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Characterising chalcopyrite liberation and flotation potential: Examples from an IOCG deposit

机译:表征黄铜矿的释放和浮选潜力:来自IOCG矿床的实例

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A critical aspect of geometallurgy is quantifying mineralogical and textural relationships that affect mineral processing (e.g., liberation and recovery) and it is vital that this information is included in the planning process for both mining and mineral processing. However, to date, this has been an expensive and time consuming venture and only minimal amounts of this type of data are available to be included in the planning process. Our research is focused on developing new methods that will produce the required mineralogical and textural data rapidly and inexpensively. These include obtaining quantified textural data, such as the size and distribution of the valuable phase and its association with other minerals, by extracting it directly from mineral maps. In addition, simulated breakage of drill core samples was used as a rapid way of looking at various particle sizes to determine potential liberation behaviour. The predicted liberation parameter compares favourably with results obtained from typical MLA recovery analysis, is spatially coherent and can be used to recognise domains of high and low liberation potential that are expected to affect the grade recovery curve. The flotation response was evaluated and the technique validated using a small scale test being developed at the Julius Kruttschnitt Mineral Research Centre, i.e. the JKMSI (mineral separability indicator).
机译:地质冶金学的一个关键方面是量化影响矿物加工(例如,解放和恢复)的矿物学和质地关系,并且至关重要的是,在采矿和矿物加工的规划过程中应包括这些信息。但是,迄今为止,这是一项昂贵且耗时的工作,并且在规划过程中仅包含少量此类数据。我们的研究重点是开发新方法,这些方法将快速,廉价地产生所需的矿物和质地数据。这些包括通过直接从矿物图谱中提取量化的纹理数据,例如有价值相的大小和分布以及其与其他矿物的关联性。另外,钻芯样品的模拟破损被用作查看各种粒径以确定潜在释放行为的快速方法。预测的解放参数与从典型的MLA回收分析中获得的结果相比具有优势,在空间上是连贯的,可用于识别预计会影响品位回收曲线的高和低解放潜力的区域。浮选反应进行了评估,并使用了Julius Kruttschnitt矿产研究中心(即JKMSI(矿物可分离性指标))正在开发的小规模试验验证了该技术。

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