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PREDICTION OF MINERAL PROCESSING BEHAVIOR OF BAUXITE ORES BY XRD CLUSTER ANALYSIS

机译:XRD聚类分析预测铝土矿矿石矿物加工行为

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The implementation of X-ray diffraction (XRD) cluster analysis in support of mineral exploration and mining operations has been highlighted in recent ore characterization and geometallurgical studies. This tool enables geological domains or ore types to be classified by distinguishing sample clusters with distinct mineralogical compositions and their potential implications in mineral exploration and/or processing behavior without the need for deeper XRD expertise. In this study, 69 bauxite samples from Porto Trombetas, Brazil were classified by cluster analysis. Results led to six groups and their subgroups, which correspond to the different geological weathering horizons of bauxite formation, each with different gibbsite, clay mineral and iron bearing mineral content. Scrubbing, size classification and mineral separations were conducted for each sample. The results demonstrated that samples from the same cluster present similar chemical and mineralogical compositions as well as an equivalent behavior on the mineral separation assays.
机译:在近期矿石表征和几何冶金研究中突出了X射线衍射(XRD)聚类分析的实施,以矿物勘探和采矿业务突出显示。此工具使地质结构域或矿石类型通过区分具有不同矿物组合物和它们在矿物勘探和/或处理行为的潜在影响样本聚类,而不需要更深的XRD专门知识进行分类。在这项研究中,通过集群分析,巴西普罗陀龙格拉斯的69个铝土矿样本。结果导致了六组及其亚组,对应于铝土矿地层不同的地质风化视野,每种铝土矿地层,各自具有不同的GIBBEITE,粘土矿物质和铁轴承矿物质含量。对每个样品进行擦洗,尺寸分类和矿物分离。结果表明,来自相同簇的样品存在类似的化学和矿物学组合物以及矿物分离测定上的等同行为。

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