Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
How to Build a Process Model in a Geometallurgical Program?
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.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
2015 (English)In: Mineral Resources in a Sustainable World / [ed] A.S. Andre-Mayer; M. Cathelineau; P. Muchez; E. Pirard; S. Sindern, 2015, 1419-1422 p.Conference paper, Published paper (Refereed)
Abstract [en]

This work presents a literature review on ways to acquire relevant experimental data for the process model of a geometallurgical program. It identifies the needs in several unit models and proposes ideas for future developments

Place, publisher, year, edition, pages
2015. 1419-1422 p.
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
URN: urn:nbn:se:ltu:diva-37309Local ID: b49f7271-0a4d-4c65-b6bd-9ef4a02f9764ISBN: 978-2-85555-066-4 (print)OAI: oai:DiVA.org:ltu-37309DiVA: diva2:1010807
Conference
SGA Biennial Meeting on Mineral Resources in a Sustainable World : 24/08/2015 - 27/08/2015
Note
Validerad; 2016; Nivå 1; 20160621 (andbra)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-05-08Bibliographically approved
In thesis
1. Particle generation for geometallurgical process modeling
Open this publication in new window or tab >>Particle generation for geometallurgical process modeling
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

A geometallurgical model is the combination of a spatial model representing an ore deposit and a process model representing the comminution and concentration steps in beneficiation. The process model itself usually consists of several unit models. Each of these unit models operates at a given level of detail in material characterization - from bulk chemical elements, elements by size, bulk minerals and minerals by size to the liberation level that introduces particles as the basic entity for simulation (Paper 1).

In current state-of-the-art process simulation, few unit models are defined at the particle level because these models are complex to design at a more fundamental level of detail, liberation data is hard to measure accurately and large computational power is required to process the many particles in a flow sheet. Computational cost is a consequence of the intrinsic complexity of the unit models. Mineral liberation data depends on the quality of the sampling and the polishing, the settings and stability of the instrument and the processing of the data.

This study introduces new tools to simulate a population of mineral particles based on intrinsic characteristics of the feed ore. Features are extracted at the meso-textural level (drill cores) (Paper 2), put in relation to their micro-textures before breakage and after breakage (Paper 3). The result is a population of mineral particles stored in a file format compatible to import into process simulation software. The results show that the approach is relevant and can be generalized towards new characterization methods.

The theory of image representation, analysis and ore texture simulation is briefly introduced and linked to 1-point, 2-point, and multiple-point methods from spatial statistics. A breakage mechanism is presented as a cellular automaton. Experimental data and examples are taken from a copper-gold deposit with a chalcopyrite flotation circuit, an iron ore deposit with a magnetic separation process.

This study is covering a part of a larger research program, PREP (Primary resource efficiency by enhanced prediction).

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2017. 76 p.
Series
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
Keyword
Geometallurgy, ore texture, texture classification, breakage simulation, process modeling
National Category
Mineral and Mine Engineering
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-63270 (URN)978-91-7583-904-2 (ISBN)978-91-7583-905-9 (ISBN)
Presentation
2017-06-02, C305, Luleå, 10:00 (English)
Supervisors
Projects
PREP
Funder
VINNOVA, 155152
Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2017-05-23Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Koch, Pierre-HenriLamberg, PerttiRosenkranz, Jan
By organisation
Minerals and Metallurgical Engineering
Metallurgy and Metallic Materials

Search outside of DiVA

GoogleGoogle Scholar

Total: 560 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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