Feasibility of density-based separation of Ce and Hf intermetallics in liquid Bi

被引:0
|
作者
Seo G. [1 ]
Shin H.-W. [2 ]
Park J. [1 ]
机构
[1] Department of Nuclear Engineering, Ulsan National Institute of Science and Technology, [44919] 50 UNIST-gil, Ulju-gun, Ulsan
[2] Korea Radioactive Waste Agency, [38218] 1138, Donghaean-ro, Munmudaewang-myeon, Gyeongju-si, Gyeongsangbuk-do
基金
新加坡国家研究基金会;
关键词
Bi-alloy; Density-based separation; Intermetallic compound; Pyroprocessing; Scanning electron microscope; Spatial distribution;
D O I
10.1016/j.chemosphere.2024.142882
中图分类号
学科分类号
摘要
Efficient separation of actinide elements from molten salts employed in pyroprocessing can significantly diminish the radiological hazards and oversight duration associated with spent nuclear fuel storage. The lanthanum content of waste salts is very high compared to actinides, leading to the co-electrodeposition of both groups of elements for conventional electrochemical techniques. Due to the difficulty in separating the two groups of elements, the feasibility of the density-based separation using liquid bismuth and intermetallics was explored. Hafnium was used as a stand-in for actinide elements with physical properties mirroring those of actinide-laden Bi–Hf intermetallics. Conversely, cerium was chosen to represent lanthanides. This study delved into the formation and spatial distribution of bismuth intermetallics under varying concentration ratios and cooling durations. Comprehensive characterization was achieved using scanning electron microscopy and energy-dispersive spectrometry. The analysis showed that Bi–Ce particles were formed and distributed in the upper layer of the Bi ingot, and Bi-(Ce, Hf) particles containing both Ce and Hf in the lower layer. The findings underscore the viability of density-based separation while highlighting the intricacies related to intermetallic coprecipitation. Continued investigations are essential to fully harness the potential of density-based separation. © 2024
引用
收藏
相关论文
共 50 条
  • [21] Fluidization Characteristics of a Fine Magnetite Powder Fluidized Bed for Density-Based Dry Separation of Coal
    Zhao, Yuemin
    Tang, Ligang
    Luo, Zhenfu
    Liang, Chuncheng
    Xing, Hongbo
    Duan, Chenlong
    Song, Shulei
    SEPARATION SCIENCE AND TECHNOLOGY, 2012, 47 (16) : 2256 - 2261
  • [22] Density-based fractionation of soil organic matter: effects of heavy liquid and heavy fraction washing
    Plaza, Cesar
    Giannetta, Beatrice
    Benavente, Iria
    Vischetti, Costantino
    Zaccone, Claudio
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [23] Density-based fractionation of soil organic matter: effects of heavy liquid and heavy fraction washing
    César Plaza
    Beatrice Giannetta
    Iria Benavente
    Costantino Vischetti
    Claudio Zaccone
    Scientific Reports, 9
  • [24] Density-Based Separation of Microparticles Using Magnetic Levitation Technology Integrated on Lensless Holographic Microscopy Platform
    Delikoyun, Kerem
    Yaman, Sena
    Tekin, H. Cumhur
    2019 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU), 2019, : 296 - 301
  • [25] "Axial" Magnetic Levitation Using Ring Magnets Enables Simple Density-Based Analysis, Separation, and Manipulation
    Ge, Shencheng
    Whitesides, George M.
    ANALYTICAL CHEMISTRY, 2018, 90 (20) : 12239 - 12245
  • [26] A density-based material balance equation for the analysis of liquid-rich natural gas systems
    Zhang, Miao
    Ayala, Luis F.
    JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2016, 6 (04) : 705 - 718
  • [27] Production data analysis for dual-porosity gas/liquid systems: A density-based approach
    Zhang, Zhenzihao
    Ayala, Luis F. H.
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2017, 46 : 143 - 159
  • [28] Single-Channel Blind Source Separation using Adaptive Mode Separation-Based Wavelet Transform and Density-Based Clustering with Sparse Reconstruction
    Mina Kemiha
    Abdellah Kacha
    Circuits, Systems, and Signal Processing, 2023, 42 : 5338 - 5357
  • [29] Single-Channel Blind Source Separation using Adaptive Mode Separation-Based Wavelet Transform and Density-Based Clustering with Sparse Reconstruction
    Kemiha, Mina
    Kacha, Abdellah
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2023, 42 (09) : 5338 - 5357
  • [30] Separation of Spacecraft Noise From Geomagnetic Field Observations Through Density-Based Cluster Analysis and Compressive Sensing
    Hoffmann, Alex Paul
    Moldwin, Mark B.
    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2022, 127 (09)