Real-Time Cone-Growth Model for Determination of Pharmaceutical Powder Flow Properties.

Area of Science:

• Pharmaceutical Sciences
• Materials Science
• Chemical Engineering

Background:

• Particle flowability is critical for manufacturing solid dosage forms.
• Existing methods for assessing flowability have limitations.
• Advanced techniques often require integration with empirical principles.

Purpose of the Study:

• To refine flowability analysis techniques for pharmaceutical pellets and granules.
• To develop a novel dynamic model integrating empirical data and chaos theory.
• To identify key characteristics influencing particle flow behavior relevant to drug development.

Main Methods:

• Development of a dynamic, time-dependent model based on geometrical principles.
• Integration of empirical observations with chaos theory for flowability analysis.
• Experimental investigation of pellet and granule flow properties.

Main Results:

• Sphericity and particle size were identified as the most significant factors affecting flowability.
• The dynamic model provided new insights into particle flow characteristics.
• The combined approach offers a more comprehensive understanding of flow behavior.

Conclusions:

• The proposed dynamic model enhances the understanding of pharmaceutical particle flow.
• Sphericity and particle size are crucial parameters for optimizing drug manufacturing processes.
• Integrating chaos theory with empirical methods is effective for characterizing flowability.