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Life Science Special Report December 2015

The Life Sciences Sector is experiencing an unprecedented change...

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LIFE SCIENCES TABLETING AND COATING<br />

flows with more than one million particles<br />

in a reasonable time, making it practical for<br />

analyzing real-world tablet manufacturing<br />

processes such as filling, compressing/<br />

compacting, coating and drying.<br />

Figure 1 shows the results obtained<br />

from a STAR-CCM+ simulation of<br />

pre-compression in a tablet press to<br />

determine how to overcome common<br />

tablet defects such as capping (splitting<br />

of the tablet’s upper cap) that often<br />

occur as a result of entrapment of air<br />

and migration of fine particles during the<br />

compression process. DEM is used to<br />

track the interaction of the particles with<br />

each other and with the die as they are rearranged<br />

and move into the empty spaces<br />

during pre-compression. This simulation<br />

offers a detailed look at the uniformity<br />

of the granule distribution and can help<br />

determine the optimal pre-compression<br />

force and dwell time required to ensure<br />

that fine particles will be locked in place<br />

before compression starts, greatly<br />

reducing the risk of incurring common<br />

tablet defects during production.<br />

DEM simulations with particle-fluid<br />

interactions also provide realistic<br />

solutions to assess the uniformity<br />

of film coating thickness, a critical<br />

parameter for tablet quality. Figure 2<br />

depicts a simulation performed with<br />

STAR-CCM+ for the coating process<br />

in a fluidized bed where DEM is used<br />

to analyze the random movement of<br />

particles as their trajectories change<br />

while layers of coating are applied.<br />

Parameters such as particle velocities,<br />

residence time and coating thickness<br />

are monitored during the simulation.<br />

These can be fed as objective functions<br />

into Optimate, a module in STAR-<br />

CCM+ that enables intelligent design,<br />

to help identify the important factors<br />

for equipment design (e.g. nozzle<br />

spacing) and to determine optimal<br />

equipment operating conditions.<br />

STAR-CCM+ also has a novel Lagrangian<br />

DEM simulations with<br />

particle-fluid interactions<br />

provide realistic solutions<br />

to assess the uniformity<br />

of film coating thickness,<br />

a critical parameter for<br />

tablet quality.<br />

FIGURE 2: STAR-CCM+ simulation of the coating process performed in a fluidized bed<br />

24 SPECIAL REPORT

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