Modelling of Polydispersed Flows using Two Population Balance Approaches

被引:2
作者
Cheung, Sherman C. P. [1 ]
Duan, Xinyue [1 ,2 ]
Yeoh, Guan H. [3 ]
Tu, Jiyuan [1 ]
Krepper, Eckhard [4 ]
Lucas, Dirk [4 ]
机构
[1] RMIT Uni, Sch Aero Mech & Manu Eng, Bundoora, Vic, Australia
[2] Xi An Jiao Tong Univ, Inst Ref & Cry Eng, Xian, Peoples R China
[3] Australia Nucl Sci & Tech Org, Menai, NSW, Australia
[4] Forschungszentrum Rossendrof EV, Inst Safety Res, Julich, Germany
来源
6TH INTERNATIONAL SYMPOSIUM ON MULTIPHASE FLOW, HEAT MASS TRANSFER AND ENERGY CONVERSION | 2010年 / 1207卷
关键词
Population balance; Turbulence; Polydispersed; Bubbly flow; ABND; BUBBLY FLOWS; VERTICAL PIPE; 2-PHASE FLOW; SIMULATION; COALESCENCE; PREDICTION; BREAKUP; COLUMN; CFD;
D O I
10.1063/1.3366467
中图分类号
O414.1 [热力学];
学科分类号
摘要
Polydispersed bubbly flows with wide range of bubble size are commonly encountered in many industrial fields. The use of population balance models coupled with the two-fluid model presents the most viable way of handling such complex flow structures. The main focus of this paper is to access the capabilities of two population balance models namely Average Bubble Number Density (ABND) and Inhomogeneous MUlti-Size-Group (MUSIG) model; in resolving the dynamical changes of void fraction and bubble size distribution under polydispersed flow conditions. Numerical predictions are validated against two polydispersed flow measurements. Special attentions are directed towards the performance of the two models in capturing the behavioral transition of "wall peak" to "core peak" void fraction profile. Applicability and drawbacks of the two population balance models for industrial applications are also discussed.
引用
收藏
页码:809 / +
页数:2
相关论文
共 50 条
[21]   On the solution of the population balance equation for bubbly flows using the high-order least squares method: implementation issues [J].
Solsvik, Jannike ;
Jakobsen, Hugo A. .
REVIEWS IN CHEMICAL ENGINEERING, 2013, 29 (02) :63-98
[22]   Effect of phase dispersion and mass transfer direction on steady state RDC performance using population balance modelling [J].
Jaradat, Moutasem ;
Attarakih, Menwer ;
Bart, Hans-Joerg .
CHEMICAL ENGINEERING JOURNAL, 2010, 165 (02) :379-387
[23]   Modelling of stratified two phase flows using an interfacial area density model [J].
Hoehne, T. ;
Vallee, C. .
COMPUTATIONAL METHODS IN MULTIPHASE FLOW V, 2009, :123-133
[24]   Capturing coalescence and break-up processes in vertical gas-liquid flows: Assessment of population balance methods [J].
Deju, L. ;
Cheung, S. C. P. ;
Yeoh, G. H. ;
Tu, J. Y. .
APPLIED MATHEMATICAL MODELLING, 2013, 37 (18-19) :8557-8577
[25]   Population balance modelling of an electrocoalescer [J].
Sharma, Ekta ;
Thaokar, Rochish M. .
CHEMICAL ENGINEERING SCIENCE, 2023, 282
[26]   Modelling bubbly flow and its transitions in vertical annuli using population balance technique [J].
Das, A. K. ;
Das, P. K. .
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2010, 31 (01) :101-114
[27]   Modelling protein crystallisation using morphological population balance models [J].
Liu, Jing J. ;
Ma, Cai Y. ;
Hu, Yang D. ;
Wang, Xue Z. .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2010, 88 (4A) :437-446
[28]   Numerical simulation of froth formation in aerated slurry coupled with population balance modelling [J].
Sarhan, A. R. ;
Naser, J. ;
Brooks, G. .
CANADIAN METALLURGICAL QUARTERLY, 2017, 56 (01) :45-57
[29]   CFD-DEM characterization and population balance modelling of a dispersive mixing process [J].
Frungieri, Graziano ;
Boccardo, Gianluca ;
Buffo, Antonio ;
Karimi-Varzaneh, Hossein Ali ;
Vanni, Marco .
CHEMICAL ENGINEERING SCIENCE, 2022, 260
[30]   One-equation model to assess population balance kernels in turbulent bubbly flows [J].
Augier, Frederic ;
Gilli, Eleonora ;
Raimundo, Pedro Maximiano .
CHEMICAL ENGINEERING SCIENCE, 2021, 229