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Automated Mineralogy: Applications to secondary resource characterisation

机译:自动矿物学:辅助资源特征的应用

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While FEI's MLA system is a staple in ore characterization and ore process assessment, automated mineralogy systems have been used for a multitude of other materials as well. When looking at ashes, the high amount of X-Ray amorphous components have prevented a thorough characterization using XRD. Wet chemistry testing has been employed to assess the elemental content of this material, but fails to reflect the nature of ashes. Previous studies of ashes have occasionally highlighted interesting elemental compositions, which encouraged recycling efforts. However, turning waste into a resource requires an intimate knowledge of these materials. Evaluating particles - their morphologies and compositions - of ashes is essential in devising treatments for a targeted approach. MLA, involving polished blocks of epoxy-stabilised ashes allow for analysing particle cross-sections instead of surfaces. Accompanying treatment steps by MLA sampling allows for studying particle morphology changes and assessing the performance of the routine.
机译:虽然FEI的MLA系统是矿石表征和矿石过程评估的主食,但是自动化矿物学系统也已用于多种其他材料。在灰烬时,使用XRD防止大量的X射线非晶组分阻止了彻底表征。湿化学测试已被用于评估该材料的元素含量,但不能反映灰烬的性质。以前的灰烬研究偶尔突出了有趣的元素组成,这鼓励回收努力。然而,将废物转化为资源需要对这些材料的密切知识。评估粒子 - 它们的形态和组合物 - 在设计靶向方法的处理方面是必不可少的。 MLA,涉及抛光的环氧稳定灰烬块允许分析颗粒横截面而不是表面。随附的处理步骤MLA采样允许研究颗粒形态变化并评估常规的性能。

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