Mineral preconcentration using near infrared sensor-based sorting

• Autorzy: Iyakwari S. , Glass H. J.

Identyfikatory

DOI

10.5277/ppmp150224

• Języki publikacji: EN

Abstrakty

EN

This paper predicts qualitatively and quantitatively the near infrared activity of individual minerals in simple and complex mineral associations using mixtures of common alteration minerals found in a copper ore. It was found that spectra dominance in most cases is dependent on any or combination of mineral composition, relative proportion or concentration and/or mineral accessibility or sensitivity to near infrared radiation. The analysis of results also indicated that, in most cases, only freely occurring waste, such as clays (kaolinite and/or muscovite) and calcite, can be targeted for discrimination. In this paper, a strategy for the application of near infrared for preconcentration of copper bearing minerals like chrysocolla and malachite from coarse ore particles was proposed. Other applications also considered in this paper include preconcentration of hematite from associated clays and carbonate waste, and the determination of moisture content in kaolinitic clays.

Słowa kluczowe

EN

near infrared; copper; hematite; preconcentration; strategy; intimate mixtures; moisture

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Physicochemical Problems of Mineral Processing
• Rocznik: 2015
• Tom: Vol. 51, iss. 2
• Strony: 661--674
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Iyakwari S.

• Camborne School of Mines, University of Exeter, Penryn Campus, Cornwall, TR10 9FE, UK

autor

Glass H. J.

• Camborne School of Mines, University of Exeter, Penryn Campus, Cornwall, TR10 9FE, UK

Bibliografia

• AINES R.D., ROSSMAN G.R., 1984, Water in minerals? A peak in the infrared, J. Geophys. Res. 89(B6), 4059.
• BISHOP J.L., DUMMEL A., 1996, The influence of fine-grained hematite powder on the spectral properties of Mars soil analogs; VIS-NIR bi-directional reflectance spectroscopy of mixtures. Lunar and Planetary Institute Science Conference Abstracts. Vol. 27.
• CLARK R.N., 1995, Reflectance spectra. In: Ahrens, T.J. (Ed.), Rock Physics and Phase: A Handbook of Physical Constants, Washington, American Geophysical Union, 178‒188.
• CLARK R.N., 1999, Spectroscopy of rocks and minerals, and principles of spectroscopy, P3–52. In N Rencz (ed.). Remote sensing for the earth sciences: Manual of remote sensing. Vol. 3. John Wiley & Sons, New York.
• DAROCH G.A., BARTON M.D., 2011, Hydrothermal alteration and mineralization in Santo Domingo Sur iron oxide (-Cu-Au) (IOCG) deposit, Atacama Region, Chile. 11th SGA Biennial meeting “Let talk ore deposits”.
• HUNT G.R., 1979, Near-infrared (1.3-2.4 μm) spectra of alteration minerals; potential for use in remote-sensing, Geophys, 44 (12) 1974-1986.
• HUNT G.R., HALL R.B., 1981, Identification of kaolins and associated minerals in altered volcanic rocks by infrared spectroscopy. Clay miner, 29(1) 76-78. IYAKWARI S., GLASS H.J., 2014, Influence of mineral particle size and choice of suitable parameters for ore sorting using near infrared sensors. Miner Eng, 69, 102-106. IYAKWARI S., GLASS H.J., KOWALCZUK P.B., 2013, Potential for near infrared sensor-based sorting of hydrothermally-formed minerals. J Near Infrared Spec, 21 (3) 223–229.
• POMMEROL A., SCHMITT B., 2008, Strength of H2O near infrared absorption bands in hydrated minerals: Effects of particle size and correlation with albedo, J. Geophys. Res., 113, E100009, doi10.1029/2007JE003069.
• STARK E., LUCHTER K., 2005, NIR instrumentation technology, NIR news 16, (7), 13-16.
• SAVITZKY A., GOLAY M.J.E., 1964, Smoothing and differentiation of data by simplified least squares procedures, Anal. Chem. 36, 1627-1639.