Mechanistic modelling of industrial-scale roller compactor ‘Freund TF-MINI model’
Autor: | Mark Southern, Ahmad B. Albadarin, Javed Iqbal, David Egan, Gavin Walker, Saeed Shirazian, M. Sajjia |
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Rok vydání: | 2017 |
Předmět: |
Engineering
Calibration and validation business.industry General Chemical Engineering Industrial scale Compaction Predictive capability Mechanical engineering 02 engineering and technology 021001 nanoscience & nanotechnology 030226 pharmacology & pharmacy Computer Science Applications Process conditions 03 medical and health sciences 0302 clinical medicine Pharmaceutical manufacturing 0210 nano-technology Critical quality attributes business Design space |
Zdroj: | Computers & Chemical Engineering. 104:141-150 |
ISSN: | 0098-1354 |
DOI: | 10.1016/j.compchemeng.2017.04.018 |
Popis: | A pharmaceutical roller compaction process was modelled using the Johanson powder mechanics model, which may be employed to achieve desired process performance. Mathematical modelling of the compaction of microcrystalline cellulose (PH102) was used to determine optimal process conditions for an industrial scale roll compactor (Freund, Model TF-MINI). The critical process parameters investigated were screw speed and roll pressure, while the rolls were kept at constant speed and the roll gap as variable. The roll-compacted ribbon density was considered the quality attribute of interest, as it is directly linked to the granule properties, particle size distribution and tablet mechanical properties. Experimental process data were used for model calibration and validation. This was followed by utilisation of the predictive capability of the model to achieve desired process performance of the compactor. The model findings indicated that the developed mechanistic model for the roller compactor can provide a design space to correlate the process parameters and materials properties to the critical quality attributes of granules which would be useful for implementation of Quality-by-Design paradigm in pharmaceutical manufacturing. |
Databáze: | OpenAIRE |
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