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Development of an On-Site Mineralogy Solution for Metallurgists

机译:用于冶金学家的现场矿物质解决方案

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Ore mineralogy and texture are primary variables controlling mill recovery efficiency in flotation plants. However, tracking daily variations of key mineralogical characteristics such as species-byspecies liberation is not possible with current on stream analysers and assay lab techniques. In addition, traditional plant mineralogical analysis limited by long data turn-around times from central analysis laboratories typically provides only a time-averaged view of mill performance, e.g. by means of monthly composite feed, con or tailings analysis. This paper presents the results of a development and first field test of an on-site Automated Mineralogy solution (MLA or QEMSCAN) with the specific goal of monitoring recovery variation, ore quality and flotation performance on a mineral species-by-species and day-by-day basis, from up to twelve million direct particle observations per month. The trial was performed at a Pb/Zn-Ag operation in the US from November 2012 to April 2013. The focus of the study was three-fold: 1.to validate the robustness of equipment and operational procedures for daily use by mine site technicians at a remote mine site 2.to develop a methodology to boil down hundred-thousands of Automated Mineralogy particle data from size-by-size con and tailings samples to a couple of numbers meaningful to chief metallurgists 3.to monitor recovery trend changes and correlate these to changes in the feed properties and/or flotation efficiency. The study focused primarily on the Pb/Ag rougher-concentrator circuit. Ten polished blocks of two and three size fractions of con and tailings were prepared by mine site technicians during a daily twelve hour shift. Eight hours of daily measurement time by the instrument revealed an estimate of the day’s recovery performance, ore quality and flotation performance for Freibergite (Ag-species) and Galena (Pb-species), within 36 hours from initial sampling. Data quality was assessed by means of calculated versus measured assay reconciliation. Cumulative sum curves of recovery performance, ore quality and flotation performance reveal trend changes with a frequency of 1 to 4 weeks. These were correlated to cumulative sum curves of e.g. locked and slimed particle classes of the mineral species of interest, attempting to identify a possible root cause of recovery performance trend changes. Systematic over-grinding and flotation chemistry issues were the primary causes of below average plant operations during the trial.
机译:矿石矿物学和纹理是主要变量控制在浮选工厂磨机回收效率。然而,跟踪的关键矿物学特征如物种byspecies解放日变化是不可能的上流分析仪和分析实验室技术电流。此外,通过长的数据限于传统的植物矿物学分析周转从中央分析实验室时间通常只提供的磨性能,例如,基于时间平均图通过每月复合饲料,CON或尾矿分析来检定。本文提出一种现场自动化解决方案矿物学(MLA或QEMSCAN)与监控上的矿物种类按种类和day-恢复的变化,矿石质量和浮选性能的具体目标的发展,第一场测试的结果通过一天的基础上,从每月多达十二万个直接颗粒的意见。该试验是在一个铅/锌 - 银操作,在美国进行的,从2012年11月至2013年四月研究的重点是三方面:通过我的现场技术人员1.to验证设备和日常使用的操作流程的稳健性在远程矿场2.to发展的方法,从尺寸的大小CON和尾矿样品归结百十万自动化矿物粒子数据的一对夫妇有意义的首席冶金学家3.to显示器复苏趋势的变化和关联的数字这些在原料的特性和/或浮选效率的变化。该研究主要集中在铅/银粗糙集中器电路上。十抛光每天12小时变速期间煤矿现场技术人员准备CON和尾矿的两个和三个大小分块。八个小时的由仪器每日测量时间显示当天的恢复性能的估计,矿石黝(银物种)和方铅矿(铅种)的品质和浮选性能,从最初的取样36小时内。数据质量通过计算相对于测得的测定和解手段评估。的恢复性能,矿石的质量和浮选性能累加和曲线揭示了趋势的变化为1至4周的频率。将这些相关的例如累积和曲线锁定和slimed感兴趣的矿物种类的颗粒类,尝试识别的恢复性能趋势的变化的可能的根本原因。系统过粉磨和浮选化学问题是在审讯过程中的低于平均水平的工厂运营的首要原因。

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