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    Prediction of mineral liberation characteristics of comminuted particles of high grade ores

    Access Status
    Fulltext not available
    Authors
    Zhang, Jian
    Subasinghe, Nimal
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Zhang, Jian and Subasinghe, Nimal. 2013. Prediction of mineral liberation characteristics of comminuted particles of high grade ores. Minerals Engineering. 49: pp. 68-76.
    Source Title
    Minerals Engineering
    DOI
    10.1016/j.mineng.2013.05.005
    ISSN
    08926875
    URI
    http://hdl.handle.net/20.500.11937/47965
    Collection
    • Curtin Research Publications
    Abstract

    In mineral processing, the liberation of valuable mineral is of key importance in achieving high recoveries from downstream separation processes such as froth flotation and gravity concentration. To quantify mineral liberation, information on ore texture of the parent rock as well as properties of comminuted particles is essential. These properties have been quantified by statistical measures such as the proximity function and covariance function, which were extracted from SEM images of parent rock and particle polished sections, using convenient and efficient image analysis techniques based on Labview™ software. To quantify fully liberated particles, a phase specific line segment function has been introduced and evaluated by placing random line segments on the image. It was also found that the ore texture assumptions made by Barbery are not valid for the high grade sulphide ore tested and the general applicability of these assumptions is therefore questionable. Using the measured information above, predictive liberation models to quantify volumetric grade distribution of particles in 1D and 3D have been developed based on Barbery’s work. Results show that the grade distributions of composite particles predicted from the proposed1D model is closest to measured data than those of Barbery’s 1D model. The predictions using the proposed3D model are similar to those predicted from Barbery’s model and are considered more realistic as the model does not rely on assumed ore texture but on measurements made on the parent rock and particle sections.

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