A Machine Learning-assisted Hybrid Model to Predict Ribbon Solid Fraction, Granule Size Distribution and Throughput in a Dry Granulation Process

Author:

Huang Yan-Shu,Sixon David,Bailey Phoebe,Lagare Rexonni B.,Gonzalez Marcial,Nagy Zoltan K.,Reklaitis Gintaras V.

Funder

National Science Foundation

Publisher

Elsevier

Reference6 articles.

1. Studies on the reduction of tensile strength of tablets after roll compaction/dry granulation;Herting;European Journal of Pharmaceutics and Biopharmaceutics,2008

2. Real-Time Monitoring of Powder Mass Flowrates for Plant-Wide Control of a Continuous Direct Compaction Tablet Manufacturing Process;Huang;Journal of Pharmaceutical Sciences,2022

3. A Rolling Theory for Granular Solids Theory and Method of Calculation;Johanson,1965

4. Elastic recovery in roll compaction simulation;Keizer;International Journal of Pharmaceutics,2020

5. Developing a Virtual Flowability Sensor for Monitoring a Pharmaceutical Dry Granulation Line;Lagare;Journal of Pharmaceutical Sciences.,2023

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