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Surface Chemical Control in Sulfide Flotation: Principal Component Analysis of ToF-SIMS Data

机译:硫化物浮选中的表面化学控制:ToF-SIMS数据的主成分分析

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Surface chemical factors, including the balance of hydrophobic (e.g. collectors) and hydrophilic (e.g. oxidation products, precipitates) species, are major control determinants in flotation rates of specific minerals and therefore grade and recovery. There are a number of challenges involved with the surface analysis of different mineral phases from process streams in a flotation facility. The first is to collect samples that are representative of the process and retain their surface chemistry prior to introduction into the instrument. The second challenge in studying the surface chemistry of specific minerals is to find reliable methods of mineral phase recognition. In surface analysis of mineral particles, confident mineral selection can be difficult with many multi-metal minerals and with precipitated, adsorbed, reacted and contaminant species in the outermost molecular layers. The third challenge is to provide a statistical surface analysis of multiple grains of the same mineral. Methods to achieve these aims are described.Principal component analysis (PCA) of ToF-SIMS data provides improvement in phase recognition, particle selection and associated variations in surface species. Specific examples from both lab and plant operations, demonstrate that this technique can be utilized to differentiate surface chemical factors promoting (hydrophobic species) or inhibiting (hydrophilic species) flotation.A study of copper ion transfer (inadvertent activation) from chaicopyrite to pyrite and sphalerite clearly identified a statistical difference in copper intensities between the sphalerite and pyrite phases corresponding to their flotation response. The PCA analysis applied to concentrate and tails samples collected from the Inco Matte Concentrator demonstrated extensive CuOH and NiOH transfer between chalcocite and heazlewoodite minerals. The statistical analysis has been able to identify mechanisms controlling recovery and selectivity. High intensity conditioning (HIC) tests in which sphalerite was separated from a complex sulfide ore gave a 5% increase in the overall Zn recovery. The PCA/ToF-SIMS statistical analysis revealed the discriminating depressant action of adherent aluminosilicate (gangue) fine particles and adsorbed ions on the surface of sphalerite grains.HIC conditioning resulted in the removal of these gangue fines improving surface collector attachment efficiency.
机译:表面化学因素,包括疏水性(例如捕收剂)和亲水性(例如氧化产物,沉淀物)的平衡,是特定矿物浮选速率以及品位和回收率的主要控制决定因素。浮选设备中来自工艺流的不同矿物相的表面分析涉及许多挑战。首先是收集代表过程的样品,并在引入仪器之前保留其表面化学性质。研究特定矿物的表面化学的第二个挑战是找到可靠的矿物相识别方法。在矿物颗粒的表面分析中,对于许多多金属矿物以及最外层分子层中的沉淀,吸附,反应和污染物质,难以选择可靠的矿物是很困难的。第三个挑战是提供同一矿物的多个晶粒的统计表面分析。描述了实现这些目标的方法。ToF-SIMS数据的主成分分析(PCA)改善了相识别,颗粒选择以及相关的表面物种变化。实验室和工厂运营的具体实例表明,该技术可用于区分促进(疏水性)浮选或抑制(亲水性)浮选的表面化学因子。研究了铜离子从黄铜矿到黄铁矿和闪锌矿的铜离子转移(疏忽活化)的研究。清楚地确定了闪锌矿和黄铁矿相之间铜强度的统计差异,这与它们的浮选响应相对应。 PCA分析应用于从Inco Matte选矿厂收集的选矿和尾矿样品,结果表明,在方铁矿和杂木矿物之间进行了广泛的CuOH和NiOH转移。统计分析已经能够确定控制回收率和选择性的机制。高强度调理(HIC)测试中,从复杂的硫化矿中分离出闪锌矿使总的Zn回收率提高了5%。 PCA / ToF-SIMS统计分析表明,闪锌矿颗粒表面粘附的硅铝酸盐(煤ue石)细颗粒和吸附离子具有明显的抑制作用,HIC调节可去除这些煤石细粉,从而提高了表面捕集剂的附着效率。

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