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Coarse Beneficiation of Trona Ore by Sensor-Based Sorting
Mining, Metallurgy & Exploration ( IF 1.9 ) Pub Date : 2022-08-09 , DOI: 10.1007/s42461-022-00665-2
Nicholas Bellusci , Patrick R. Taylor , D. Erik Spiller , Victor Braman

Approximately 30% of the world’s production of soda ash comes from mining and processing of naturally occurring deposits of sodium carbonate containing species. Of these deposits, the largest and most profitable have been the trona beds found near Green River, Wyoming. Processing of trona ores is water-energy intensive, particularly due to unit operations of calcination, dissolution, and evaporative crystallization to wield a high-quality dense soda ash product and reject the insoluble gangue species, primarily in the form of oil shale. However, it is speculated that the glass-manufacturing industry, the largest consumer of soda ash, may be able to use a product of a lower grade and consistent level of the insoluble constituents. Thus, pre-concentration of trona ore was investigated using sensor-based sorting, to produce a beneficiated trona stream that would be fed to calcination. The study encompassed preparation of a run-of-mine (ROM) Green River ore sample, selection of 25–75-mm-sized specimens, imaging of the specimens by x-ray transmission (XRT), color, and laser-induced fluorescence (LIF)-based sensors, insoluble analysis of the specimens, and a bench-scale sorting test. Results of the study established that a correlation between the color of the individual ore particles and their insoluble content existed and that a surface detection-based sensor, particularly LIF, was apparently more suitable than XRT to produce a beneficiated trona stream. The bench-scale sorting test demonstrated that a 65% separation efficiency and a 70% recovery of trona could be achieved.



中文翻译:

通过基于传感器的分选对天然碱矿石进行粗选

世界上大约 30% 的纯碱生产来自天然存在的碳酸钠沉积物的开采和加工。在这些矿床中,最大和最有利可图的是在怀俄明州格林河附近发现的天然碱床。天然碱矿石的加工是水能密集型的,特别是由于煅烧、溶解和蒸发结晶的单元操作以使用高质量的重质纯碱产品并拒绝主要以油页岩形式存在的不溶脉石物种。然而,据推测,作为苏打灰最大消费者的玻璃制造行业可能能够使用低等级且不溶成分含量稳定的产品。因此,使用基于传感器的分选研究了天然碱矿石的预浓缩,生产将被送入煅烧的精选天然碱流。该研究包括准备原矿 (ROM) 绿河矿石样品、选择 25-75 毫米大小的样本、通过 X 射线透射 (XRT)、颜色和激光诱导荧光对样本进行成像基于 (LIF) 的传感器、样品的不溶性分析和台架规模的分选测试。研究结果表明,单个矿石颗粒的颜色与其不溶物含量之间存在相关性,并且基于表面检测的传感器,特别是 LIF,显然比 XRT 更适合生产精选天然碱流。小型分选试验表明,可以实现 65% 的分离效率和 70% 的天然碱回收率。该研究包括准备原矿 (ROM) 绿河矿石样品、选择 25-75 毫米大小的样本、通过 X 射线透射 (XRT)、颜色和激光诱导荧光对样本进行成像基于 (LIF) 的传感器、样品的不溶性分析和台架规模的分选测试。研究结果表明,单个矿石颗粒的颜色与其不溶物含量之间存在相关性,并且基于表面检测的传感器,特别是 LIF,显然比 XRT 更适合生产精选天然碱流。小型分选试验表明,可以实现 65% 的分离效率和 70% 的天然碱回收率。该研究包括准备原矿 (ROM) 绿河矿石样品、选择 25-75 毫米大小的样本、通过 X 射线透射 (XRT)、颜色和激光诱导荧光对样本进行成像基于 (LIF) 的传感器、样品的不溶性分析和台架规模的分选测试。研究结果表明,单个矿石颗粒的颜色与其不溶物含量之间存在相关性,并且基于表面检测的传感器,特别是 LIF,显然比 XRT 更适合生产精选天然碱流。小型分选试验表明,可以实现 65% 的分离效率和 70% 的天然碱回收率。和基于激光诱导荧光 (LIF) 的传感器、样品的不溶性分析和小规模分选测试。研究结果表明,单个矿石颗粒的颜色与其不溶物含量之间存在相关性,并且基于表面检测的传感器,特别是 LIF,显然比 XRT 更适合生产精选天然碱流。小型分选试验表明,可以实现 65% 的分离效率和 70% 的天然碱回收率。和基于激光诱导荧光 (LIF) 的传感器、样品的不溶性分析和小规模分选测试。研究结果表明,单个矿石颗粒的颜色与其不溶物含量之间存在相关性,并且基于表面检测的传感器,特别是 LIF,显然比 XRT 更适合生产精选天然碱流。小型分选试验表明,可以实现 65% 的分离效率和 70% 的天然碱回收率。显然比 XRT 更适合生产精选天然碱流。小型分选试验表明,可以实现 65% 的分离效率和 70% 的天然碱回收率。显然比 XRT 更适合生产精选天然碱流。小型分选试验表明,可以实现 65% 的分离效率和 70% 的天然碱回收率。

更新日期:2022-08-11
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