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机械化采矿的技术进步,一般都会提高原矿石中由脉石引起的贫化率。为了补偿与之相关的较高的运输和碎磨费用,对矿石进行适当的预先富集是很有必要的。在粗粒级范围内,尾矿可借助于重选、手选和传感器拣选等方法予以除去。传感器拣选法的研制,特别是在传感器和计算机系统方面,在最近十年间已取得了决定性的进展,因此现在已能经济地在很多领域中得到应用。例如,它已能替代重选法用于铂矿石的预先富集。并且,光电拣选法能用于回收由富含铂族金属的接触带颗粒组成的中矿。在这种情况下,待拣选的物料由彩色摄象机从两侧进行扫描,并且在可靠鉴定的基础上,就可借助压缩空气将那些不需要的颗粒排放出去。德国亚琛大学选矿系正在开展利用传感器拣选法分选铂矿石的可行性研究。
Technological advances in mechanized mining generally increase the rate of depletion caused by gangue in raw ore. In order to compensate for the associated higher shipping and crushing costs, it is necessary to pre-enrich the ore properly. Tailings can be removed in the coarse grain class by means of reselection, hand sorting and sensor sorting. The development of sensor picking methods, especially in sensor and computer systems, has made decisive progress in the last decade and is now economically feasible in many fields. For example, it has been able to replace the reselection method for the pre-enrichment of platinum ore. Also, the photo-sorting method can be used to recover medium-sized mines consisting of contact zone particles rich in platinum group metals. In this case, the material to be sorted is scanned from both sides by the color camera and compressed air is used to discharge the unwanted particles on the basis of reliable identification. Department of Mineral Processing, Aachen University, Germany Feasibility Study on Sorting Platinum Ore by Sensor Sorting Method.