Published 2025-02-14

Particle crushing simulation data via implicit DEM analyses

Data source language:

  • English

Data reference:

  • Zheng, T., Zhang, T., Guan, Q., Huang, W., Feng, Z., Song, M., & Chen, C. (2024). Graph Neural Networks-based hybrid framework for predicting particle crushing strength. Expert Systems with Applications, 255, 124691.

Contributors of raw data:

  • Tongya Zheng, Tianli Zhang, Qingzheng Guan, Wenjie Huang, Zunlei Feng, Mingli Song, Chun Chen

Data description:

  • 45,000 implicit DEM simulations for particle crushing, encompassing a total of 900 different particle types. This includes the Cartesian product of 20 distinct particle diameters, 15 different scaled shapes along the (X, Y, Z) axes, and 3 different compression axes under one-dimensional compression.

Keywords and subjects:

  • Particle crushing, implicit DEM simulation,

Availability:

  • publicly accessible
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