Computational study of the bubbling-to-slugging transition in a laboratory-scale fluidized bed

被引:18
|
作者
Ramirez, Emilio [1 ,2 ]
Finney, Charles E. A. [1 ]
Pannala, Sreekanth [3 ]
Daw, C. Stuart [1 ]
Halow, Jack [4 ]
Xiong, Qingang [5 ]
机构
[1] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
[2] Univ Tennessee, Knoxville, TN 37996 USA
[3] Saudi Arabia Basic Ind Corp Amer, Sugar Land, TX 77478 USA
[4] Separat Design Grp, Waynesburg, PA 15370 USA
[5] Fiat Chrysler Automobiles US LLC, Auburn Hills, MI 48326 USA
关键词
Multiphase flow; Skewness and kurtosis; Higher order statistics; Bubble regime transition; Pressure fluctuations; MS3DATA; PRESSURE-FLUCTUATIONS; GAS-SOLIDS; EULERIAN SIMULATION; CHAOS ANALYSIS; X-RAY; FLOW; COEFFICIENT; HYDRODYNAMICS; RESTITUTION; DYNAMICS;
D O I
10.1016/j.cej.2016.08.113
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We report results from a computational study of the transition from bubbling to slugging in a laboratory scale fluidized-bed reactor with Geldart Group B glass particles. For simulating the three-dimensional fluidized-bed hydrodynamics, we employ MFiX, a widely studied multi-phase flow simulation tool, that uses a two-fluid Eulerian-Eulerian approximation of the particle and gas dynamics over a range of gas flows. We also utilize a previously published algorithm to generate bubble statistics that can be correlated with pressure fluctuations to reveal previously unreported details about the stages through which the hydrodynamics progress during the bubbling-to-slugging transition. We expect this new information will lead to improved approaches for on-line reactor diagnostics, as well as new approaches for validating the results of computational fluidized-bed simulations with experimental measurements. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:544 / 556
页数:13
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