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首页> 外文期刊>International Journal of Mineral Processing >Performance evaluation of optical sorting in mineral processing – A case study with quartz, magnesite, hematite, lignite, copper and gold ores
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Performance evaluation of optical sorting in mineral processing – A case study with quartz, magnesite, hematite, lignite, copper and gold ores

机译:矿物加工中光学分选性能评价 - 以石英,菱镁矿,赤铁矿,褐煤,铜和金矿案例研究

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摘要

AbstractOptical sorting is increasingly playing an important role in mineral processing. Therefore, a better understanding of this method is required concerning general properties and mineral sorting applications. To date, optical sorting has been widely studied in terms of industrial applications and performance evaluation particularly in mineral processing. Nevertheless, process optimization requires better understanding of qualitative and quantitative figures based on real life sorting applications.In this study, the relationship between feed rate and separation efficiency of a gravity type and visible light responsive sensor mounted optical sorter (VIS sorter) was investigated. In addition to the feed rate, the effect of particle size on separation performance was also discussed. Laboratory studies included a selection of material, sample preparation, and optical sorting tests with magnesite, quartz, lignite, hematite, copper and gold ore samples. Experimental studies performed with different size fractions at varying feed rates were followed by evaluation of results with ROC (receiver operating characteristics) graphs. Recovery, grade, and capacity indicators are important to define the efficiency of the optical sorting. Alternatively, ROCs highlight missing particles and false alarm rates, which are used to characterize set points and detectability of the equipment/operation. In the tests performed with quartz and magnesite samples, % weights of valuable (white) and non–valuable (colored) particles in products were directly used to express the performance of optical sorting with ROC. Additionally, % Fe content, % dry ash content, % copper recovery and % gold recovery figures were used to define the ROC parameters for hematite, lignite, copper and gold ore samples.Results showed that the performance of the VIS type optical sorter mainly depends on correctly sorted amounts of valuable and non–valuable particles. Alongside with the evaluation of change in sorting performances in accordance with feed rate, ore type, and particle size; pre-concentration of copper and gold ores, concentration of hematite from alkaline waste, dry cleaning of lignite and market quality magnesite and quartz sorting applications with VIS type optical sorter were also discussed.Highlights?Performance of visible light responsive optical sorter (VIS sorter) was investigated.?Quartz, magnesite, hematite, lignite, copper and gold ores were sorted.?Samples having high colour contrast among particles have high sorting efficiencies.?Sorting efficiency decreases with decreasing particle size at identical feed rates.?Sorting efficiency decreases with increasing the feed rates.
机译:<![cdata [ 抽象 光学分类越来越多地在矿物处理中发挥重要作用。因此,需要更好地了解该方法的一般属性和矿物分类应用。迄今为止,在工业应用和矿物加工中,光学分类已经广泛研究。然而,过程优化需要基于现实生活排序应用更好地了解定性和定量数字。 在本研究中,关系研究了重力型和可见光响应传感器安装光学分类器(VIS分拣机)之间的进给速率和分离效率之间。除了进料速率之外,还讨论了粒度对分离性能的影响。实验室研究包括菱镁矿,石英,褐煤,赤铁矿,铜和金矿石样品的材料,样品制备和光学分选测试。用不同尺寸级分以不同进料速率进行的实验研究随后用ROC(接收机操作特性)图表评估结果。恢复,等级和容量指标对于定义光学分选效率非常重要。或者,ROCS突出显示缺失的粒子和误报率,用于表征设备/操作的设定点和可检测性。在用石英和菱镁矿样品进行的测试中,产品中的有价值(白色)和非有价值(有色)颗粒的%重量直接用于表达与ROC光学分选的性能。另外,使用%Fe含量,无干灰含量,铜回收和%金回收数字来定义赤铁矿,褐煤,铜和金矿石样品的ROC参数。 结果表明,VIS型光学分拣机的性能主要取决于正确分选量的有价值和非宝贵颗粒。与根据进料速率,矿石类型和粒度进行分类性能的变化的评价一起。还讨论了含铜和金矿矿石的浓度,卤化物的浓度,褐煤和市场质量菱镁矿的干洗和具有VI型光学分拣机的石英分选应用。 突出显示 < CE:Abstract-SEC ID =“AS0010”View =“全部”> 调查了可见光响应光学分拣机(VIS分拣机)的性能。 Quartz ,菱镁矿,赤铁矿,褐煤,铜和金矿。 粒子之间具有高色对比的样本具有高分类效率。 排序效率随着相同馈电的粒度减小而降低。< / ce:para> 排序效率随着饲料速率的增加而降低。

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