Multi-dimensional population balance model development and validation for a twin screw granulation process
作者： Dana Barrasso , Arwa El Hagrasy , James D. Litster , Rohit Ramachandran
DOI: 10.1016/J.POWTEC.2014.06.035
关键词:
摘要: In this study, a novel multi-component population balance model (PBM) for the twin-screw granulation (TSG) process was developed, taking into account rate processes of aggregation, breakage, liquid addition, and consolidation. Interactions between multiple solid components (e.g. active pharmaceutical ingredient excipient) amount were accounted in quantifying aggregation breakage rates. Experimental data obtained TSG process, whereby effect initial particle size distribution liquid-to-solid ratios on key granule properties studied. The used to estimate adjustable parameters proposed mechanistic kernels validate calibrated as predictive tool. simulation results showed good agreement with experimental data.
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