Comparison of two-fluid and discrete particle modeling of gas-particle flows in micro fluidized beds
Comparison of two-fluid and discrete particle modeling of gas-particle flows in micro fluidized beds
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微流化床中气体-颗粒流的双流体和离散颗粒建模比较
DOI：
10.1016/j.powtec.2018.06.039
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发表时间：
2018-10
影响因子：
5.2
通讯作者：
Xiaoxing Liu
中科院分区：
文献类型：
--
作者：
Xu Liu;Jinlin Su;Yanan Qian;Lijie Cui;Xiaoxing Liu
通常认为，近壁区多孔区的形成是微床流态化延迟启动的主要机理之一。如果这种几何效应在床层流态化后仍然起主要作用，这将对双流体模型(TFM)在模拟微型流态化床中的应用提出挑战。本文以计算流体力学结合离散元方法(CFD-DEM)的模拟结果为基准数据，对这一问题进行了评估。通过TFM模拟，成功地捕捉到了CFD-DEM模拟所预测的延迟流态化和湍流流态化的提前开始。TFM和CFD-DEM模拟得到的固体体积分数和轴向速度的径向分布也吻合较好。这些结果表明，TFM可以很好地用于微床系统的建模。参数分析表明，TFM仿真结果与输入参数设置密切相关。TFM模拟预测的最小气泡速度与摩擦填充极限的取值密切相关。镜面系数对预测的固体流动行为有很大影响。
The formation of a more porous zone in the near wall region has been commonly suggested to be one of the main mechanisms of the delayed onset of fluidization in micro fluidized beds (MFBs). If such geometrical effect still plays a major role once the bed is fluidized, it will challenge the applications of Two-Fluid Model (TFM) to simulate micro fluidized beds. In this work this issue is assessed by taking the simulation results of the Computational Fluid Dynamics coupled with the Discrete Element Method (CFD-DEM) as the benchmark data. Both the delayed onset of fluidization and the advanced onset of turbulent fluidization predicted by CFD-DEM simulations are successfully captured by the TFM simulations. The radial profiles of solids volume fraction and solids axial velocity predicted by TFM and CFD-DEM simulations are also in well agreement. Such results demonstrate that TFM can be appropriately used to model micro fluidized beds systems. Parameter analyses show that TFM simulation results are closely related to the input parameter setting. The minimum bubbling velocity predicted by TFM simulations closely depends on the chosen value of frictional packing limit. And the specularity coefficient has a significant impact on the predicted solids flow behavior.
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影响因子：
5.2
作者：
Yupeng Xu;Tingwen Li;Jordan Musser;Xiaoxing Liu;Guangwen Xu;W. Rogers
通讯作者：
Yupeng Xu;Tingwen Li;Jordan Musser;Xiaoxing Liu;Guangwen Xu;W. Rogers
影响因子：
4.7
作者：
T. Dang;F. Gallucci;V. S. Annaland
通讯作者：
T. Dang;F. Gallucci;V. S. Annaland
影响因子：
5
作者：
Lianghui Tan;I. Roghair;M. van Sint Annaland
通讯作者：
Lianghui Tan;I. Roghair;M. van Sint Annaland
DOI：
10.1016/0923-0467(94)02875-b
发表时间：
1995-05
期刊：
The Chemical Engineering Journal and The Biochemical Engineering Journal
影响因子：
--
作者：
H. Bi;J. Grace
通讯作者：
H. Bi;J. Grace
影响因子：
2.1
作者：
Q. Guo;Yi-Qiang Xu;Xuehai Yue
通讯作者：
Q. Guo;Yi-Qiang Xu;Xuehai Yue