Example of DEM simulation using EDEM 2021.2; Supplementary data underlying the publication “Predictive models for energy dissipation in mechanochemical ball milling”

DOI:10.4121/8e1fbebf-b170-4d43-9d30-b24b3862b128.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/8e1fbebf-b170-4d43-9d30-b24b3862b128

Datacite citation style

Garrido Nuñez, Santiago; Schott, Dingena; Johan Padding (2025): Example of DEM simulation using EDEM 2021.2; Supplementary data underlying the publication “Predictive models for energy dissipation in mechanochemical ball milling”. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8e1fbebf-b170-4d43-9d30-b24b3862b128.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains one fully reproducible Altair EDEM case used in the paper “Predictive models for energy dissipation in mechanochemical ball milling.” It includes the EDEM project files (.dem, .dfg, .ess, .efd, .ptf), a compiled custom model (.dll) to compute energy-dissipation metrics, and neutral geometry files (STEP/STL). The example can be adapted to any of the cases presented in the paper. Specific details can be found in the README file.

History

  • 2025-08-17 first online, published, posted

Publisher

4TU.ResearchData

Format

EDEM project/config: .dem, .dfg, .ess, .efd, .ptf ; Binary: .dll ; Geometry: .step/.stl.

Funding

  • SH2IPDRIVE: Sustainable Hydrogen Integrated Propulsion Drives (grant code MOB21013) RVO

Organizations

TU Delft, Faculty of Mechanical Engineering, Process & Energy Department, Complex Fluid Processing;
TU Delft, Faculty of Mechanical Engineering, Maritime and Transport Technology Department, Transport Engineering and Logistics.

DATA

Files (1)

  • 64,884,419 bytesMD5:be5fed5ab863826e7832d98c68b495351200.zip