Particle velocity distribution function around a single bubble in gas-solid fluidized beds

被引:8
|
作者
Liu, Runjia [1 ,2 ]
Zhou, Zongyan [2 ]
Xiao, Rui [1 ]
Ye, Mao [3 ]
Yu, Aibing [2 ]
机构
[1] Southeast Univ, Coll Energy & Environm Engn, Minist Educ, Key Lab Energy Thermal Convers & Control, Nanjing 210096, Peoples R China
[2] Monash Univ, Dept Chem Engn, Lab Simulat & Modelling Particulate Syst, Clayton, Vic 3800, Australia
[3] Chinese Acad Sci, Dalian Inst Chem Phys, Natl Engn Lab MTO, Dalian 116023, Peoples R China
基金
美国国家科学基金会;
关键词
Bubbling fluidized bed; PIV; DEM; Tri-peak model; Particle velocity distribution; ERUPTING BUBBLES; KINETIC-THEORY; GRANULAR FLOW; MODEL; CLOUD; JET; SEGREGATION; SIMULATION; FREEBOARD; MOVEMENT;
D O I
10.1016/j.powtec.2019.11.007
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Particle image velocimetry (PIV) is employed in this work to measure particle flow field in a two-dimensional fluidized bed to obtain particle velocity distribution function around a single bubble. Discrete element method (DEM) is also used to investigate particle velocity distribution at the individual particle scale. Both experimental and simulation results show that the velocity distribution of particles surrounding a single bubble can be described by tri-peak model which is a linear superposition of three Maxwellian distributions. A tri-peak distribution model based on the fluid and particle control mechanisms is theoretically derived. Three kinds of models such as tri-peak model, bi-peak model and single-peak model are proposed and compared. The error analysis shows that compared with other models, the tri-peak model can profile particle velocity distribution more accurately. (C) 2019 Elsevier B.V. All tights reserved.
引用
收藏
页码:33 / 44
页数:12
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