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Particle dataset for constructing mineral processing case studies

Pereira, L.; Frenzel, M.; Khodadadzadeh, M.; Tolosana Delgado, R.; Gutzmer, J.

This file contains a train and a test datasets that can be used to construct fictional mineral processing studies, on a particle level, using known equations for different separation techniques. This data was collected with a mineral liberation analyzer at the Helmholtz Institute Freiberg for Resource Technology. The probabilities, and classes present together with the data are part of a publication in the journal of cleaner production. These could be simply removed in order to construct new cases.

Keywords: particle-tracking; geometallurgy; mineral processing modelling; flotation; resource efficiency; automated mineralogy
  • Reseach data in the HZDR data repository RODARE
    Publication date: 2020-05-19
    DOI: 10.14278/rodare.335
    License: CC-BY-4.0

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Permalink: https://www.hzdr.de/publications/Publ-31053
Publ.-Id: 31053