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Modeling the Air Pressure Increase Within a Powder Bed During Compression-A Step Toward Understanding Tablet Defects
Gerard R Klinzing1, Gregory M Troup1
1Merck & Co. Inc., Kenilworth, New Jersey 07033.
Journal of Pharmaceutical Sciences
|January 15, 2019
Summary
Tablet compression speed significantly increases internal air pressure, leading to defects like cracking. Extended dwell times, however, reduce this pressure and eliminate cracking, a finding supported by new coupled models.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
- Mechanical Engineering
Background:
- Tablet defects such as cracking, bubbling, and capping are common issues in pharmaceutical manufacturing.
- Existing research suggests internal air pressure during powder compression contributes to tablet cracking.
Purpose of the Study:
- To investigate the relationship between compression parameters and internal air pressure during tablet formation.
- To couple air pressure and plasticity models to understand tablet defect formation.
- To provide a foundation for optimizing tableting processes to minimize defects.
Main Methods:
- Numerical simulation of air pressure increase in a 2D axisymmetric tablet geometry.
- Coupling of an air pressure model with a plasticity model for tablet relative density.
- Experimental validation using X-ray microcomputed tomography (micro-CT) scans at various dwell times.
Main Results:
- Increasing compression speed significantly raises internal air pressure (1-1.5 MPa), nearing the tablet's tensile strength.
- Dwell times typical of tablet presses do not reduce cracking.
- Extended dwell times (10-100s) diminish air pressure and eliminate cracking, consistent with model predictions.
Conclusions:
- The study successfully couples air pressure and plasticity models for the first time to analyze tablet compression.
- Compression speed is a critical factor in generating internal air pressure and causing tablet defects.
- Extended dwell times are crucial for mitigating air pressure-induced cracking, offering insights for process optimization.
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