Critical resistance and critical fluidization velocity of finely divided material in cylindro-conical apparatus

1966 ◽  
Vol 2 (8) ◽  
pp. 529-533
Author(s):  
A. P. Baskakov ◽  
L. G. Gal'perin ◽  
O. K. Butt
2012 ◽  
Vol 170-173 ◽  
pp. 2454-2457
Author(s):  
Xue Jun Zhu ◽  
Deng Jun ◽  
Yu Feng Li

Hydrodynamic for 2D vibrated fluidized bed was studied with large particle glass beads of average diameters are less than 1.5mm.The effect of the vibration strength, the static bed height and the particle diameter on the critical fluidization velocity was analyzed. The results show that the critical fluidization velocity decreases with the increase of the vibration strength, and increases with increases of the static bed height and particle diameter. The effect of vibration on critical fluidization velocity was more significant than decrease the bed height and particle diameter. The empirical correlation equations to predict the critical fluidization velocity was established, and the results of the prediction were compared with the experimental data, the error is in range of ±10%. The results can provide important meaning on theory and instructing practice for developing the new drying technology with high drying efficiency and low dissipation of energy.


2003 ◽  
Vol 20 (1) ◽  
pp. 163-168 ◽  
Author(s):  
Hee-Dong Han ◽  
Won Lee ◽  
Young-Kang Kim ◽  
Jae-Lee Kwon ◽  
Ho-Suk Choi ◽  
...  

Author(s):  
Louis Edwards Cáceres-Martínez ◽  
Diana Carolina Guío-Pérez ◽  
Sonia Lucía Rincón-Prat

AbstractThe present study explores the relevance of the physical properties of biomass particles on the determination of the minimum fluidization velocity (Umf) of binary mixtures. Fluidization experiments were performed in a cold flow unit with diverse biomasses mixed with sand in different mass fractions. Gas velocity and pressure drop across the bed were used to determine Umf. Different correlations reported in the literature were evaluated on their ability to accurately predict Umf of the mixtures. Results showed satisfactory predictions when appropriately identifying correlations according to the corresponding Geldart groups for the biomass particles. This perspective opens new possibilities toward the generalization of correlation factors and helps in improving the accuracy of the prediction for highly heterogeneous mixtures. The methodology also allows the analysis of mixtures for which the experimental approach is difficult, such as those including char particle, with the only requirement of carefully measuring the physical properties of the particles.


2020 ◽  
pp. 127965
Author(s):  
Yanjiao Li ◽  
Chenyang Zhou ◽  
Guannan Lv ◽  
Yongxin Ren ◽  
Yuemin Zhao ◽  
...  

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