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How to Build a Process Model in a Geometallurgical Program?
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Mineralteknik och metallurgi.ORCID-id: 0000-0003-4800-9533
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Mineralteknik och metallurgi.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Mineralteknik och metallurgi.
2015 (Engelska)Ingår i: Mineral Resources in a Sustainable World / [ed] A.S. Andre-Mayer; M. Cathelineau; P. Muchez; E. Pirard; S. Sindern, 2015, s. 1419-1422Konferensbidrag, Publicerat paper (Refereegranskat)
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

Ort, förlag, år, upplaga, sidor
2015. s. 1419-1422
Nationell ämneskategori
Metallurgi och metalliska material
Forskningsämne
Mineralteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-37309Lokalt ID: b49f7271-0a4d-4c65-b6bd-9ef4a02f9764ISBN: 978-2-85555-066-4 (tryckt)OAI: oai:DiVA.org:ltu-37309DiVA, id: diva2:1010807
Konferens
SGA Biennial Meeting on Mineral Resources in a Sustainable World : 24/08/2015 - 27/08/2015
Anmärkning
Validerad; 2016; Nivå 1; 20160621 (andbra)Tillgänglig från: 2016-10-03 Skapad: 2016-10-03 Senast uppdaterad: 2017-11-25Bibliografiskt granskad
Ingår i avhandling
1. Particle generation for geometallurgical process modeling
Öppna denna publikation i ny flik eller fönster >>Particle generation for geometallurgical process modeling
2017 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
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).

Ort, förlag, år, upplaga, sidor
Luleå: Luleå tekniska universitet, 2017. s. 76
Serie
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
Nyckelord
Geometallurgy, ore texture, texture classification, breakage simulation, process modeling
Nationell ämneskategori
Mineral- och gruvteknik
Forskningsämne
Mineralteknik
Identifikatorer
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 (Engelska)
Handledare
Projekt
PREP
Forskningsfinansiär
VINNOVA, 155152
Tillgänglig från: 2017-05-08 Skapad: 2017-05-08 Senast uppdaterad: 2017-11-24Bibliografiskt granskad

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Koch, Pierre-HenriLamberg, PerttiRosenkranz, Jan

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