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In the oxygen injection process of "CO2 + O2" in-situ leaching uranium, oxygen is prone to bubble coalescence and flow regime deterioration during long distance transportation, which in turn induces gas blockage, resulting in intermittent liquid injection, and decrease in leaching efficiency. To reveal the mechanism by which bubble size evolution regulates flow stability, this study designed a visualization experimental system for static mixers used in in-situ leaching uranium. Particle shadow velocimetry (PSV) was employed in combination with multi-stage image processing techniques—including Gaussian filtering, adaptive threshold segmentation, and morphological reconstruction. To achieve high resolution in-situ observation of micro bubble size, distribution and dynamic behavior. The results show that as oxygen concentration increase from 15 mg/L to 700 mg/L, microbubble diameter (d50) rise from 528 μm to 823 μm. Conversely, increasing water flow rate from 0.5 m3/h to 2.0 m3/h, microbubble diameter (d 50) reduce from 945 μm to 412 μm, indicating significantly enhance dispersion capability. With rising oxygen concentration, the flow patterns evolve sequentially from fog flow, through bubble flow and transition flow, to slug flow. In the slug flow pattern, the big bubbles periodically collapse, leading to frequent gas blockage issues on-site. This study demonstrates that the proposed image processing method provides highly reliable data for microbubble size distribution, coalescence frequency, and flow pattern identification, offering a solid foundation for process optimization and control of oxygen injection in in-situ leaching uranium.
, authors=Junjie DANG, Mingqian CAO, Ya'an WANG, Yuan YUAN, authorsList=Junjie DANG, Mingqian CAO, Ya'an WANG, Yuan YUAN, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1311360788263174831, articleId=1311360787671777965, tenantId=1146029695717560320, journalId=1146123346816638986, language=CN, title=地浸采铀注氧作业的气泡行为与流型演变研究——以静态混合器为例, columnId=1175805041991631542, journalTitle=铀矿冶, columnName=开采·选冶, runingTitle=null, highlight=null, articleAbstract=
在“CO2+O2”原地浸出采铀工艺的注氧过程中,氧气在长距离输送过程中易发生气泡聚并,导致流型恶化,进而诱发气堵,造成注液中断和浸出效率下降。为揭示气泡行为与流型演变规律,本研究针对地浸采铀中使用的静态混合器,设计了可视化试验系统,采用粒子阴影测速法,结合高斯滤波、自适应阈值分割及形态学重构等图像处理技术,实现对微气泡粒径、分布与动态行为的高分辨率原位观测。结果表明,当加氧质量浓度从15 mg/L增加至700 mg/L时,微气泡粒径(d50)由528 μm增至823 μm;当注液流量从0.5 cm3/h提升至2.0 m3/h时,微气泡粒径从945 μm降至412 μm。随着加氧质量浓度提高,流型演化呈现从雾状流、泡状流、过渡流到弹状流的变化规律。在弹状流型下,大气泡周期性溃散,导致现场气堵问题频发,在注氧作业中应尽量避免该流型。本研究的图像处理方法可为微气泡粒径、聚并频率与流型识别提供高可靠性数据支持,为地浸采铀注氧作业与过程调控提供支撑。
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