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Artículos en revistas:
Automated characterisation of intergrowth textures in mineral particles. A case study
Año:2013
Áreas de investigación
  • Ingenierías
Datos
Descripción
The characterisation of mineral texture has been a major concern for process mineralogists, as liberation characteristics of the ores are intimately related to the mineralogical texture. While a great effort has been done to automatically characterise texture in unbroken ores, the characterisation of textural attributes in mineral particles is usually descriptive. However, the quantitative characterisation of texture in mineral particles is essential to improve and predict the performance of minerallurgical processes (i.e. all the processes involved in the liberation and separation of the mineral of interest) and to achieve a more accurate geometallurgical model. Driven by this necessity of achieving a more complete characterisation of textural attributes in mineral particles, a methodology has been recently developed to automatically characterise the type of intergrowth between mineral phases within particles by means of digital image analysis. In this methodology, a set of minerallurgical indices has been developed to quantify different mineralogical features and to identify the intergrowth pattern by discriminant analysis. The paper shows the application of the methodology to the textural characterisation of chalcopyrite in the rougher concentrate of the Kansanshi copper mine (Zambia). In this sample, the variety of intergrowth patterns of chalcopyrite with the other minerals has been used to illustrate the methodology. The results obtained show that the method identifies the intergrowth type and provides quantitative information to achieve a complete and detailed mineralogical characterisation. Therefore, the use of this methodology as a routinely tool in automated mineralogy would contribute to a better understanding of the ore behaviour during liberation and separation processes.
Internacional
Si
JCR del ISI
Si
Título de la revista
Minerals Engineering
ISSN
0892-6875
Factor de impacto JCR
1,352
Información de impacto
Datos JCR del año 2011
Volumen
52
DOI
http://dx.doi.org/10.1016/j.mineng.2013.05.001
Número de revista
Desde la página
136
Hasta la página
142
Mes
MAYO
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Participantes
  • Autor: Laura Perez Barnuevo (UPM)
  • Autor: Eric Pirard (Université de Liège)
  • Autor: Ricardo Castroviejo Bolibar (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería Geológica
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