CFD simulation of dilute-phase pneumatic conveying of powders

被引:43
作者
Miao, Zhen [1 ]
Kuang, Shibo [1 ]
Zughbi, Habib [2 ]
Yu, Aibing [1 ]
机构
[1] Monash Univ, ARC Res Hub Computat Particle Technol, Dept Chem Engn, Clayton, Vic 3800, Australia
[2] BlueScope, Port Kembla, NSW 2505, Australia
基金
澳大利亚研究理事会;
关键词
Pneumatic conveying; Fine particles; Dilute-phase; CFD; Particle size distribution; Drag correlation; GAS-SOLID FLOW; DISCRETE PARTICLE SIMULATION; LATTICE-BOLTZMANN SIMULATION; FLUID-FLOW; PRESSURE-DROP; NUMERICAL-SIMULATION; GRANULAR-MATERIALS; LDV MEASUREMENTS; 2-PHASE FLOW; PACKED-BEDS;
D O I
10.1016/j.powtec.2019.03.031
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A comprehensive validated numerical model simulating the pneumatic transport of fine particles through various geometries has been developed using Computational Fluid Dynamics (CFD). The prediction reliability of the model was tested over a range of operational conditions, geometry layouts and particle size distributions (PSD). Simulation results have shown a reasonable agreement with published experimental data. The achieved results indicate that this CFD model has an extensive applicability for different geometries when an alternative recently developed drag force correlation is used. Furthermore, the effect of PSD was introduced in the validated model to gain a better understanding of particle motions during conveying. The CFD model with PSD also provided reliable results in various geometries. Numerical results reveal completely different particle size distributions in horizontal and vertical pneumatic conveying. Moreover, the formation and disintegration of particle ropes are both found to be controlled mainly by the behavior of large particles during transportation in a horizontal-bend-vertical pipeline. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:70 / 83
页数:14
相关论文
共 53 条
[1]  
ANSYS FLUENT, 2018, THEOR GUID
[2]  
Ariyaratne W.K.H., 2018, PARTICUL SCI TECHNOL, P1
[3]   CFD modeling and analysis of dense phase pneumatic conveying of fine particles including particle size distribution [J].
Behera, Niranjana ;
Agarwal, Vijay K. ;
Jones, Mark G. ;
Williams, Kenneth C. .
POWDER TECHNOLOGY, 2013, 244 :30-37
[4]   A BUBBLING FLUIDIZATION MODEL USING KINETIC-THEORY OF GRANULAR FLOW [J].
DING, J ;
GIDASPOW, D .
AICHE JOURNAL, 1990, 36 (04) :523-538
[5]  
Drew D. A., 1993, PARTICULATE 2 PHASE, P509
[6]   CFD prediction of air-solid flow in 180° curved duct [J].
El-Behery, Samy M. ;
Hamed, Mofreh H. ;
El-Kadi, M. A. ;
Ibrahim, K. A. .
POWDER TECHNOLOGY, 2009, 191 (1-2) :130-142
[7]  
ERGUN S, 1952, CHEM ENG PROG, V48, P89
[8]   Characterisation of the cross sectional particle concentration distribution in horizontal dilute flow conveying - a review [J].
Fokeer, S ;
Kingman, S ;
Lowndes, I ;
Reynolds, A .
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2004, 43 (06) :677-691
[9]   Computational investigation of the effect of particle density on the multiphase flows and performance of hydrocyclone [J].
Ghodrat, M. ;
Qi, Z. ;
Kuang, S. B. ;
Ji, L. ;
Yu, A. B. .
MINERALS ENGINEERING, 2016, 90 :55-69
[10]   Measurement and prediction of pressure drop in pneumatic conveying: Effect of particle characteristics, mass loading, and Reynolds number [J].
Henthorn, KH ;
Park, K ;
Curtis, JS .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2005, 44 (14) :5090-5098