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Related Experiment Video

Updated: Jun 27, 2026

Experimental Protocol to Investigate Particle Aerosolization of a Product Under Abrasion and Under Environmental Weathering

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Published on: September 16, 2016

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

Peter Böhling¹, Johan Remmelgas¹, Daniel To²

¹Research Center Pharmaceutical Engineering GmbH, Graz, Austria.

International Journal of Pharmaceutics

|May 30, 2025

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 process Design space Simulation Tablet coating

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Last Updated: Jun 27, 2026

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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.