Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Geometallurgical characterisation of Leveäniemi iron ore: unlocking the patterns
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.ORCID iD: 0000-0002-9227-2470
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.ORCID iD: 0000-0003-4800-9533
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.ORCID iD: 0000-0002-8032-9388
Show others and affiliations
2018 (English)In: Conference in Minerals Engineering / [ed] Jan Rosenkranz, Bertil Pålsson, Tommy Karlkvist, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Geometallurgy of iron ores aims at linking geological variability and responses in the beneficiation process by a wide usage of automated mineralogy, proxy metallurgical tests (e.g., Davis tube) and process simulation.

In this study several patterns from iron ore processing, in context of their textural description, are revealed and modelling is attempted. The first one is an ore classification method with a novel quality estimator XLTU. The second one is an algorithm for predicting iron recovery in wet low intensity magnetic separator (WLIMS). The last one is predicting liberation distribution of iron oxides. Process variables are generated with a Davis tube and a WLIMS test. All streams are chemically characterised. Ore feed was studied for modal mineralogy and liberation distribution with QEMSCAN (Quantitative Evaluation of Minerals by Scanning Electron Microscopy). Post-processing for detecting the patterns and data dependencies was done with multivariate statistics: principal component analysis (PCA), and projection to latent structures regression (PLS). The study was done on 13 apatite iron ore type samples from the Leveäniemi mine (LKAB).

It is concluded that Davis tube test is better used only for marginal ores, since iron oxide minerals tend to be fully liberated in high grade magnetite massive ores after grinding. In addition, they will give high recovery and high mass pull in a Davis tube test.

The developed models can be used in populating a production block model in the future. Furthermore, future work should cover larger variability of marginal ores in terms of Fe grades and modal mineralogy (e.g. feldspar, amphibole, apatite dominated). Variability of grain size distribution ought to be included into future studies.

Place, publisher, year, edition, pages
2018.
Keywords [en]
geometallurgy, iron ore, Davis tube, PCA, Leveäniemi
National Category
Mineral and Mine Engineering Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
URN: urn:nbn:se:ltu:diva-67542OAI: oai:DiVA.org:ltu-67542DiVA, id: diva2:1180876
Conference
Conference in Minerals Engineering, Luleå, 6-7 feb. 2018 2018
Available from: 2018-02-07 Created: 2018-02-07 Last updated: 2018-03-01Bibliographically approved

Open Access in DiVA

No full text in DiVA

Search in DiVA

By author/editor
Lishchuk, ViktorLund, CeciliaKoch, Pierre-HenriPålsson, Bertil
By organisation
Minerals and Metallurgical Engineering
Mineral and Mine EngineeringMetallurgy and Metallic Materials

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 111 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf