Study on Flooding Characteristics of Gas-agitated Disc and Doughnut Column
Received:December 11, 2024   Revised:December 12, 2024   Accepted:December 16, 2024      Published Online:February 18, 2025
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DOI:doi:10.20237/j.issn.1007-7545.2025.02.011
KeyWord:Flooding characteristics; Gas agitated; Disc and doughnut extraction column; Predictive correlation
                                
AuthorInstitution
Wang Chi 中国矿业大学国家煤加工与洁净化工程技术研究中心;中国矿业大学化工学院
Xu Dongbing 中国科学院过程工程研究所绿色过程与工程重点实验室
Chang Chao 中国科学院过程工程研究所绿色过程与工程重点实验室
Jiang Zichao 中国科学院过程工程研究所绿色过程与工程重点实验室
Tan Boren 中国科学院过程工程研究所绿色过程与工程重点实验室
Wang Chenye 中国科学院过程工程研究所绿色过程与工程重点实验室
Wang Yong 中国科学院过程工程研究所绿色过程与工程重点实验室
LiHuiquan 中国科学院过程工程研究所绿色过程与工程重点实验室
Zhao Zesen 中国科学院过程工程研究所绿色过程与工程重点实验室
Gui Xiahui 中国矿业大学国家煤加工与洁净化工程技术研究中心
Yang Jinaguo 中国矿业大学国家煤加工与洁净化工程技术研究中心
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Abstract:
      Extraction columns are favored in industrial separation fields such as similar metal separation and fine chemicals due to their advantages of strong continuity, high safety, and large throughput. The flooding characteristic is a critical parameter for the stable operation of extraction columns. The inherent reason for the flooding susceptibility of extraction columns is the ease of droplet breakup in low interfacial tension extraction systems. In this study, a novel gas stirring technique was employed, utilizing the kinetic energy of bubbles during their ascent and the weak drag force generated by the uneven flow field to replace traditional stirring and pulsed energy forms for droplet breakup. Three extraction systems with different interfacial tensions were selected to investigate the flooding characteristics of the extraction column under gas stirring conditions. It was found that the flooding velocity of the dispersed phase gradually decreased with the increase in gas velocity and continuous phase velocity, and the degree of decrease was higher in systems with high interfacial tension than in those with low interfacial tension. Based on the experimental values, a predictive correlation for flooding velocity with a prediction error of 10.05% was proposed through least squares regression analysis, providing a reference for the design and scale-up of subsequent gas-stirred extraction columns.
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