空气重介质振动流化床入料特性与操作参数的协同研究
发布时间：2018-11-19 18:23
【摘要】：入料物性直接影响空气重介质流化床的分选效果,为此进行了不同粒度和不同可选性煤样的分选特性研究,考察了抛射强度、风量与入料特性的协同作用。结果表明:粒级对分选精度的影响显著,随粒级减小,Ep值变大,50~25,25~13和13~6 mm粒级难选煤最小Ep值分别为0.06,0.07和0.11 g/cm3;可选性对Ep值略有影响,50~25 mm粒级不同可选性煤样,易选、中等可选和较难选煤样最小Ep值分别为0.035,0.040和0.045 g/cm3。通过优化风量和抛射强度,分选精度明显提高,不同粒级或可选性煤样优化后的风量和抛射强度相近,均分别在140 m3/h和1.46左右。分析了气泡生成频率与床体振动频率的关系,揭示了振动改善流态化分选的作用机理。
[Abstract]:The physical properties of feedstock directly affect the separation effect of air-heavy medium fluidized bed. The separation characteristics of coal samples with different granularity and selectivity are studied. The synergistic effects of ejection intensity, air volume and feed characteristics are investigated. The results show that the particle level has a significant effect on the separation accuracy, and the Ep value increases with the decrease of the particle size. The minimum Ep values of 50 ~ 25 ~ 2513 and 13 ~ (6) mm are 0.06g / cm ~ 3 and 0.11 g / cm ~ 3, respectively. The minimum Ep values of 50 ~ 25 mm coal samples with different grain-size, easy to be selected, medium and difficult to be separated were 0.035 ~ 0.040 and 0.045 g / cm ~ (-3), respectively. Through the optimization of air volume and ejection intensity, the sorting accuracy is obviously improved. The air volume and ejection intensity of coal samples with different particle size or selectivity are close to that of 140m3 / h and 1.46, respectively. The relationship between bubble formation frequency and bed vibration frequency is analyzed, and the mechanism of vibration improving fluidization sorting is revealed.
【作者单位】： 中国矿业大学(北京)化学与环境工程学院;
【基金】：国家自然科学基金资助项目(51174214) 国家重点基础研究发展计划(973)资助项目(2012CB214904) 高等学校博士学科点专项科研基金资助项目(20120023110017)
【分类号】：TD94
，
本文编号：2343062
[Abstract]:The physical properties of feedstock directly affect the separation effect of air-heavy medium fluidized bed. The separation characteristics of coal samples with different granularity and selectivity are studied. The synergistic effects of ejection intensity, air volume and feed characteristics are investigated. The results show that the particle level has a significant effect on the separation accuracy, and the Ep value increases with the decrease of the particle size. The minimum Ep values of 50 ~ 25 ~ 2513 and 13 ~ (6) mm are 0.06g / cm ~ 3 and 0.11 g / cm ~ 3, respectively. The minimum Ep values of 50 ~ 25 mm coal samples with different grain-size, easy to be selected, medium and difficult to be separated were 0.035 ~ 0.040 and 0.045 g / cm ~ (-3), respectively. Through the optimization of air volume and ejection intensity, the sorting accuracy is obviously improved. The air volume and ejection intensity of coal samples with different particle size or selectivity are close to that of 140m3 / h and 1.46, respectively. The relationship between bubble formation frequency and bed vibration frequency is analyzed, and the mechanism of vibration improving fluidization sorting is revealed.
【作者单位】： 中国矿业大学(北京)化学与环境工程学院;
【基金】：国家自然科学基金资助项目(51174214) 国家重点基础研究发展计划(973)资助项目(2012CB214904) 高等学校博士学科点专项科研基金资助项目(20120023110017)
【分类号】：TD94
，
本文编号：2343062
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