Slurry rheology prediction based on hyperspectral characterization models for minerals quantification
| Autor: | Javier Merrill, Christian F. Ihle, Angus McFarlane, Victor Montenegro, Leandro Voisin |
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| Rok vydání: | 2017 |
| Předmět: |
Materials science
Mechanical Engineering Mineralogy 02 engineering and technology General Chemistry Geotechnical Engineering and Engineering Geology 020501 mining & metallurgy Viscosity 020401 chemical engineering 0205 materials engineering Rheology Control and Systems Engineering Bentonite Gangue Mica 0204 chemical engineering Bingham plastic Clay minerals Mineral processing |
| Zdroj: | Minerals Engineering. 109:126-134 |
| ISSN: | 0892-6875 |
| Popis: | The presence of clays in mineral processing offers a number of challenges that range from valuable species recovery to the transport of tailings. In particular, when the abundance of one or more clay types increases, the rheology may be significantly affected. In this paper, the feasibility of using hyperspectral characterization to estimate rheological properties of mineral suspensions was studied. Towards this purpose, a set of rheology measurements was made for slurries of different composition, combining up to three out of five minerals: three clay minerals (two bentonites from different sources and kaolin), quartz and white mica, which are the main gangue minerals present in the Chilean copper mining industry. Using a Bingham Plastic flow model, a set of ternary plots for Bingham viscosity and yield stress was obtained. Results show counter-intuitive behavior for kaolin-white mica mixtures, showing a minimum for viscosity at a 2:3 ratio respectively. In addition, mechanisms for lowering the high viscosity reached by bentonite slurries were assessed. Modelling of the hyperspectral data produced high accuracy estimates of the mineral abundances, enabling an accurate determination of the respective samples position in the ternary mineralogy-rheology diagrams. |
| Databáze: | OpenAIRE |
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