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A geometallurgical approach to enhance the gravity beneficiation of a strontium deposit

机译:一种改善锶矿床重力矿物的几何冶金方法

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Mineralogical analyses and QEMSCAN~R process simulation were used to characterize a heavy mineral concentrate of celestine originating from the Beni Mansour deposit in Algeria, and to model a gravity separation process to remove Sr-, Ba-, and Ca-bearing impurity phases. By analysing the partitioning of Ba, it was shown that the very small amounts of barite present in the sample could not account for the chemically derived Ba concentration in the total sample. It was therefore decided to investigate the presence of Ba that could replace the Sr in celestine in the form of solid solution substitution. It was found that some celestine particles displayed zonation textures with respect to Ba, resulting in difficulties in meaningfully reducing the Ba content without a significant loss of Sr. It was shown that the removal of all barite would lead to a minimum of 0.65 wt% Ba in the final celestine concentrate. Density separation modelling by QEMSCAN~R software showed that the 3.5-4,0 g/cm~3 density fraction had higher Sr and celestine concentrations, as high as 46.33 wt% Sr. In this particular fraction, the Ba and Ca contents could be reduced to 0.72 wt% and 0.49 wt% respectively.
机译:矿物学分析和QEMSCAN〜R过程模拟用于表征源自阿尔及利亚的Beni Mansour沉积物的肌肉内矿物质浓缩物,并模拟重力分离过程以除去Sr-,Ba-和Ca-uditure杂质相。通过分析BA的分区,显示出样品中存在的非常少量的重晶石不能考虑总样品中的化学衍生的BA浓度。因此,决定探讨BA的存在,该存在可以以固溶溶液替代的形式取代肌肉内的SR。发现一些Celestine粒子相对于BA显示区划纹理,导致有意义地降低BA含量而没有显着损失Sr的困难。结果表明,所有重晶石的去除将导致最少0.65wt%的Ba在最终的孤岛集中。 QEMScan〜R软件的密度分离建模显示,3.5-4,0g / cm〜3密度级分具有较高的Sr和Celestine浓度,高达46.33wt%Sr。在这种特定的分数中,BA和Ca含量可以是减少到0.72wt%和0.49wt%。

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