陈淑云, 母长春, 张军, 邵明, 于大伟, 姜坤坤, 董良. 加重质选择对气固流态化分选中气泡运动行为的影响研究[J]. 选煤技术, 2023, 51(1): 24-29. DOI: 10.16447/j.cnki.cpt.2023.01.004
    引用本文: 陈淑云, 母长春, 张军, 邵明, 于大伟, 姜坤坤, 董良. 加重质选择对气固流态化分选中气泡运动行为的影响研究[J]. 选煤技术, 2023, 51(1): 24-29. DOI: 10.16447/j.cnki.cpt.2023.01.004
    CHEN Shuyun, MU Changchun, ZHANG Jun, SHAO Ming, YU Dawei, JIANG Kunkun, DONG Liang. Study of influence of selection of medium solids on motion behavior of air bubbles in gas-solid fluidized-bed separation process[J]. Coal Preparation Technology, 2023, 51(1): 24-29. DOI: 10.16447/j.cnki.cpt.2023.01.004
    Citation: CHEN Shuyun, MU Changchun, ZHANG Jun, SHAO Ming, YU Dawei, JIANG Kunkun, DONG Liang. Study of influence of selection of medium solids on motion behavior of air bubbles in gas-solid fluidized-bed separation process[J]. Coal Preparation Technology, 2023, 51(1): 24-29. DOI: 10.16447/j.cnki.cpt.2023.01.004

    加重质选择对气固流态化分选中气泡运动行为的影响研究

    Study of influence of selection of medium solids on motion behavior of air bubbles in gas-solid fluidized-bed separation process

    • 摘要: 气固流态化干法分选技术具有分选精度较高的优势,已成为干法分选技术的研究热点之一,气泡结构的稳定调控是该项技术的核心难题之一。为探索加重质选择对气泡运动行为的影响,选择了不同种类的加重质,分析了不同加重质流化床中气泡的分布特征,基于不同加重质流化过程气泡运动的生长曲线,分析了气泡运动对床层密度波动的影响,并进一步建立了气泡生长预测模型。对比结果表明,该模型具有较高的预测精度,为提高颗粒流化质量,避免气泡兼并对床层密度的影响提供了理论依据。

       

      Abstract: Gas-solid fluidized-bed dry separation technology offers the merit of being high in separation accuracy and has become one of the hot spots in research of dry separation technologies. How to keep the air bubble structure stably regulated and controlled remains one of the core problems. In order to explore the influence of selection of medium solids on motion behavior of air bubbles, different types of medium solids are selected for use, with an aim to analyze the characteristics of distribution of air bubbles in fluidized bed and the growth curve of motion of bubbles in medium solids fluidization process at the use of each type of medium solids, as well as the influence on fluctuation of bed density exerted by motion of bubbles. Based on results of analysis, an air-bubble growth prediction model is developed. Result of comparison shows the model has a high prediction accuracy. The study made in the paper provides a theoretical basis for improvement of particle fluidization process and elimination of the adverse effect on bed density produced by merging of air bubbles.

       

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