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Long-time coarse-grained CFD-DEM simulation of residence time distribution of polydisperse particles in a continuously operated multiple-chamber fluidized bed 期刊论文
CHEMICAL ENGINEERING SCIENCE, 2020, 卷号: 219, 页码: 11
Authors:  Lan, Bin;  Xu, Ji;  Zhao, Peng;  Zou, Zheng;  Zhu, Qingshan;  Wang, Junwu
Favorite  |  View/Download:22/0  |  Submit date:2020/06/15
Fluidization  Polydisperse particles  Particle non-sphericity  Residence time distribution  Gas-solid flow  Multiphase flow  
A CFD-DEM-IBM method for Cartesian grid simulation of gas-solid flow in complex geometries 期刊论文
CHEMICAL ENGINEERING JOURNAL, 2020, 卷号: 389, 页码: 14
Authors:  Zhao, Peng;  Xu, Ji;  Ge, Wei;  Wang, Junwu
Adobe PDF(7789Kb)  |  Favorite  |  View/Download:24/0  |  Submit date:2020/05/21
Cartesian Grid  Fluidization  Immersed Boundary Method  Fluid Field Reconstruction  Multiphase Flow  Particle Technology  
Continuum theory for dense gas-solid flow: A state-of-the-art review 期刊论文
CHEMICAL ENGINEERING SCIENCE, 2020, 卷号: 215, 页码: 92
Authors:  Wang, Junwu
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Heterogeneous structure  Drag force  Kinetic theory  Mesoscale structure  Filtered method  EMMS method  
CFD intensification of coal beneficiation process in gas-solid fluidized beds 期刊论文
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2020, 卷号: 148, 页码: 6
Authors:  Zhang, Yong;  Jia, Ying;  Xu, Ji;  Wang, Junwu;  Duan, Chenlong;  Ge, Wei;  Zhao, Yuemin
Favorite  |  View/Download:16/0  |  Submit date:2020/05/21
Coal beneficiation  CFD simulation  Process intensification  Scale-up effect  Gas distributor  Fluidization  
Progress in coal chemical technologies of China 期刊论文
REVIEWS IN CHEMICAL ENGINEERING, 2020, 卷号: 36, 期号: 1, 页码: 21-66
Authors:  Yang, Yong;  Xu, Jian;  Liu, Zhenyu;  Guo, Qinghua;  Ye, Mao;  Wang, Gang;  Gao, Junhu;  Wang, Junwu;  Shu, Zhan;  Ge, Wei;  Liu, Zhongmin;  Wang, Fuchen;  Li, Yong-Wang
Favorite  |  View/Download:27/0  |  Submit date:2020/03/24
chemical engineering progress  China  coal chemical technology  perspectives  
A critical comparison of two-fluid model, discrete particle method and direct numerical simulation for modeling dense gas-solid flow of rough spheres 期刊论文
CHEMICAL ENGINEERING SCIENCE, 2019, 卷号: 210, 页码: 17
Authors:  Bian, Wei;  Chen, Xizhong;  Wang, Junwu
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Drag Force  Direct Numerical Simulation  Discrete Particle Method  Two-fluid Model  Fluidization  Multiphase Flow  
An EMMS drag model for coarse grid simulation of polydisperse gas-solid flow in circulating fluidized bed risers 期刊论文
CHEMICAL ENGINEERING SCIENCE, 2019, 卷号: 207, 页码: 358-378
Authors:  Qin, Zhiyuan;  Zhou, Quan;  Wang, Junwu
Adobe PDF(9046Kb)  |  Favorite  |  View/Download:44/0  |  Submit date:2019/10/18
Fluidization  Clustering Structure  Emms Drag Model  Meso Scale Structure  Particle Size Distribution  
Solid residence time distribution in a cross-flow dense fluidized bed with baffles 期刊论文
CHEMICAL ENGINEERING SCIENCE, 2019, 卷号: 200, 页码: 320-335
Authors:  Hua, Leina;  Zhao, Hu;  Li, Jun;  Zhu, Qingshan;  Wang, Junwu
Favorite  |  View/Download:71/0  |  Submit date:2019/06/14
Cross-flow dense fluidized bed  Baffle  Non-spherical particle  Solid residence time distribution  Solid dispersion coefficient  Eulerian-Eulerian model  
Experimental and Eulerian-Lagrangian-Lagrangian study of binary gas-solid flow containing particles of significantly different sizes 期刊论文
RENEWABLE ENERGY, 2019, 卷号: 136, 页码: 193-201
Authors:  Zhang, Yong;  Zhao, Yuemin;  Gao, Zhonglin;  Duan, Chenlong;  Xu, Ji;  Lu, Liqiang;  Wang, Junwu;  Ge, Wei
Favorite  |  View/Download:84/0  |  Submit date:2019/06/14
Fluidization  Coarse-grained model  Bubble motions  Multi-scale analysis  Density segregation  
Quantifying the non-equilibrium characteristics of heterogeneous gas-solid flow of smooth, inelastic spheres using a computational fluid dynamics-discrete element method 期刊论文
JOURNAL OF FLUID MECHANICS, 2019, 卷号: 866, 页码: 776-790
Authors:  Wang, Jing;  Chen, Xizhong;  Bian, Wei;  Zhao, Bidan;  Wang, Junwu
Favorite  |  View/Download:76/0  |  Submit date:2019/06/14
fluidized beds  granular media  particle  fluid flow