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  4. Influence of particle size distribution and contact models on tablet compaction: a DEM micromechanical study
 
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Influence of particle size distribution and contact models on tablet compaction: a DEM micromechanical study

Citation Link: https://doi.org/10.15480/882.16972
Publikationstyp
Journal Article
Date Issued
2026-04-04
Sprache
English
Author(s)
Ait Ouazzou, Amine  
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Harshe, Yogesh M.  
Meunier, Vincent  
Finke, Jan H.  
Heinrich, Stefan  
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
TORE-DOI
10.15480/882.16972
TORE-URI
https://hdl.handle.net/11420/62662
Journal
Powder technology  
Volume
478
Article Number
122520
Citation
Powder Technology 478: 122520 (2026)
Publisher DOI
10.1016/j.powtec.2026.122520
Scopus ID
2-s2.0-105035054401
Publisher
Elsevier
The tableting process relies on understanding how particle-scale properties influence macroscopic tablet behaviour. This study examines the effects of particle size distribution (PSD) and contact models on tablet compaction using the Discrete Element Method (DEM). The PSD analysis shows that broader distributions achieve higher final densities and reduced elastic recovery. To assess the impact of contact mechanics, two cohesive DEM models, Hertz–Mindlin with Johnson–Kendall–Roberts (JKR) adhesion and the Edinburgh Elasto-Plastic Adhesion (EEPA) model, were compared under identical compaction kinematics. While both models follow similar loading behaviour, the EEPA formulation retains more of the imposed deformation during unloading, resulting in higher final densities, lower elastic recovery, and a more persistent contact structure than the elastic–adhesive Hertz–Mindlin–JKR model. These results emphasise the importance of both PSD design and contact-model selection when predicting compaction behaviour and final tablet structure in DEM-based analysis of cohesive powders.
Subjects
Discrete element method
Edinburgh Elasto-plastic adhesion (EEPA)
Hertz–Mindlin–JKR
Particle size distribution
Tablet compaction
DDC Class
610: Medicine, Health
620.11: Engineering Materials
519: Applied Mathematics, Probabilities
Funding(s)
Training in Upscaling particle Systems: Advancing Industry across Length-scales  
Lizenz
https://creativecommons.org/licenses/by/4.0/
Publication version
publishedVersion
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1-s2.0-S0032591026004092-main.pdf

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