A high-dimensional, stochastic model for twin-screw granulation – Part 1: Model description
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Authors
McGuire, AD
Mosbach, S
Lee, KF
Reynolds, G
Kraft, M
Publication Date
2018Journal Title
Chemical Engineering Science
ISSN
0009-2509
Publisher
Elsevier BV
Volume
188
Pages
221-237
Type
Article
Metadata
Show full item recordCitation
McGuire, A., Mosbach, S., Lee, K., Reynolds, G., & Kraft, M. (2018). A high-dimensional, stochastic model for twin-screw granulation – Part 1: Model description. Chemical Engineering Science, 188 221-237. https://doi.org/10.1016/j.ces.2018.04.076
Abstract
© 2018 Elsevier Ltd In this work we present a novel four-dimensional, stochastic population balance model for twin-screw granulation. The model uses a compartmental framework to reflect changes in mechanistic rates between different screw element geometries. This allows us to capture the evolution of the material along the barrel length. The predictive power of the model is assessed across a range of liquid-solid feed ratios through comparison with experimental particle size distributions. The model results show a qualitative agreement with experimental trends and a number of areas for model improvement are discussed. A sensitivity analysis is carried out to assess the effect of key operating variables and model parameters on the simulated product particle size distribution. The stochastic treatment of the model allows the particle description to be readily extended to track more complex particle properties and their transformations.
Identifiers
External DOI: https://doi.org/10.1016/j.ces.2018.04.076
This record's URL: https://www.repository.cam.ac.uk/handle/1810/280191
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