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A mathematical framework for predicting tablet weight variability from blend particle size distribution and tooling geometry
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DOI：10.1016/j.xphs.2026.104369.png)
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Abstract
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• First-principles mathematical model predicts tablet weight variability from particle size distribution (PSD) and tooling geometry. • Single-parameter calibration accurately captures weight variability across a wide design space spanning PSD, tooling dimensions and tablet weight. • Framework enables prediction and control of tablet weight variability using physical properties of blends and tooling dimensions, instead of empirical heuristics.
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