Development of a geometallurgical framework to quantify mineral textures for process prediction
•A geometallurgical framework based on the mineralogical information was established.•A classification scheme was framed to identify mineral textures present in the ore.•Developed method quantifies mineral textures by processing the liberation data.•Each tested texture is collected in a library and...
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Veröffentlicht in: | Minerals engineering 2015-10, Vol.82, p.61-77 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •A geometallurgical framework based on the mineralogical information was established.•A classification scheme was framed to identify mineral textures present in the ore.•Developed method quantifies mineral textures by processing the liberation data.•Each tested texture is collected in a library and it is called a textural archetype.
A geometallurgical framework was developed in three steps using the Malmberget iron ore deposit, northern Sweden, as a case study. It is based on a mineralogical-particle approach which means that the mineralogical information is the main focus. Firstly, the geological model describes quantitatively the variation in modal composition and mineral textures within the ore body. Traditional geological textural descriptions are qualitative and therefore a quantitative method that distinguishes different mineral textures that can be categorised into textural archetypes was developed.
The second step of the geometallurgical framework is a particle breakage model which forecasts how ore will break in comminution and which kind of particles will be generated. A simple algorithm was developed to estimate the liberation distribution for the progenies of each textural archetype. The model enables numerical prediction of the liberation spectrum as modal mineralogy varies. The third step includes a process model describing quantitatively how particles with varying particle size and composition behave in each unit process stage. As a whole the geometallurgical framework considers the geological model in terms of modal composition and textural type. The particle breakage model forecasts the liberation distribution of the corresponding feed to the concentration process and the process model returns the metallurgical response in terms of product quality (grade) and efficacy (recovery). |
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ISSN: | 0892-6875 1872-9444 1872-9444 |
DOI: | 10.1016/j.mineng.2015.04.004 |