The KSFM Journal of Fluid Machinery (한국유체기계학회 논문집)

Korean Society for Fluid machinery (한국유체기계학회)
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Effects of Blade Configuration on the Performance of Induced Gas Flotation Machine

익형 변화에 따른 유도공기부상기 성능특성 연구

  • Song, You-Joon (Graduate School of Mechanical Engineering, Sungkyunkwan University) ;
  • Lee, Ji-Gu (Graduate School of Mechanical Engineering, Sungkyunkwan University) ;
  • Kim, Youn-Jea (School of Mechanical Engineering, Sungkyunkwan University)
  • 송유준 (성균관대학교 대학원 기계공학과) ;
  • 이지구 (성균관대학교 대학원 기계공학과) ;
  • 김윤제 (성균관대학교 기계공학부)
  • Received : 2016.02.19
  • Accepted : 2016.11.16
  • Published : 2017.04.01
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Abstract

The flotation performance of the induced gas flotation (IGF) machine is considerably influenced by geometric configurations of rotor and stator. The interaction of rotor and stator, which are the most important components in IGF, serves to mix the air bubbles. Thus, the understanding of flow characteristics and consequential analysis on the machine are essential for the optimal design of IGF. In this study, two-phase (water and air) flow characteristics in the forced-air mechanically stirred Dorr-Oliver flotation cell was investigated using ANSYS CFX. In addition, the void fraction and the velocity distributions are determined and presented with different blade configurations.

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References

  1. Yiantos, J. B., 2007, "Fluid Flow and Kinetic Modeling in Flotation Related Process: Columns and Mechanically Agitated Cells," Chemical Engineering Research and Design, Vol. 85, No. 12, pp. 1591-1603. https://doi.org/10.1016/S0263-8762(07)73204-5
  2. Zhou, J. W., Song, T., and Shen, Z. C., 2010, "CFD Simulation of Gas-Liquid Flow in a Large Scale Flotation Cell," J. of Computational Multiphase Flow, Vol. 2, No. 3, pp. 143-150.
  3. Shi, S. X., Yu, Y., Yang, W. W., and Zhou, H. X., 2013, "Flow Filed Test and Analysis of KYF Flotation Cell by PIV," Applied Mechanics and Materials, Vol. 331, pp. 200-204. https://doi.org/10.4028/www.scientific.net/AMM.331.200
  4. Malhorta, D., Taylor, P. R., Spiller, E., and LeVier M., 2009, "Recent Advances in Mineral Processing Plant Design, Society for Mining, Metallurgy," and Exploration (SME), New York, pp. 220-252.
  5. Salem-Said, A., Fayed, H., and Ragab, S., 2013, "Numerical Simulations of Two-Phase Flow in a Dorr-Oliver Flotation Cell Model," Advances in Mineral Analytical Techniques, Vol. 3, No. 3, pp. 258-336.
  6. Shi, S., Zhang, Ming., and Chen D., 2015, "Experimental and Computational Analysis of the Impeller Angle in a Flotation Cell by PIV and CFD," International Journal of Mineral Processing, Vol. 142, pp. 2-9. https://doi.org/10.1016/j.minpro.2015.04.029
  7. Xia, J., Rinne, A., and Gronstand, S., 2009, "Effect of Turbulence Models on Prediction of Fluid Flow in an Outotec Flotation Cell," Minerals Engineering, Vol. 22, No. 11, pp. 880-885. https://doi.org/10.1016/j.mineng.2009.06.004
  8. Liu, T. Y. and Schwarz, M. P., 2009, "CFD-Based Multiscale Modelling of Bubble-Particle Collision Efficiency in a Turbulent Flotation Cell," Chemical Engineering Science, Vol. 64, No. 24, pp. 5287-5301. https://doi.org/10.1016/j.ces.2009.09.014
  9. Lim, K. H. and Jo, Y. J., 2015, Review of Boiling Heat Transfer Models in Computational Fluid Dynamics Codes, KINS/RR-1369 (in Korean).
  10. Chapple, D. and Kresta, S. M., 2002, "The Effect of Impeller and Tank Geometry on Power Number for a Pitched Blade Turbine," Chemical Engineering Research and Design, Vol. 80, No. 4, pp. 364-372. https://doi.org/10.1205/026387602317446407