孙铭阳, 韦鲁滨, 李阳, 等. 液固流化床分选机理研究[J]. 矿业科学学报, 2019, 4(2): 179-186.
引用本文: 孙铭阳, 韦鲁滨, 李阳, 等. 液固流化床分选机理研究[J]. 矿业科学学报, 2019, 4(2): 179-186.
Sun Mingyang, Wei Lubin, Li Yang, et al. Research on separation mechanism of liquid-solid fluidized bed separator[J]. Journal of Mining Science and Technology, 2019, 4(2): 179-186.
Citation: Sun Mingyang, Wei Lubin, Li Yang, et al. Research on separation mechanism of liquid-solid fluidized bed separator[J]. Journal of Mining Science and Technology, 2019, 4(2): 179-186.

液固流化床分选机理研究

Research on separation mechanism of liquid-solid fluidized bed separator

  • 摘要: 本文采用理论结合试验的方法探究了液固流化床分选机理。得到了液固流化床分选机内自生介质流化床层性质。以不同粒度石英砂为自生介质颗粒,研究了自生介质粒度对分选效果的影响。研究发现,自生介质粒度越细,能实现的分选效果越好。其中,0.15~0.20 mm石英砂床层的最小E。值为0.053;0.25~0.45 mm石英砂床层能达到的最小E。值增大到0.095。通过分析入料粒度分布和操作条件对分选效率的影响,认为控制入料粒度应从入料粒度范围和入料粒度下限两方面考虑。在某一床层压力设定值下,保持较小的上升水流速率,可减小粒度和形状对颗粒运动的影响,有利于床层维持较高的颗粒体积分数和有效密度,可提高分选效果。

     

    Abstract: Separation mechanism of liquid-solid fluidized bed separator (LSFBS) was studied by using theoretical analysis and experimental researches.Characteristics of autogenous medium fluidized bed in LSFBS were analyzed and the influence of autogenous medium size on the separation performance of ISFBS was studied , taking quartz particles of various sizes as autogenous medium.According to the separation results ,a better segregation could be achieved by using finer autogenous medium.Particularly , the optimum of Evalue of 0.15~0.2 mm quartz was 0.053 while that of 0.25~0.45 mm quartz increased to 0.095.Finally , the influence of size distribution of feed and operating conditions on the separation efficiency was analyzed.Reducing feed size range and enlarging lower-size limit of feed could improve the device performance.Under a certain bed pressure ,a smaller upward current velocity could generate a higher solid volume fraction and bed effective density.A smaller upward curent velocity could also decrease the influence of size and shape on the movement of particles.All of these changes could induce a better separation performance for LSFBS.

     

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