Granular Matter

, 21:98 | Cite as

Assessment of particle rearrangement and anisotropy in high-load tableting with a DEM-based elasto-plastic cohesive model

  • Ramon CabiscolEmail author
  • Jan Henrik Finke
  • Arno Kwade
Original Paper
Part of the following topical collections:
  1. Multiscale analysis of particulate micro- and macro-processes


The goal of the present study is to assess the extent of particle rearrangement and the degree of anisotropy for uni-axial compaction of microcrystalline cellulose (MCC) by Discrete Element method simulations. The elasto-plastic cohesive hysteretic Edinburgh contact model is hereby considered. First, a calibration strategy for all required collisional, frictional, or cohesion input parameters is presented. A dual approach combining direct determination tests (e.g., nano-indentation or inverse gas chromatography) and indirect fitting tests (e.g., tumbling drum test) provides the final set of property values. Second, the uni-axial compaction of MCC for a range of target compaction pressures and different primary particle dispersities (mono- and polydisperse) is conducted. The anisotropic behavior of compaction is analyzed by computing averaged quantities such as the deviatoric term and the maximum difference between characteristic roots of the fabric tensor. The results depict a remaining degree of anisotropy after compaction, depending on the maximum compaction pressure and particle dispersity, which does not fully recover after powder decompression.


DEM Tableting Anisotropy MCC 



The economic support of the European Community under the Marie Skłodowska-Curie Initial Training Network FP7 (ITN607453) T-MAPPP is gratefully acknowledged. We would like to thank the collaboration of DFE Pharma in supplying Pharmacel® 102 for this study. At the same time, the authors would also like to thank Dr. Xizhong Chen for his contribution to the coarse graining averaging analysis, Ms. Stephanie Michel for the realization of the nano-indentation tests, Mr. Paul Fabio Prziwara for executing the iGC tests, and Mr. Matthäus Barasinski for his contribution to the implementation of the fabric tensor formulation.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.


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© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute for Particle Technology (iPAT)Technische Universität Braunschweig (TUBS)BraunschweigGermany
  2. 2.Center of Pharmaceutical Engineering (PVZ)Technische Universität Braunschweig (TUBS)BraunschweigGermany

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