首页> 外文期刊>Journal Of The South African Institute Of Mining & Metallurgy >Separation of kimberlite from waste rocks using sensor-based sorting at Cullinan Diamond Mine
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Separation of kimberlite from waste rocks using sensor-based sorting at Cullinan Diamond Mine

机译:使用基于传感器的分类在Cullinan Diamond Ine中分离废岩中的金伯拉特

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Near-infrared (NIR) spectroscopy sorting technology is incorporated in an automated optical mineral sorter that can discriminate between materials using the differences in characteristics when exposed to near-infrared radiation. During September 2014 to April 2015, a pilot plant that utilized NIR technology to discriminate between kimberlite and waste materials was commissioned to determine the viability of including this technology in the diamond winning process flow sheet at Cullinan Diamond Mine. The plant was used to minimize the waste content in the size fraction -70+35 mm that reports to the crushing section and then to the dense media separation process. This paper describes the initial test work, conducted at Mintek, that led to the decision to conduct a pilot-scale study. The mineralogical characterization of the feed and product streams to establish the sorting criteria and the operational data obtained during the pilot plant campaign are described. The results indicated a good possibility of discriminating between the kimberlite and waste material using NIR technology. However, the consistency of discrimination was not good enough to avoid the risk of potential diamond loss. Furthermore, a lower than expected availability of the machine reduced the throughput capabilities.
机译:近红外(NIR)光谱分选技术结合在自动光学矿物分子中,可以在暴露于近红外辐射时使用特性的差异来区分材料。在2014年9月至2015年4月期间,利用NIR技术区分金伯利特和废物材料的试点工厂被委托,以确定包括在Cullinan钻石矿山钻石获胜过程流程图中包括这项技术的可行性。该植物用于最小化尺寸分数-70 + 35mm的废物含量,该废物含量报告在破碎部分,然后向致密介质分离过程中报告。本文介绍了在Mintek进行的初始测试工作,导致执行试验规模研究的决定。描述了饲料和产品流的矿物学表征,以建立分类标准和在试验工厂运动期间获得的操作数据。结果表明使用NIR技术区分金伯拉特和废料之间的良好可能性。然而,歧视的一致性不足以避免潜在钻石损失的风险。此外,机器的低于预期可用性降低了吞吐量能力。

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