PyCompact: An integrated workflow for discrete element method–multi-particle finite element method for powder compaction simulation

This study introduces an integrated workflow for simulating powder compaction through a hybrid discrete element method (DEM) and multi-particle finite element method (MPFEM) approach. PyCompact, by integrating FreeCAD, LIGGGHTS, ParaView, LS-PrePost, and OpenRadioss with two in-house Python scripts for automated data translation and mesh generation, the framework covers the full simulation cycle: geometric modelling, particle generation, finite element meshing, compaction analysis, and visualization. The workflow was validated using experimental data from two Fe-Si-Al-P powders with distinct particle size distributions. Results demonstrated a maximum relative density deviation of only 2.5 % compared to experiments, matching ABAQUS predictions. This work introduces the first validated DEM-MPFEM framework that eliminates licensing barriers for the core simulation steps, enhances reproducibility, and adapts to various powder compaction applications in academic and industrial settings.

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Publication Details

Journal
SoftwareX
Published
2026-01-06
DOI
https://doi.org/10.1016/j.softx.2025.102495
Primary Topic
Powder Metallurgy Techniques and Materials
Type
article
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article

PyCompact: An integrated workflow for discrete element method–multi-particle finite element method for powder compaction simulation

J. K. Kim, Majid Mohammadhosseinzadeh, Hossein Ghorbani-Menghari
SoftwareX
Powder Metallurgy Techniques and Materials
article

PyCompact: An integrated workflow for discrete element method–multi-particle finite element method for powder compaction simulation

J. K. Kim, Majid Mohammadhosseinzadeh, Hossein Ghorbani-Menghari
article en

Abstract

This study introduces an integrated workflow for simulating powder compaction through a hybrid discrete element method (DEM) and multi-particle finite element method (MPFEM) approach. PyCompact, by integrating FreeCAD, LIGGGHTS, ParaView, LS-PrePost, and OpenRadioss with two in-house Python scripts for automated data translation and mesh generation, the framework covers the full simulation cycle: geometric modelling, particle generation, finite element meshing, compaction analysis, and visualization. The workflow was validated using experimental data from two Fe-Si-Al-P powders with distinct particle size distributions. Results demonstrated a maximum relative density deviation of only 2.5 % compared to experiments, matching ABAQUS predictions. This work introduces the first validated DEM-MPFEM framework that eliminates licensing barriers for the core simulation steps, enhances reproducibility, and adapts to various powder compaction applications in academic and industrial settings.

SoftwareXVol. 33
Pusan National University (KR)
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Powder Metallurgy Techniques and Materials
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