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Validating a Numerical Simulation of the ConsiGma(R) Coater

Continuous manufacturing is increasingly used in the pharmaceutical industry, as it promises to deliver better product quality while simultaneously increasing production flexibility. GEA developed a semi-continuous tablet coater which can be integrated into a continuous tableting line, accelerating...

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Detalles Bibliográficos
Autores principales: Boehling, Peter, Jacevic, Dalibor, Detobel, Frederik, Holman, James, Wareham, Laura, Metzger, Matthew, Khinast, Johannes G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691303/
https://www.ncbi.nlm.nih.gov/pubmed/33244725
http://dx.doi.org/10.1208/s12249-020-01841-7
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author Boehling, Peter
Jacevic, Dalibor
Detobel, Frederik
Holman, James
Wareham, Laura
Metzger, Matthew
Khinast, Johannes G.
author_facet Boehling, Peter
Jacevic, Dalibor
Detobel, Frederik
Holman, James
Wareham, Laura
Metzger, Matthew
Khinast, Johannes G.
author_sort Boehling, Peter
collection PubMed
description Continuous manufacturing is increasingly used in the pharmaceutical industry, as it promises to deliver better product quality while simultaneously increasing production flexibility. GEA developed a semi-continuous tablet coater which can be integrated into a continuous tableting line, accelerating the switch from traditional batch production to the continuous mode of operation. The latter offers certain advantages over batch production, e.g., operational flexibility, increased process/product quality, and decreased cost. However, process understanding is the key element for process control. In this regard, computational tools can improve the fundamental understanding and process performance, especially those related to new processes, such as continuous tablet coating where process mechanics remain unclear. The discrete element method (DEM) and computational fluid dynamics (CFD) are two methods that allow transition from empirical process design to a mechanistic understanding of the individual process units. The developed coupling model allows to track the heat, mass, and momentum exchange between the tablet and fluid phase. The goal of this work was to develop and validate a high-fidelity CFD-DEM simulation model of the tablet coating process in the GEA ConsiGma® coater. After the model development, simulation results for the tablet movement, coating quality, and heat and mass transfer during the coating process were validated and compared to the experimental outcomes. The experimental and simulation results agreed well on all accounts measured, indicating that the model can be used in further studies to investigate the operating space of the continuous tablet coating process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1208/s12249-020-01841-7.
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spelling pubmed-76913032020-12-02 Validating a Numerical Simulation of the ConsiGma(R) Coater Boehling, Peter Jacevic, Dalibor Detobel, Frederik Holman, James Wareham, Laura Metzger, Matthew Khinast, Johannes G. AAPS PharmSciTech Research Article Continuous manufacturing is increasingly used in the pharmaceutical industry, as it promises to deliver better product quality while simultaneously increasing production flexibility. GEA developed a semi-continuous tablet coater which can be integrated into a continuous tableting line, accelerating the switch from traditional batch production to the continuous mode of operation. The latter offers certain advantages over batch production, e.g., operational flexibility, increased process/product quality, and decreased cost. However, process understanding is the key element for process control. In this regard, computational tools can improve the fundamental understanding and process performance, especially those related to new processes, such as continuous tablet coating where process mechanics remain unclear. The discrete element method (DEM) and computational fluid dynamics (CFD) are two methods that allow transition from empirical process design to a mechanistic understanding of the individual process units. The developed coupling model allows to track the heat, mass, and momentum exchange between the tablet and fluid phase. The goal of this work was to develop and validate a high-fidelity CFD-DEM simulation model of the tablet coating process in the GEA ConsiGma® coater. After the model development, simulation results for the tablet movement, coating quality, and heat and mass transfer during the coating process were validated and compared to the experimental outcomes. The experimental and simulation results agreed well on all accounts measured, indicating that the model can be used in further studies to investigate the operating space of the continuous tablet coating process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1208/s12249-020-01841-7. Springer International Publishing 2020-11-26 /pmc/articles/PMC7691303/ /pubmed/33244725 http://dx.doi.org/10.1208/s12249-020-01841-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Boehling, Peter
Jacevic, Dalibor
Detobel, Frederik
Holman, James
Wareham, Laura
Metzger, Matthew
Khinast, Johannes G.
Validating a Numerical Simulation of the ConsiGma(R) Coater
title Validating a Numerical Simulation of the ConsiGma(R) Coater
title_full Validating a Numerical Simulation of the ConsiGma(R) Coater
title_fullStr Validating a Numerical Simulation of the ConsiGma(R) Coater
title_full_unstemmed Validating a Numerical Simulation of the ConsiGma(R) Coater
title_short Validating a Numerical Simulation of the ConsiGma(R) Coater
title_sort validating a numerical simulation of the consigma(r) coater
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691303/
https://www.ncbi.nlm.nih.gov/pubmed/33244725
http://dx.doi.org/10.1208/s12249-020-01841-7
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