Computational Fluid Dynamics applied to Bradley Hydrocyclones

被引:2
|
作者
Vieira, L. G. M. [1 ]
Damasceno, M. R. [1 ]
Barrozo, M. A. S. [1 ]
机构
[1] Univ Fed Uberlandia, Fac Chem Engn, Joao Naves Avila Ave,2160 Campus Santa Monica, BR-38400902 Uberlandia, MG, Brazil
来源
ADVANCED POWDER TECHNOLOGY V | 2006年 / 530-531卷
关键词
hydrocyclone; fluid mechanics; simulation; turbulence; Bradley; Fluent;
D O I
10.4028/www.scientific.net/MSF.530-531.376
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Hydrocyclones are centrifugal devices employed on the solid-liquid and liquid-liquid separation. The operation and building of these devices are relatively simple, however the flow inside them is totally complex and its prediction is very difficult. The fluid moves on all possible directions (axial, radial and swirl), the effects of turbulence can not negligible and an air core along the center line of the hydrocyclone can appear when the operational conditions are favorable. For that reason, the most models that are used to predict the hydrocyclone performance are empirical and require the collection of the main operational and geometric variables in order to validate them. This work objectified to apply Computational Fluid Dynamics (CFD) on Bradley Hydrocyclone and compare the results from this technique to empirical models. The numerical simulation was made in a computational code called Fluent (R) that solves the transport equation by finite volume technique. The turbulence was described by Reynolds Stress Model (RSM) and the liquid-gas interface was treated by Volume of Fluid Model (VOF). In agreement with the results from the simulation, it was possible to predict the internal profiles of velocity, pressure, air core, particle trajectories, efficiencies, pressure drop and underflow-to-throughput ratio.
引用
收藏
页码:376 / +
页数:2
相关论文
共 50 条
  • [21] Synectics model applied in basic theory of computational fluid dynamics
    Sande, P. C.
    Sharma, S.
    INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING EDUCATION, 2021, 49 (02) : 171 - 191
  • [22] Computational fluid dynamics methods applied to intracranial stenosis imaging
    Krakauskaite, S.
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2019, 405
  • [23] Integrating supervised learning and applied computational multi-fluid dynamics
    Catsoulis, Sotiris
    Singh, Joel-Steven
    Narayanan, Chidambaram
    Lakehal, Djamel
    INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2022, 157
  • [24] COMPUTATIONAL FLUID-DYNAMICS APPLIED TO CHEMICAL-REACTION ENGINEERING
    TRAMBOUZE, P
    REVUE DE L INSTITUT FRANCAIS DU PETROLE, 1993, 48 (06): : 595 - 613
  • [25] Computational fluid dynamics applied to high temperature hydrogen separation membranes
    Ji, Guozhao
    Wang, Guoxiong
    Hooman, Kamel
    Bhatia, Suresh
    da Costa, Joao C. Diniz
    FRONTIERS OF CHEMICAL SCIENCE AND ENGINEERING, 2012, 6 (01) : 3 - 12
  • [26] COMPUTATIONAL FLUID-DYNAMICS APPLIED TO THE ANALYSIS OF DEOILING HYDROCYCLONE PERFORMANCE
    HARGREAVES, JH
    SILVESTER, RS
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 1990, 68 (04): : 365 - 383
  • [27] Computational fluid dynamics applied to high temperature hydrogen separation membranes
    Guozhao Ji
    Guoxiong Wang
    Kamel Hooman
    Suresh Bhatia
    João C. Diniz da Costa
    Frontiers of Chemical Science and Engineering, 2012, 6 : 3 - 12
  • [28] Computational fluid dynamics applied to automotive engine related problems in Japan
    Kondoh, T
    NUMERICAL ANALYSIS AND SIMULATION IN VEHICLE ENGINEERING, 1998, 1411 : 901 - 915
  • [29] Computational fluid dynamics in drying and cooling operations applied to the food industry
    Gomez-Daza, Juan C.
    Ochoa-Martinez, Claudia, I
    INGENIERIA Y COMPETITIVIDAD, 2011, 13 (02): : 103 - 114
  • [30] Characteristic study of bi-cone solid-liquid separation hydrocyclones based on computational fluid dynamics analysis
    Zhao, Lixin
    Zhu, Baojun
    Hu, Yanqing
    Ma, Zhanzhao
    Proceedings of the 26th International Conference on Offshore Mechanics and Arctic Engineering, Vol 3, 2007, : 649 - 654