10.17863/CAM.10816
Pei, Chunlei
Elliott, James
0000-0002-4887-6250
Asymptotic limits on tablet coating variability based on cap-to-band thickness distributions: a discrete element model (DEM) study
Apollo - University of Cambridge Repository (staging)
2017
discrete element method
spray coating process
coating thickness distribution
cap-to-band ratio
Apollo - University of Cambridge Repository (staging)
Apollo - University of Cambridge Repository (staging)
2017-11-23
Article
0009-2509
1873-4405
10.17863/CAM.10704
The uniformity of the coating thickness distribution is an important quality metric in the manufacture of pharmaceutical tablets during the spray coating process. An investigation of the asymptotic limits of coating thickness variability of tablets of varying shape was carried out based on the cap-to-band coating thickness distributions. A theoretical analysis shows that the cap-to-band coating thickness ratio is expected to be equal to the cap-to-band area ratio projected onto the spray direction divided by the actual cap-to-band surface area ratio. When the cap-to-band projected area ratio is larger (or smaller) than the cap-to-band surface area ratio, the mean coating thickness on the cap is larger (or smaller) than that on the band. To verify this, the dynamics of tablets in a rotating pan was modelled using discrete element method (DEM) simulations, while an image analysis technique based on the output of DEM simulations was applied to model the spray coating process and analyse the cap-to-band coating thickness ratio. A ray-tracing sampling method was further used to obtain the cap-to-band sample ratio. It was also found that a smaller spray angle with respect to the horizontal direction can decrease and even invert the cap-to-band coating thickness ratio, leading to a larger coating thickness on the band than the cap. Nevertheless, an asymptotic value of cap-to-band relative standard deviation can be reached once the cap-to-band coating thickness ratio becomes stable during the coating process. This asymptotic limit is within the range predicted based on the cap-to-band projected area ratio and surface area ratio.
UK EPSRC Research Grant EP/L019787/1 and EP/L019922/1