结块
扫描电子显微镜
核化学
化学
铀
镁
针状的
杂质
矿物学
分析化学(期刊)
材料科学
结晶学
冶金
微观结构
复合材料
色谱法
有机化学
作者
Aaron M. Chalifoux,Logan D. Gibb,Kimberly N. Wurth,T. J. Tenner,Tolga Taşdizen,Luther W. McDonald
出处
期刊:Radiochimica Acta
[R. Oldenbourg Verlag]
日期:2023-12-26
卷期号:112 (2): 73-84
被引量:2
标识
DOI:10.1515/ract-2023-0221
摘要
Abstract Morphological analysis of uranium materials has proven to be a key signature for nuclear forensic purposes. This study examines the morphological changes to magnesium diuranate (MDU) and sodium diuranate (SDU) during reduction in a 10 % hydrogen atmosphere with and without steam present. Impurity concentrations of the materials were also examined pre and post reduction using energy dispersive X-ray spectroscopy combined with scanning electron microscopy (SEM-EDX). The structures of the MDU, SDU, and UO x samples were analyzed using powder X-ray diffraction (p-XRD). Using this method, UO x from MDU was found to be a mixture of UO 2 , U 4 O 9 , and MgU 2 O 6 while UO x from SDU were combinations of UO 2 , U 4 O 9 , U 3 O 8 , and UO 3 . By SEM, the MDU and UO x from MDU had identical morphologies comprised of large agglomerates of rounded particles in an irregular pattern. SEM-EDX revealed pockets of high U and high Mg content distributed throughout the materials. The SDU and UO x from SDU had slightly different morphologies. The SDU consisted of massive agglomerates of platy sheets with rough surfaces. The UO x from SDU was comprised of massive agglomerates of acicular and sub-rounded particles that appeared slightly sintered. Backscatter images of SDU and related UO x materials showed sub-rounded dark spots indicating areas of high Na content, especially in UO x materials created in the presence of steam. SEM-EDX confirmed the presence of high sodium concentration spots in the SDU and UO x from SDU. Elemental compositions were found to not change between pre and post reduction of MDU and SDU indicating that reduction with or without steam does not affect Mg or Na concentrations. The identification of Mg and Na impurities using SEM analysis presents a readily accessible tool in nuclear material analysis with high Mg and Na impurities likely indicating processing via MDU or SDU, respectively. Machine learning using convolutional neural networks (CNNs) found that the MDU and SDU had unique morphologies compared to previous publications and that there are distinguishing features between materials created with and without steam.
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