Examination of ultrasonic treatment of iron ore fines using automatic iron ore texture classification

Donskoi, E., Campbell, J. J., Young, J. M., Raynlyn, T. and Poliakov, A. (2007). Examination of ultrasonic treatment of iron ore fines using automatic iron ore texture classification. In: , Iron Ore Conference 2007: Proceedings. Iron Ore Conference 2007, Perth, WA, Australia, (251-257). 20-22 August 2007.

Author Donskoi, E.
Campbell, J. J.
Young, J. M.
Raynlyn, T.
Poliakov, A.
Title of paper Examination of ultrasonic treatment of iron ore fines using automatic iron ore texture classification
Conference name Iron Ore Conference 2007
Conference location Perth, WA, Australia
Conference dates 20-22 August 2007
Proceedings title Iron Ore Conference 2007: Proceedings
Journal name Australasian Institute of Mining and Metallurgy Publication Series
Place of Publication Parkville, Vic., Australia
Publisher Australasian Institute of Mining and Metallurgy
Publication Year 2007
Sub-type Fully published paper
ISBN 9781920806675
Start page 251
End page 257
Total pages 7
Language eng
Abstract/Summary In order to correctly predict the performance of beneficiation processes, such as hydrocycloning or ultrasonic treatment of iron ore fines, it is important to understand possible changes in size distribution, mineral composition and textural peculiarities. During beneficiation processes, iron ore can be subjected to various physical actions which may result in changes in size distribution. In the case of soft or friable ores, attritioning and/or deagglomeration may have a significant effect on both separation performance and product stream specifications. Optical image analysis tools, which give statistical information on a particle by particle basis, can help in better understanding the response of the ores to these processes. An experimental study has been conducted to investigate the response of a haematitic-goethitic iron ore to a combination of stirring and ultrasonic treatment. The effect of stirring and ultrasonic treatment on the size and mineral distribution has been quantified using image analysis and automatic ore texture classification. This approach has been applied to several size coarse fractions of the initial feed and product. The results show that, following treatment, the mass proportion of ore texture classes which contained higher amounts of ochreous goethite and kaolinite had significantly decreased compared with that in the feed, while the proportion of texture classes where haematite was the major mineral had increased. Liberation analysis also showed a significant increase in the proportion of particles with more than 95 per cent haematite and vitreous goethite.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Conference Paper
Collection: Julius Kruttschnitt Mineral Research Centre Publications
 
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