Using mineral maps to rank potential processing behaviour

Hunt, J., Berry, R. and Walters, Stephen (2010). Using mineral maps to rank potential processing behaviour. In: XXV International Mineral Processing Congress - IMPC 2010 'Smarter processing for the future. International Mineral Processing Congress 2010, Brisbane, Qld, Australia, (2899-2905). 6-10 September, 2010.

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Author Hunt, J.
Berry, R.
Walters, Stephen
Title of paper Using mineral maps to rank potential processing behaviour
Conference name International Mineral Processing Congress 2010
Conference location Brisbane, Qld, Australia
Conference dates 6-10 September, 2010
Convener Ralph J. Holmes
Proceedings title XXV International Mineral Processing Congress - IMPC 2010 'Smarter processing for the future
Journal name XXV International Mineral Processing Congress 2010, IMPC 2010
Place of Publication Carlton, VIC, Australia
Publisher Australasian Institute of Mining and Metallurgy
Publication Year 2010
Year available 2010
Sub-type Fully published paper
ISBN 9781921522284
Volume 4
Start page 2899
End page 2905
Total pages 7
Collection year 2011
Language eng
Abstract/Summary Quantified textural data including mineral size and distribution have been extracted from mineral maps with the aim of ranking mineral processing behaviour such as liberation and flotation. Approximately 100 samples from five drill holes were examined to give a cross-section through a deposit. A mineral map of coarse (-1.18 + 0.6 mm) particulate material was created for each sample from polished thin sections using an optical microscope system and object-oriented multispectral image-analysis software. The images are used to estimate the size and distribution of the valuable phase and its association with other minerals. A segmentation algorithm was used to create simulated fragments from each mineral map on a grid pattern using several sizes of grids. Data pertaining to individual particles, the valuable phase, and the simulated fragments were extracted from the mineral maps. This data includes: width and length of valuable phase, relative area of each mineral phase within the sample and within each simulated fragment, proportion of valuable phase on particle rims and on the edges of simulated fragments. Analysis of the simulated fragment data indicates that liberation classes can be determined for the valuable phase and that these can be used to predict flotation behaviour.
Keyword Classified image
Mineral map
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Thu, 09 Dec 2010, 16:07:43 EST by Karen Holtham on behalf of Julius Kruttschnitt Mineral Research Centre