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Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method
The purpose of this work is to simulate the powder compaction of pharmaceutical materials at the microscopic scale in order to better understand the interplay of mechanical forces between particles, and to predict their compression profiles by controlling the microstructure. For this task, the new f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707439/ https://www.ncbi.nlm.nih.gov/pubmed/34959475 http://dx.doi.org/10.3390/pharmaceutics13122194 |
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author | Giannis, Kostas Schilde, Carsten Finke, Jan Henrik Kwade, Arno |
author_facet | Giannis, Kostas Schilde, Carsten Finke, Jan Henrik Kwade, Arno |
author_sort | Giannis, Kostas |
collection | PubMed |
description | The purpose of this work is to simulate the powder compaction of pharmaceutical materials at the microscopic scale in order to better understand the interplay of mechanical forces between particles, and to predict their compression profiles by controlling the microstructure. For this task, the new framework of multi-contact discrete element method (MC-DEM) was applied. In contrast to the conventional discrete element method (DEM), MC-DEM interactions between multiple contacts on the same particle are now explicitly taken into account. A new adhesive elastic-plastic multi-contact model invoking neighboring contact interaction was introduced and implemented. The uniaxial compaction of two microcrystalline cellulose grades (Avicel(®) PH 200 (FMC BioPolymer, Philadelphia, PA, USA) and Pharmacel(®) 102 (DFE Pharma, Nörten-Hardenberg, Germany) subjected to high confining conditions was studied. The objectives of these simulations were: (1) to investigate the micromechanical behavior; (2) to predict the macroscopic behavior; and (3) to develop a methodology for the calibration of the model parameters needed for the MC-DEM simulations. A two-stage calibration strategy was followed: first, the model parameters were directly measured at the micro-scale (particle level) and second, a meso-scale calibration was established between MC-DEM parameters and compression profiles of the pharmaceutical powders. The new MC-DEM framework could capture the main compressibility characteristics of pharmaceutical materials and could successfully provide predictions on compression profiles at high relative densities. |
format | Online Article Text |
id | pubmed-8707439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87074392021-12-25 Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method Giannis, Kostas Schilde, Carsten Finke, Jan Henrik Kwade, Arno Pharmaceutics Article The purpose of this work is to simulate the powder compaction of pharmaceutical materials at the microscopic scale in order to better understand the interplay of mechanical forces between particles, and to predict their compression profiles by controlling the microstructure. For this task, the new framework of multi-contact discrete element method (MC-DEM) was applied. In contrast to the conventional discrete element method (DEM), MC-DEM interactions between multiple contacts on the same particle are now explicitly taken into account. A new adhesive elastic-plastic multi-contact model invoking neighboring contact interaction was introduced and implemented. The uniaxial compaction of two microcrystalline cellulose grades (Avicel(®) PH 200 (FMC BioPolymer, Philadelphia, PA, USA) and Pharmacel(®) 102 (DFE Pharma, Nörten-Hardenberg, Germany) subjected to high confining conditions was studied. The objectives of these simulations were: (1) to investigate the micromechanical behavior; (2) to predict the macroscopic behavior; and (3) to develop a methodology for the calibration of the model parameters needed for the MC-DEM simulations. A two-stage calibration strategy was followed: first, the model parameters were directly measured at the micro-scale (particle level) and second, a meso-scale calibration was established between MC-DEM parameters and compression profiles of the pharmaceutical powders. The new MC-DEM framework could capture the main compressibility characteristics of pharmaceutical materials and could successfully provide predictions on compression profiles at high relative densities. MDPI 2021-12-18 /pmc/articles/PMC8707439/ /pubmed/34959475 http://dx.doi.org/10.3390/pharmaceutics13122194 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 Giannis, Kostas Schilde, Carsten Finke, Jan Henrik Kwade, Arno Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method |
title | Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method |
title_full | Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method |
title_fullStr | Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method |
title_full_unstemmed | Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method |
title_short | Modeling of High-Density Compaction of Pharmaceutical Tablets Using Multi-Contact Discrete Element Method |
title_sort | modeling of high-density compaction of pharmaceutical tablets using multi-contact discrete element method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707439/ https://www.ncbi.nlm.nih.gov/pubmed/34959475 http://dx.doi.org/10.3390/pharmaceutics13122194 |
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