Quantitative determination of modal content and morphological properties of coal sulphides by digital image analysis as a tool to check their flotation behaviour

Coz, E.; Castroviejo Bolibar, Ricardo; Bonilla, D. y García Frutos, J. (2003). Quantitative determination of modal content and morphological properties of coal sulphides by digital image analysis as a tool to check their flotation behaviour. "Fuel", v. 82 (n. 15-17); pp. 1921-1929. ISSN 0016-2361. https://doi.org/10.1016/S0016-2361(03)00150-9.

Descripción

Título: Quantitative determination of modal content and morphological properties of coal sulphides by digital image analysis as a tool to check their flotation behaviour
Autor/es:
  • Coz, E.
  • Castroviejo Bolibar, Ricardo
  • Bonilla, D.
  • García Frutos, J.
Tipo de Documento: Artículo
Título de Revista/Publicación: Fuel
Fecha: Octubre 2003
Volumen: 82
Materias:
Escuela: E.T.S.I. Minas (UPM) [antigua denominación]
Departamento: Ingeniería Geológica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

An efficient depression of coal sulphides in the flotation process means a healthier environment and may be essential for the sustainability of a coal operation. Nitric and ferric oxidative pre-treatment of coal pyrite have been tested to improve pyrite depression, and the results are compared with those from the process of raw, not pre-treated coal. The removal indexes point to nitric pre-treatment as the best, but depression is still low. The microscopic study of feed and products, coupled to Digital Image Analysis (DIA) in all the cases, provide important clues to understand the behaviour of pyrite, which can be related to quantitative parameters, such as the exposition ratio (ER), and to qualified interpretation of the textures. Pyrite shows in the first float an unexpected hydrophobic behaviour, which is due to its occurrence as framboids, or porous particles which may be intergrown with organic matter and behave as coal. In general, the flotation results can be predicted from the DIA-data, e.g. depression of liberated pyrite into the tailings, increased by oxidative pre-treatments by 300% (ferric) or by > 400% (nitric); or concentration of middlings with lower pyrite ER in the floats. DIA is an efficient tool to obtain some important quantitative informations which otherwise would be inaccessible (e.g. the morphological data on > 1,000,000 pyrite particles for this study), and its use should be enhanced to check ore processing.

Más información

ID de Registro: 10222
Identificador DC: http://oa.upm.es/10222/
Identificador OAI: oai:oa.upm.es:10222
Identificador DOI: 10.1016/S0016-2361(03)00150-9
URL Oficial: http://www.sciencedirect.com/science/journal/00162361
Depositado por: Biblioteca ETSI Minas y Energía
Depositado el: 03 Feb 2012 12:29
Ultima Modificación: 20 Abr 2016 18:27
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