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Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator

Discrete Element Method (DEM) simulations have the potential to provide particle-scale understanding of twin-screw granulators. This is difficult to obtain experimentally because of the closed, tightly confined geometry. An essential prerequisite for successful DEM modelling of a twin-screw granulat...

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Autores principales: Morrissey, John P., Hanley, Kevin J., Ooi, Jin Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704810/
https://www.ncbi.nlm.nih.gov/pubmed/34959417
http://dx.doi.org/10.3390/pharmaceutics13122136
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author Morrissey, John P.
Hanley, Kevin J.
Ooi, Jin Y.
author_facet Morrissey, John P.
Hanley, Kevin J.
Ooi, Jin Y.
author_sort Morrissey, John P.
collection PubMed
description Discrete Element Method (DEM) simulations have the potential to provide particle-scale understanding of twin-screw granulators. This is difficult to obtain experimentally because of the closed, tightly confined geometry. An essential prerequisite for successful DEM modelling of a twin-screw granulator is making the simulations tractable, i.e., reducing the significant computational cost while retaining the key physics. Four methods are evaluated in this paper to achieve this goal: (i) develop reduced-scale periodic simulations to reduce the number of particles; (ii) further reduce this number by scaling particle sizes appropriately; (iii) adopt an adhesive, elasto-plastic contact model to capture the effect of the liquid binder rather than fluid coupling; (iv) identify the subset of model parameters that are influential for calibration. All DEM simulations considered a GEA ConsiGma™ 1 twin-screw granulator with a 60° rearward configuration for kneading elements. Periodic simulations yielded similar results to a full-scale simulation at significantly reduced computational cost. If the level of cohesion in the contact model is calibrated using laboratory testing, valid results can be obtained without fluid coupling. Friction between granules and the internal surfaces of the granulator is a very influential parameter because the response of this system is dominated by interactions with the geometry.
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spelling pubmed-87048102021-12-25 Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator Morrissey, John P. Hanley, Kevin J. Ooi, Jin Y. Pharmaceutics Article Discrete Element Method (DEM) simulations have the potential to provide particle-scale understanding of twin-screw granulators. This is difficult to obtain experimentally because of the closed, tightly confined geometry. An essential prerequisite for successful DEM modelling of a twin-screw granulator is making the simulations tractable, i.e., reducing the significant computational cost while retaining the key physics. Four methods are evaluated in this paper to achieve this goal: (i) develop reduced-scale periodic simulations to reduce the number of particles; (ii) further reduce this number by scaling particle sizes appropriately; (iii) adopt an adhesive, elasto-plastic contact model to capture the effect of the liquid binder rather than fluid coupling; (iv) identify the subset of model parameters that are influential for calibration. All DEM simulations considered a GEA ConsiGma™ 1 twin-screw granulator with a 60° rearward configuration for kneading elements. Periodic simulations yielded similar results to a full-scale simulation at significantly reduced computational cost. If the level of cohesion in the contact model is calibrated using laboratory testing, valid results can be obtained without fluid coupling. Friction between granules and the internal surfaces of the granulator is a very influential parameter because the response of this system is dominated by interactions with the geometry. MDPI 2021-12-12 /pmc/articles/PMC8704810/ /pubmed/34959417 http://dx.doi.org/10.3390/pharmaceutics13122136 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Morrissey, John P.
Hanley, Kevin J.
Ooi, Jin Y.
Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator
title Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator
title_full Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator
title_fullStr Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator
title_full_unstemmed Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator
title_short Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator
title_sort conceptualisation of an efficient particle-based simulation of a twin-screw granulator
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704810/
https://www.ncbi.nlm.nih.gov/pubmed/34959417
http://dx.doi.org/10.3390/pharmaceutics13122136
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