DOI of the published article https://doi.org/10.1016/j.powtec.2025.120972
Experimentally validated DEM for large deformation powder compaction: mechanically-derived contact model and screening of non-physical contacts
DOI:
https://doi.org/10.31224/4289Keywords:
Discrete Element Method, large deformation powder compaction, tableting, adhesive, elastic-plastic, multi-particle finite element method, MDR contact modelAbstract
Despite widespread industrial reliance on powder compaction in manufacturing, a complete understanding of the underlying physical mechanisms that lead to pore structure, mechanical strength, and defects remains elusive, challenging ongoing efforts to optimize the process and improve product quality. The discrete element method (DEM) is a promising tool for studying powder compaction due to its algorithmic simplicity and particle-level insights, but its application is limited by the lack of accessible, physically justified contact models for large deformations. In this work, we help address this problem by extending the recently proposed mechanically-derived adhesive elastic-plastic MDR contact model suitable for large deformation to the case of many-interacting particles. A topological penalty algorithm for the screening of non-physical contacts occurring through obstructing particles, a phenomenon unique to large deformation DEM, is also proposed. The extended version of the contact model and topological penalty algorithm are implemented into the open-source DEM software LAMMPS and validated against the multi-particle finite element method (MPFEM). The contact models unique ability to reconstruct deformed particle shapes is highlighted by comparison to FEM predictions. The industrially relevant problem of pharmaceutical tableting is simulated and comparisons to experimental data for the compaction of Avicel PH102 (microcrystalline cellulose) are made. Good agreement is observed between the experiment and numerical simulation for the axial and radial stress measurements as a function of axial strain. Notably, the simulation is able to predict a similar residual radial stress after release of the axially confining pressure and ejection force to that of the experiment.
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Copyright (c) 2025 William Zunker, Sachith Dunatunga, Subhash Thakur, Pingjun Tang, Ken Kamrin

This work is licensed under a Creative Commons Attribution 4.0 International License.