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EVOLUTION OF STRUCTURAL AND PHYSICAL PROPERTIES OF URANIUM- ORE AGGLOMERATES DURING HEAP LEACHING

机译:堆浸渍过程中铀矿石凝聚物结构和物理性质的演变

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Heap leaching is commonly used to process low grade ores. However, ores containing fine particles and clays cause often clogging problems within heaps. To solve this problem, copper, nickel and uranium extractive industries use agglomeration. This process consists in gathering fine particles in order to adjust the ore particle size distribution. This allows improving the heap permeability and reducing fine migration during leaching. As agglomerates quality influences heap leaching efficiency, many quality tests have been performed. However they mostly focus on a column of agglomerates, and the influence of agglomerates structure on heap leaching remains poorly understood. The current study is an attempt to characterise the structure and the porosity of agglomerates and their evolution during leaching.For this study, a low grade uranium ore from Niger has been used for agglomeration. The ore has been agglomerated using sulfuric acid as binder. Then, agglomerates have been leached during 10 days with sulfuric acid at 10g/L. Evolution of structural and physical properties of uranium-ore agglomerates during heap leaching has been investigated for different operating conditions: agglomerates size, flow rate or acid concentration.Prior to heap leaching, X-ray tomography and SEM analysis highlighted that agglomerates are composed by the coalescence and layering of micro-agglomerates. These are composed by phyllosilicates (especially muscovite and kaolinite) coating a nucleus (mostly quartz or feldspar). One can also observe an aluminous silicate matrix phase around some nuclei. This might come from the reaction between phyllosilicates and the binder. Moreover, such a structure is the cause of the initial low connected porosity of the agglomerates (between 3 and 7%) which can be measured by mercury intrusion porosimetry (MIP). A positive correlation between the porosity and the agglomerate sizes has been exhibited.A combined MIP-SEM analysis carried out on agglomerates after 10 days of leaching revealed that the process improved the connected porosity of agglomerates by creating new mesopores. These are mostly located around micro-agglomerates, as showed with SEM analyses and they may come from the leaching of the aluminous silicate matrix phase during the process. X-ray tomography corroborates these observations and the increase of connected porosity by about a factor 2. This allows a better diffusion of the leaching solution within the agglomerates.
机译:堆浸出通常用于处理低等级的矿石。然而,含有细颗粒和粘土的矿石导致堆内的问题经常堵塞问题。要解决这个问题,铜,镍和铀的提取行业使用附聚。该过程包括收集细颗粒以调节矿石粒度分布。这允许在浸出过程中提高堆渗透率和减少细迁移。由于凝聚物质量影响堆浸出效率,已经进行了许多质量测试。然而,它们主要关注一栏的凝聚,并且聚集结构对堆浸出的影响仍然很清楚。目前的研究是试图在浸出过程中表征附聚物的结构和孔隙率及其进化。本研究,来自尼日尔的低级铀矿以用于聚集。矿石使用硫酸作为粘合剂凝聚。然后,在10天内用10g / L的硫酸浸出附聚物。对堆浸出过程中的铀矿凝聚物的结构和物理性质的演变已经研究了不同的操作条件:附聚物尺寸,流速或酸浓度。堆浸出,X射线断层扫描和SEM分析突出显示附聚物由微凝聚的聚结和分层。这些由Phyllosilicates(特别是Muscovite和Koolinite)涂覆核(大多数石英或长石)。人们还可以观察到一些核周围的硅酸硅基阶段。这可能来自文化硅酸盐和粘合剂之间的反应。此外,这种结构是可以通过汞侵入孔孢子蛋白(MIP)测量的附聚物(3至7%)的初始低连接孔隙率的原因。已经表现出孔隙率和附聚尺寸之间的正相关。在浸出10天后在附聚物上进行的MIP-SEM分析显示,通过产生新的中孔,该方法通过产生新的中孔来改善附聚物的连接孔隙率。这些主要位于微凝聚物周围,如SEM分析显示,它们可能来自该方法期间铝硅酸盐基质相的浸出。 X射线断层扫描证实了这些观察结果和连接孔隙率的增加约率2.这允许浸出溶液在附聚物内更好地扩散。

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