Other Open Access

Interactive results viewer: Computing single-particle flotation kinetics using automated mineralogy data and machine learning

Pereira, Lucas; Frenzel, Max; Hoang, Duong Huu; Tolosana-Delgado, Raimon; Rudolph, Martin; Gutzmer, Jens

This plotting application allows the reader to interact with all results obtained in the case study presented in the publication

"Computing single-particle flotation kinetics using automated mineralogy data and machine learning", submitted on 07/10/2020 to Minerals Engineering and currently under review.

The interactive plot displays the flotation kinetics modelling outcome (k, Rmax, km) for single-particles. The user is able to filter particles according to their intrinsic properties (modal composition, surface composition, size, and shape), thus allowing the user to understand the influence of every particle property in their process (i.e. flotation) behavior.

The platform contains a help function to guide the user.

It can be accessed here: Pereira et al. 2021 Flotation kinetics platform.

Files (47 Bytes)
Name Size
Platform link.txt
md5:fd8357c8d29e4c75d4b114a7badf0b1d
47 Bytes Download
  • https://doi.org/10.31223/osf.io/5tghq

236
18
views
downloads
All versions This version
Views 23667
Downloads 184
Data volume 832 Bytes188 Bytes
Unique views 17752
Unique downloads 184

Share

Cite as