...
首页> 外文期刊>Minerals Engineering >Effects of process history on the surface morphology of uranium ore concentrates extracted from ore
【24h】

Effects of process history on the surface morphology of uranium ore concentrates extracted from ore

机译:过程史对矿石中铀矿石浓缩物表面形态的影响

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The effects of process history on the particle morphology of uranium ore concentrates (UOC) synthesized from natural uranium ores were investigated. A purified UOC was extracted from a uranium-rich ore by sulfuric acid leaching and purified by two commercial solvent extraction processes: the Dapex process using di-(2-ethylhexyl) phosphoric acid (DEHPA), and the Amex process using Alamine degrees 336. The UOC from either route was precipitated from its respective strip solution by ammonia and calcined. Powder X-ray diffraction (P-XRD) was used to confirm the crystallography of the UOC; while Rietveld refinement was performed for quantification of U oxide phase composition. Inductively coupled plasma - mass spectrometry (ICP-MS) was used to quantify impurity concentrations of the calcined material. As expected, different impurities were present due to processing via the Dapex and Amex process. To further correlate the impurities to the process history, particle morphology was quantified from scanning electron microscopy (SEM) micrographs using the MAMA segmentation software. In addition, a deep neural network was trained on the SEM images to distinguish between process histories. The results provide a real-world representation of how particle morphology will likely change based on processing at commercial facilities as opposed to high purity material experiments in a laboratory setting.
机译:研究了过程史对从天然铀矿石中合成的铀矿石浓缩物(UOC)粒子形态的影响。通过硫酸浸出从富含铀的矿石中萃取纯化的uoc,并通过两种商业溶剂萃取方法纯化:使用二甲基(2-乙基己基)磷酸(DEHPA)和使用alamine 336的AMEX工艺纯化。通过氨并通过氨和煅烧从其各自的条带溶液中沉淀出UOC。粉末X射线衍射(P-XRD)用于确认uoc的晶体学;虽然进行了RIETVELD细化以进行U氧化物相组合物的定量。电感耦合等离子体 - 质谱(ICP-MS)用于量化煅烧材料的杂质浓度。正如预期的那样,由于通过DAPEX和AMEX过程处理,存在不同的杂质。为了进一步将杂质与过程历史相关联,使用MAMA分段软件从扫描电子显微镜(SEM)显微照片中量化颗粒形态。此外,在SEM图像上培训深度神经网络以区分过程历史。结果提供了基于商业设施的处理,而不是在实验室环境中的高纯度材料实验的过程中如何改变粒子形态的实际代表。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号