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Exploring a coating design spacing using experimental and simulated coating techniques.

Peter Böhling1, Johan Remmelgas1, Daniel To2

  • 1Research Center Pharmaceutical Engineering GmbH, Graz, Austria.

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|May 30, 2025
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Summary
This summary is machine-generated.

Computational fluid dynamics-discrete element method (CFD-DEM) simulations accurately modeled tablet coating processes. This digital approach optimizes coating uniformity and drying efficiency by analyzing airflow effects on tablet movement and mass distribution.

Keywords:
Coating processDesign spaceSimulationTablet coating

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Area of Science:

  • Chemical Engineering
  • Pharmaceutical Sciences
  • Computational Modeling

Background:

  • Tablet coating is crucial for drug delivery and stability.
  • Optimizing coating processes requires understanding complex multiphase interactions.
  • Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) offers a powerful simulation tool.

Purpose of the Study:

  • To enhance understanding of a laboratory-scale tablet coating process.
  • To model momentum, heat, and mass transfer using CFD-DEM simulations.
  • To validate simulation results against experimental data.

Main Methods:

  • Selected eight process points from an experimental design space.
  • Performed in silico simulations using CFD-DEM.
  • Analyzed tablet movement, coating mass distribution, temperatures, and solvent evaporation.

Main Results:

  • Drying airflow rate significantly impacted tablet movement and coating uniformity.
  • Simulations showed linear decay of variation coefficient, matching experimental findings.
  • Predicted temperatures closely matched experimental values, with minor over-predictions at higher temperatures.

Conclusions:

  • CFD-DEM simulations effectively replicate tablet coating experiments digitally.
  • The models provide insights into optimizing coating processes through digital exploration.
  • Digital simulation facilitates improved understanding of airflow dynamics and drying parameters.