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Related Experiment Video

Updated: Jun 11, 2025

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Demonstrating scalability between two blender types using DEM.

Peter Boehling1, Johan Remmelgas1, Mohammadsadegh Salehi1

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

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|September 29, 2024
PubMed
Summary
This summary is machine-generated.

Discrete Element Method (DEM) simulations optimized pharmaceutical powder blending and lubricant dispersion. This approach accurately predicted tablet tensile strength, enhancing manufacturing efficiency and product consistency.

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Area of Science:

  • Pharmaceutical Manufacturing
  • Powder Technology
  • Computational Fluid Dynamics

Background:

  • Powder blending is crucial for pharmaceutical product quality, affecting tablet properties like tensile strength.
  • Optimizing blending processes is essential for consistent drug manufacturing.
  • Understanding particle behavior during blending is key to process control.

Purpose of the Study:

  • To investigate powder blending and lubricant dispersion using Discrete Element Method (DEM) simulations.
  • To develop a predictive model for tablet tensile strength based on blending parameters.
  • To explore the scalability of blending processes between different blender designs.

Main Methods:

  • Utilized Discrete Element Method (DEM) simulations for blending analysis in 5-liter mini-batch and 2-liter Turbula blenders.
  • Calibrated DEM parameters using small-scale powder characterization tests.
  • Developed a predictive model for tablet tensile strength incorporating lubrication energy.

Main Results:

  • DEM simulations accurately reflected particle behavior and enabled scaling between blender sizes.
  • The predictive model successfully correlated blending parameters (speed, duration, fill level) with tablet tensile strength.
  • Identified optimal process conditions for improved lubricant dispersion and blending uniformity.

Conclusions:

  • DEM is a powerful tool for understanding and optimizing pharmaceutical powder blending.
  • The developed model provides a method for predicting tablet tensile strength, aiding process design.
  • Findings support the development of semi-continuous manufacturing processes for enhanced efficiency and consistency.