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工艺矿物学参数自动分析系统在铜矿浮选尾矿银赋存特征研究中的应用

Application of a SEM-EDS-Based Automated Process Mineralogy Analyzing System on the Occurrence State of Silver in Copper Ore Flotation Tailings

  • 摘要: 元素赋存状态及工艺矿物学特征是决定其选矿工艺及回收指标的关键因素,对指导矿产资源高效综合回收利用有重要意义。由于银矿物种类繁多且含量低、粒度细小不易识别,传统人为鉴别目标矿物并统计工艺矿物学参数的方法在银的赋存特征研究方面存在局限性,制约了资源高效综合利用。本文利用基于扫描电子显微镜(SEM)和X射线能谱仪(EDS)的工艺矿物学参数自动分析系统(BPMA)对某铜矿浮选尾矿样品(Ag 41.96µg/g,Cu 0.44%)进行矿物学分析,展示其在尾矿样品中铜和银的赋存状态及工艺矿物学特征研究中的具体应用。结果表明:样品中铜矿物主要为辉铜矿和斑铜矿;铜硫化物及其集合体的嵌布粒度细微且解离程度低,是影响铜回收的主要矿物学因素。样品中银主要以独立矿物的形式存在,(含)银矿物有自然银、辉银矿/螺状硫银矿、硒银矿、硒铜银矿、硫铜银矿和含银辉铜矿,银在各(含)银矿物中的分布率分别为95.62%、2.07%、1.33%、0.15%、0.80%和0.03%;银矿物嵌布粒度不均匀,粗粒(>74µm)、中粒(74~37µm)、细粒(37~10µm)、微粒(<10µm)银矿物的占有率分别为32.25%、30.35%、21.44%和15.95%;银矿物的解离程度较高,单体含量高达88.28%,可采用浮选法与铜硫化物一起回收。该研究为提高资源的选矿回收率提供了矿物学依据,同时采用的BPMA & SEM-EDS分析方法为矿物种类复杂、含量低、粒度细小的稀贵金属元素赋存状态及工艺矿物学研究提供了一种技术借鉴。

     

    Abstract: The silver occurrence state and process mineralogical characteristics are critical to its beneficiation process and recovery indicators, which can be used for assisting in process development, plant design, and improvement of silver recovery. In order to define the occurrence state of silver in copper ore flotation tailings with low-grade Ag 41.96g/g & Cu 0.44%, BGRIMM process mineralogy analyzing system (BPMA) with version 2.0 BPMA software, scanning electron microscopy (SEM) and energy dispersive X-ray spectrometer (EDS) were applied to investigate the copper mineralogical characteristics and silver occurrence state of the flotation tailings. The copper minerals in the tailings are mainly fine-grained and poorly liberated copper sulfide minerals; the silver mainly occurs as independent silver minerals, with high liberation and non-uniform grain size. The analytical results show that the BPMA & SEM-EDS in situ analysis method can serve as a technical reference for the study of the occurrence state and process mineralogy of rare precious metal elements. The BRIEF REPORT is available for this paper at http://www.ykcs.ac.cn/en/article/doi/10.15898/j.ykcs.202310250165.

     

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