| 压力脉动法预测硅粉颗粒最小流化速度的实验 |
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| 引用本文： | 梁卫华,王金福,韩禄,王光润,金涌.压力脉动法预测硅粉颗粒最小流化速度的实验[J].过程工程学报,2002,2(1):1-6. |
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| 作者姓名： | 梁卫华 王金福 韩禄 王光润 金涌 |
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| 作者单位： | 清华大学化工系,北京100084 |
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| 摘 要： | 应用压力传感器研究了不同筛分粒径的硅粉的流化性质，证实流化床层的压力脉动标准方差σp随着表观气速的增加而线性增大, 根据σp=0的条件即可确定流化床的初始流化气速Umf. 此Umf与传统压降变化法得到的实验结果基本一致. 对测得的不同筛分粒级的硅粉的Umf进行拟合，得到了Umf与相应粒级平均粒径的关联式Umf=0.014e10(d–0.28)–0.012e–10(d–0.28)+0.065. 对双粒级复配混合颗粒体系的σp进行的实验研究发现，其σp介于相关单粒级体系的σp之间，并且粗颗粒组份的比例对σp的影响较大.
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| 关 键 词： | 压力脉动 初始流化速度 硅粉 双粒级复配 |
| 文章编号： | 1009-606X(2002)01-0001-06 |
| 修稿时间： | 2001年7月16日 |
Prediction of Minimum Fluidization Velocity of Silicon Particle System with the Pressure Fluctuation Method |
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| LIANG Wei-hua,WANG Jin-fu,HAN Lu,WANG Guang-run,JIN Yong.Prediction of Minimum Fluidization Velocity of Silicon Particle System with the Pressure Fluctuation Method[J].Chinese Journal of Process Engineering,2002,2(1):1-6. |
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| Authors: | LIANG Wei-hua WANG Jin-fu HAN Lu WANG Guang-run JIN Yong |
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| Abstract: | Silicon powder is an important raw material for direct synthesis of dimethyl-dichlorosilane in a fluidized bed reactor. It has wide size distribution and non-spherical shape, and it is necessary to investigate the silicon powder fluidization properties. A simple method has been proposed to predict the minimum fluidization velocity Umf from the pressure fluctuation of single and binary particle systems sieve-screened from silicon powders. The standarddeviation of pressure fluctuations is found to increase linearly with the increase of the superficial gas velocity. Umfcan be determined by extrapolation to the condition of zero standard deviation. Umf determined by the proposed method agrees well with that by the classical method from the pressure drop changes. Correlation between Umf and particle diameter dp of silicon particles has been obtained as: 065.0012.0014.0)28.0(10)28.0(10mfpp+-=---ddeeU. The pressure fluctuations of a binary particle system can be predicted from the pressure fluctuations ofcomponent particle fractions. The predicted pressure fluctuations can be used further to predict Umf of other binary silicon particle systems. |
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| Keywords: | pressure fluctuation minimum fluidization velocity silicon powder binary particle system |
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