MINERAL PRECONCENTRATION USING NEAR INFRARED SENSOR-BASED SORTING
MINERAL PRECONCENTRATION USING NEAR INFRARED SENSOR-BASED SORTING
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使用基于近红外传感器的分选进行矿物预浓缩
DOI：
10.5277/ppmp150224
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发表时间：
2015
影响因子：
1.5
通讯作者：
H. Glass
中科院分区：
文献类型：
--
作者：
S. Iyakwari;H. Glass
本文利用铜矿中常见蚀变矿物的混合物，定性和定量地预测了简单矿物组合和复杂矿物组合中单个矿物的近红外活度。研究发现，在大多数情况下，光谱优势取决于矿物组成、相对比例或浓度和/或矿物可获得性或对近红外辐射的敏感性的任何或组合。对结果的分析还表明，在大多数情况下，只有易发生的废物，如粘土(高岭石和/或白云母)和方解石，才能成为歧视的目标。本文提出了一种利用近红外技术从粗粒矿石中预选黄晶石、孔雀石等含铜矿物的方案。本文还考虑了其他应用，包括从伴生粘土和碳酸盐废料中预选赤铁矿，以及测定高岭土中的水分含量。
This paper predicts qualitatively and quantitatively the near infrared activity of individual minerals in simple and complex mineral associations using mixtures of common alteration minerals found in a copper ore. It was found that spectra dominance in most cases is dependent on any or combination of mineral composition, relative proportion or concentration and/or mineral accessibility or sensitivity to near infrared radiation. The analysis of results also indicated that, in most cases, only freely occurring waste, such as clays (kaolinite and/or muscovite) and calcite, can be targeted for discrimination. In this paper, a strategy for the application of near infrared for preconcentration of copper bearing minerals like chrysocolla and malachite from coarse ore particles was proposed. Other applications also considered in this paper include preconcentration of hematite from associated clays and carbonate waste, and the determination of moisture content in kaolinitic clays.