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Flowsheet modelling of a powder continuous feeder-mixer system.
Rute C Dias1, Ossi Korhonen2, Jarkko Ketolainen2
1PromisLab, School of Pharmacy, University of Eastern Finland, 70211 Kuopio, Finland; iMed.ULisboa, Faculty of Pharmacy, University of Lisbon, 1649-003 Lisbon, Portugal.
International Journal of Pharmaceutics
|April 21, 2023
Summary
This study calibrated a continuous feeder-mixer model, finding it accurately simulated powder dynamics and blend homogeneity. The model effectively predicted mixer performance and filtered feeding fluctuations, crucial for pharmaceutical manufacturing.
Area of Science:
- Pharmaceutical Engineering
- Process Systems Engineering
- Powder Technology
Background:
- Continuous manufacturing processes in pharmaceuticals require precise control over feeder-mixer systems.
- Accurate modeling of powder dynamics is essential for ensuring blend uniformity and process robustness.
Purpose of the Study:
- To develop and validate an integrated flowsheet model for a continuous feeder-mixer system.
- To assess the model's ability to predict system performance and powder behavior under various operating conditions.
Main Methods:
- Calibrated and simulated an integrated flowsheet model using experimental data for ibuprofen and microcrystalline cellulose (MCC).
- Evaluated feeder performance, including the impact of refills, and mixer efficiency using residence time distribution.
- Assessed blend homogeneity through ibuprofen relative standard deviation (RSD).
Main Results:
- The feeder-mixer model accurately reproduced powder dynamics and qualitatively predicted blend homogeneity (ibuprofen RSD < 5%).
- Simulations captured the mixer's filtering ability against feeding composition fluctuations.
- Refills did not significantly impact feeder performance under tested conditions.
Conclusions:
- The validated flowsheet model provides a reliable tool for simulating and optimizing continuous feeder-mixer operations.
- The model aids in understanding and predicting powder behavior, contributing to robust pharmaceutical manufacturing.
- The study demonstrates the model's capability in predicting blend uniformity and process stability.
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