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Australian State/Territory : VIC
Field of Research : Electrical and Electronic Engineering
Research Topic : COPPER
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  • Funded Activity

    Linkage Projects - Grant ID: LP0562337

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Automated On-Line Analysis and Contaminant Detection in Mineral Ore Processing. On-belt analysis is a key to efficient functioning of several industries involved in the mining and use of minerals. It provides chemical analysis of the minerals as they run through the instrument on a conveyer belt. It permits quality control and detection of impurities. The Scantech on-line analyser is at the forefront of this technology. Our aim is to produce novel techniques to significantly improve and m .... Automated On-Line Analysis and Contaminant Detection in Mineral Ore Processing. On-belt analysis is a key to efficient functioning of several industries involved in the mining and use of minerals. It provides chemical analysis of the minerals as they run through the instrument on a conveyer belt. It permits quality control and detection of impurities. The Scantech on-line analyser is at the forefront of this technology. Our aim is to produce novel techniques to significantly improve and make more efficient the processing of data from the analyser. A particular focus will be quicker and improved calibration of the instrument. These techniques will increase the accuracy and speed while reducing the costs of such analysers, thus retaining and enhancing their competitiveness in the global market.
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    Funded Activity

    Linkage Projects - Grant ID: LP0348409

    Funder
    Australian Research Council
    Funding Amount
    $333,300.00
    Summary
    Accurate calibration and interpretation of airborne electromagnetic data. There is increasing interest in using airborne electromagnetic (AEM) data to explore structural features hidden beneath the earth's surface. At present, 2D images of these features can be built up using approximate 1D models that predict electrical conductivity. This research will develop 2D models that allow accurate imaging of 3D structures. Applications include mineral and diamond exploration, the mapping of leakage fro .... Accurate calibration and interpretation of airborne electromagnetic data. There is increasing interest in using airborne electromagnetic (AEM) data to explore structural features hidden beneath the earth's surface. At present, 2D images of these features can be built up using approximate 1D models that predict electrical conductivity. This research will develop 2D models that allow accurate imaging of 3D structures. Applications include mineral and diamond exploration, the mapping of leakage from tailings dams, and more precise mapping of dryland salinity. The project also aims to develop a method to calibrate AEM systems, leading to more accurate environmental mapping and significant long-term economic benefits.
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    Active Funded Activity

    Industrial Transformation Training Centres - Grant ID: IC190100017

    Funder
    Australian Research Council
    Funding Amount
    $3,703,664.00
    Summary
    ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource .... ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.
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    Showing 1-3 of 3 Funded Activites

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