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. and Castroviejo Bolibar, Ricardo and Bonilla, D. and 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.

Description

Title: Quantitative determination of modal content and morphological properties of coal sulphides by digital image analysis as a tool to check their flotation behaviour
Author/s:
  • Coz, E.
  • Castroviejo Bolibar, Ricardo
  • Bonilla, D.
  • García Frutos, J.
Item Type: Article
Título de Revista/Publicación: Fuel
Date: October 2003
ISSN: 0016-2361
Volume: 82
Subjects:
Faculty: E.T.S.I. Minas (UPM)
Department: Ingeniería Geológica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 10222
DC Identifier: http://oa.upm.es/10222/
OAI Identifier: oai:oa.upm.es:10222
DOI: 10.1016/S0016-2361(03)00150-9
Official URL: http://www.sciencedirect.com/science/journal/00162361
Deposited by: Biblioteca ETSI Minas y Energía
Deposited on: 03 Feb 2012 12:29
Last Modified: 20 Apr 2016 18:27
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