Scientific Data (Feb 2023)

The shape parameters of coal and gangue particles derived from 3D scanning

  • Daolong Yang,
  • Jinjing Tang,
  • Ningning Hu,
  • Youtao Xia,
  • Yanting Yu,
  • Qianqian Huang

DOI
https://doi.org/10.1038/s41597-023-02019-z
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 7

Abstract

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Abstract The irregular shape of mineral particles directly affects the angle of repose, bulk density and flow-properties, and the interaction behaviour between the particles and a contact surface. This paper presents a dataset of spatial data and shape parameters collected from 37 gangue particles and 135 anthracite coal particles, which come from the Shangzhuang Coal Mine. The particle surface models were obtained by a Wiiboox white light raster 3D scanner and Reeyee software. To obtain the scanning surface, each particle was scanned 8 times in different axial rotation directions. The final scanning model was obtained by stacking two scanning surfaces, and the shape parameters, such as length ratio, flatness ratio, and Zingg index, were obtained. This dataset is particularly useful for researchers and engineers who want to investigate the shape of coal and gangue particles or who want to test or benchmark measurement methods concerning the three-dimensional morphology of particles.