Numerical and experimental comparison of tracer particle and averaging techniques for particle velocities in a fluidized bed

被引:15
|
作者
Xu, Yupeng [1 ,8 ]
Li, Tingwen [1 ,6 ]
Lu, Liqiang [1 ]
Tebianian, Sina [2 ]
Chaouki, Jamal [3 ]
Leadbeater, Thomas W. [7 ]
Jafari, Rouzben [3 ]
Parker, David J. [4 ]
Seville, Jonathan [4 ]
Ellis, Naoko [5 ]
Grace, John R. [5 ]
机构
[1] US DOE, Natl Energy Technol Lab, Morgantown, WV USA
[2] IFP Energies Nouvelles, Proc Design & Modeling Div, Lyon, France
[3] Ecole Polytech, Dept Genie Chim, Montreal, PQ H3T 1J4, Canada
[4] Univ Birmingham, Positron Imaging Ctr, Birmingham B15 2TT, W Midlands, England
[5] Univ British Columbia, Dept Chem & Biol Engn, Vancouver, BC V6T 1Z3, Canada
[6] AECOM, Morgantown, WV 26505 USA
[7] Univ Cape Town, Dept Phys, Cape Town, South Africa
[8] West Virginia Univ Res Corp, Morgantown, WV 26506 USA
基金
加拿大自然科学与工程研究理事会;
关键词
Fluidized bed; Particle tracking; Particle velocity; Numerical simulation; MFIX-DEM SOFTWARE; DISCRETE PARTICLE; MODEL; VALIDATION; SIMULATION; FLOW;
D O I
10.1016/j.ces.2018.09.034
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Particle tracking methods using emitted radiation are attractive for following motion in opaque systems such as granular materials. Leading examples are Positron Emission Particle Tracking (PEPT) and Radioactive Particle Tracking (RPT). The application of such techniques sometimes requires the use of tracer particles which differ in size, density and/or shape from the particles of interest. This study investigates the extent to which such differences affect the result of the study by using the open source MFIX-DEM software to model particle motion in the travelling fluidized bed experiments. The results are compared with previously reported experimental studies using both PEPT and RPT. Consistent numerical results were obtained for both PEPT and RPT tracer particles. In determining averaged velocities using such techniques, there is a choice to be made between averaging velocities of particles crossing a virtual plane over a period of time (the "face-average" approach) or those passing through a defined volume over time (the "volume-average" approach). The differences between results obtained with these two approaches are shown to be significant in this case, for both computation and experiment. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:356 / 366
页数:11
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