A compartmental CFD-PBM model of high shear wet granulation
| Autor: | Gavin K. Reynolds, Xi Yu, Per Abrahamsson, Anders Rasmuson, Ingela Niklasson Björn, Michael J. Hounslow |
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| Rok vydání: | 2016 |
| Předmět: |
Coalescence (physics)
education.field_of_study Environmental Engineering business.industry Chemistry High Shear Granulation General Chemical Engineering Monte Carlo method Population Process design 02 engineering and technology Mechanics Computational fluid dynamics 021001 nanoscience & nanotechnology Granulation 020401 chemical engineering 0204 chemical engineering Spatial dependence 0210 nano-technology business education Simulation Biotechnology |
| Zdroj: | AIChE Journal. 63:438-458 |
| ISSN: | 0001-1541 1547-5905 |
| Popis: | The conventional, geometrically lumped description of the physical processes inside a high shear granulator is not reliable for process design and scale-up. In this study, a compartmental Population Balance Model (PBM) with spatial dependence is developed and validated in two lab-scale high shear granulation processes using a 1.9L MiPro granulator and 4L DIOSNA granulator. The compartmental structure is built using a heuristic approach based on computational fluid dynamics (CFD) analysis, which includes the overall flow pattern, velocity and solids concentration. The constant volume Monte Carlo approach is implemented to solve the multi-compartment population balance equations. Different spatial dependent mechanisms are included in the compartmental PBM to describe granule growth. It is concluded that for both cases (low and high liquid content), the adjustment of parameters (e.g. layering, coalescence and breakage rate) can provide a quantitative prediction of the granulation process. |
| Databáze: | OpenAIRE |
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