics_Discrete_Element_Method_Simulations_of_a_Pilot_Scale_Batch_Crystallizer/2218531
%R 10.1021/cg501092k.s001
%2 https://acs.figshare.com/ndownloader/files/3854293
%K crystal dynamics
%K seed crystal size
%K DEM
%K DPM
%K crystallization process parameters
%K KH 2PO crystals
%K Different seeding procedures
%K CFD
%X Computational
fluid dynamics (CFD) coupled with the discrete element
method (DEM) has been used to investigate numerically crystal dynamics
in an existing pilot-scale batch crystallizer. The CFD-DEM combination
provides a detailed description of crystal dynamics considering a
four-way coupling. In a previous analysis, CFD had been coupled with a discrete phase model (DPM) using a simple
one-way coupling. The corresponding predictions are then compared
with those obtained through four-way coupling considering KH2PO4 crystals in water. From the CFD-DEM simulation, it
is possible to investigate quantitatively the driving force controlling
crystal growth and the interaction of crystals with reactor walls,
baffles, and impellers. This delivers essential data for process improvement.
Different seeding procedures were also compared. The seed crystals
have been injected either within the complete liquid volume or, as
in the experiments, through a funnel. By varying the most important
crystallization process parameters, we found optimal conditions for
a liquid phase volume in the crystallizer of 24 L, for injection through a funnel above the baffle, and for an initial
seed crystal size of 0.5 mm.
%I ACS Publications