CFD simulation of gas-liquid flow in a large scale flotation cell

被引:2
|
作者
Zhou J.W. [1 ,2 ]
Song T. [2 ]
Shen Z.C. [2 ]
机构
[1] Northeastern University
[2] Beijing General Research Institute of Mining and Metallurgy, Xizhimenwai, Beijing 100044
来源
关键词
Flotation cell; Flotation modelling; Gas-liquid flow; Two-fluid model;
D O I
10.1260/1757-482X.2.3.145
中图分类号
学科分类号
摘要
The actual performance of a new flotation cell is commonly examined through industrial tests. Since the controlled environment of industrial tests differ from laboratory tests, we cannot know the hydrodynamic features in flotation cells and these features are difficult to examine in the industrial test situations. CFD simulation of flotation cells provides a tool that can predict the hydrodynamic features and analyse the influence of variations in design features and operating conditions on the performance of flotation cells. A large scale flotation cell designed by BGRIMM has been modelled by using the Eulerian two-fluid method. Complex gas-liquid flow fields within the cells and the gas volume fraction are predicted. The surface velocity of gas, the power required at varying impeller speeds and gas flow rates have been found and compared against measured values obtained from industrial tests. The effects of some boundary conditions, such as the outlet setting and the timescale, which are important to the model, have been discussed. The effects of impeller speed and gas flow rate on the flow fields in the large scale flotation cell have been investigated using computational modelling. In general, the modelling method is suitable for the large scale flotation cell, and the model can give good information for investigations on the design and operation of flotation cells.
引用
收藏
页码:145 / 150
页数:5
相关论文
共 50 条
  • [21] A hybrid simulation method integrating CFD and deep learning for gas-liquid bubbly flow
    Wen, Kaijie
    Guo, Li
    Xia, Zhaojie
    Cheng, Sibo
    Chen, Jianhua
    CHEMICAL ENGINEERING JOURNAL, 2024, 495
  • [22] CFD simulation on circulation within the liquid slug under Gas-Liquid Taylor flow in circular capillary
    Xie, Yunfeng
    Zhang, Xubin
    Wang, Yan
    Cai, Wangfeng
    ADVANCED COMPOSITE MATERIALS, PTS 1-3, 2012, 482-484 : 274 - 278
  • [23] CFD-PBM simulation of the column flotation unit of FCMC: Importance of gas-liquid interphase forces models
    Wang, Mengdie
    Ni, Chao
    Bu, Xiangning
    Peng, Yaoli
    Xie, Guangyuan
    Tan, Zhongchao
    Yu, Hesheng
    CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2023, 101 (10): : 5925 - 5940
  • [24] A multi-scale approach for CFD calculations of gas-liquid flow within large size column equipped with structured packing
    Raynal, L.
    Royon-Lebeaud, A.
    CHEMICAL ENGINEERING SCIENCE, 2007, 62 (24) : 7196 - 7204
  • [25] CFD simulation of mixing in tall gas-liquid stirred vessel: Role of local flow patterns
    Khopkar, AR
    Kasat, GR
    Pandit, AB
    Ranade, VV
    CHEMICAL ENGINEERING SCIENCE, 2006, 61 (09) : 2921 - 2929
  • [26] Numerical simulation of gas-liquid flow in hydrocyclone
    Zhang, Bo
    INDUSTRIAL DESIGN AND MECHANICS POWER II, 2013, 437 : 3 - 7
  • [27] Assessment of a hybrid CFD model for simulation of complex vertical upward gas-liquid churn flow
    Parsi, Mazdak
    Agrawal, Madhusuden
    Srinivasan, Vedanth
    Vieira, Ronald E.
    Torres, Carlos F.
    McLaury, Brenton S.
    Shirazi, Siamack A.
    Schleicher, Eckhard
    Hampel, Uwe
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2016, 105 : 71 - 84
  • [28] CFD studies on the gas-liquid flow in the swirl generating device
    Putra, Ryan Anugrah
    Schaefer, Thomas
    Neumann, Martin
    Lucas, Dirk
    NUCLEAR ENGINEERING AND DESIGN, 2018, 332 : 213 - 225
  • [29] CFD code application to wavy stratified gas-liquid flow
    Mouza, AA
    Paras, SV
    Karabelas, AJ
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2001, 79 (A5): : 561 - 568
  • [30] Effect of liquid velocity on axial mixing in gas-liquid dispersions: A CFD simulation
    Roy, Swarnendu
    Joshi, Jyeshtharaj B.
    CHEMICAL ENGINEERING & TECHNOLOGY, 2006, 29 (09) : 1034 - 1041