Mining of Mineral Deposits

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Optimizing the separation characteristics of the waterinjection hydrocyclone using mathematical modelling

Leonid Minkov1, Johann Dueck2, Mohamed M.A. Hassan3, Mahrous A.M. Ali3, Mohamed G. Farghaly3

1Tomsk State University, Tomsk, 634050, Russian Federation

2Erlangen-Nuremberg University, Erlangen, 91054, Germany

3Al-Azhar University, Qena, 83513, Egypt


Min. miner. depos. 2021, 15(4):114-121


https://doi.org/10.33271/mining15.04.114

Full text (PDF)


      ABSTRACT

      Purpose. Although the hydrocyclone separator has many advantages, it still has some limitations which decrease its separation efficiency in many mineral processing applications because of fine particles which are miss separated to the coarse product in the underflow. Water injection in the conical part of the cyclone was recently implemented to solve this problem. The water injection mechanism and the way in which the injected water affects the separation are still not clear and need to be more investigated.

      Methods. New design of water injection hydrocyclone was tried using a modified conical part with a water injection range consist of five equal distance injection openings open directly on the periphery of the cone part.

      Findings. This study presents a mechanical mathematical model that simulates the water injection to give a clear indication of the injection mechanism impact on the classification process. It could also predict the dependence of the basic characteristics of the classification on the amount of the injected water and the influence of different operating and design parameters of the hydrocyclone.

      Originality. The model accounts for the fluid flow, the particle motion, the turbulent particle diffusion, and particle settling. Particle interactions and fine particle entrainment by settling coarse particles are also included in the model. The model was found to predict well the injection effect and agrees with the experimental results.

      Practical implications. The results showed also that the increase in water injection velocity leads to an increase in both the cut size and the minimal value of the separation curve. It was found also that the hydrocyclone length has an important effect on the injection process, and the separation sharpness is directly proportional to it at higher values of water injection velocity.

      Keywords: hydrocyclone, water injection, mathematical model, separation efficiency


      REFERENCES

  1. Bradley, D. (1965). The hydrocyclone. London, United Kingdom: Pergamon Press.
  2. Lim, E.W.C., Chen, Y.-R., Wang, C.-H., & Wu, R.-M. (2010). Experimental and computational studies of multiphase hydrodynamics in a hydrocyclone separator system. Chemical Engineering Science, 65(24), 6415-6424. https://doi.org/10.1016/j.ces.2010.09.029
  3. Kelsall, D.F., & Holmes, J.A. (1990). Improvement in classification efficiency in hydrauliccyclones by water injection. Proceedings of the 5th Mineral Processing Congress, 159-170.
  4. Ghodrat, M., Kuang, S.B., Yu, A.B., Vince, A., Barnett, G.D., & Barnett, P.J. (2013). Computational study of the multiphase flow and performance of hydrocyclones: Effects of cyclone size and spigot diameter. Industrial & Engineering Chemistry Research, 52(45), 16019-16031. https://doi.org/10.1021/ie402267b
  5. Hararah, M.A., Endres, E., Dueck, J., Minkov, L., & Neesse, T. (2009). Flow conditions in the air core of the hydrocyclone. Minerals Engineering, 23(4), 295-300. https://doi.org/10.1016/j.mineng.2009.12.013
  6. Udaya Bhaskar, K., Govindarajan, B., Barnawal, J.P., Rao, K.K., & Rao, T.C. (2004). Modelling studies on a 100 mm water-injection cyclone. Physical Separation in Science and Engineering, 13(3-4), 89-99. https://doi.org/10.1080/14786470412331286580
  7. Udaya Bhaskar, K., Govindarajan, B., Barnawal, J.P., Rao, K.K., Gupta, B.K., & Rao, T.C. (2005). Classification studies of lead-zinc ore fines using water-injection cyclone. International Journal of Mineral Processing, (77), 80-94. https://doi.org/10.1016/j.minpro.2005.02.007
  8. Farghaly, M.G. (2009). Controlled wash water injection to the hydrocyclone underflow. PhD Thesis. Nuremberg, Germany: University Erlangen.
  9. Dueck, J.G., Minkov, L.L., & Pikushchak, E.V. (2006). On separation curves of a throughput classification apparatus of finite length. Journal of Engineering Physics and Thermophysics, 79(4), 171-178. https://doi.org/10.1007/s10891-006-0141-y
  10. Zhang, Y., Qian, P., Liu, Y., & Wang, H. (2011). Experimental study of hydrocyclone flow field with different feed concentration. Industrial and Engineering Chemistry Research, 50(13), 8176-8184. https://doi.org/10.1021/ie100210c
  11. Dubey, R.K., Climent, E., Banerjee, C., & Majumder, A.K. (2016). Performance monitoring of a hydrocyclone based on underflow discharge angle. International Journal of Mineral Processing, (154), 41-52. https://doi.org/10.1016/j.minpro.2016.07.002
  12. Dueck, J.G., Min’kov, L.L., & Pikushchak, E.V. (2007). Modeling of the “fish-hook” effect in a classifier. Journal of Engineering Physics and Thermophysics, 80(1), 64-73. https://doi.org/10.1007/s10891-007-0009-9
  13. Neesse, Th., Schubert, H., & Graichen, K. (1991). Practical and theoretical aspects of dense-flow classification. Aufberei-Tungstechnik, 32(9), 459-472. https://doi.org/10.1016/0379-6787(91)90078-4
  14. Dueck, J., Krokhina, A., Minkov, L.L., & Neesse, T. (2009). Hydrodynamics of a cyclone with wash water injection. Proceedings of the 7th World Conference on Experimental Heat Transfer, Fluid Mechanics and Thermodynamics.
  15. Dueck, J.G., Pikushchak, E.V., & Minkov, L.L. (2009). Modelling of change of the classifiers separation characteristics by water injection into the apparatus. Thermophysics and Aeromechanics, 16(2), 247-258. https://doi.org/10.1134/S0869864309020097
  16. Ghodrat, M., Kuang, S.B., Yu, A.B., & Vince, A. (2014). Numerical analysis of hydrocyclone with different vortex finder configurations. Minerals Engineering, (63), 125-138. https://doi.org/10.1016/j.mineng.2014.02.003
  17. Kuang, S.B., Chu, K.W., Yu, A.B., & Vince, A. (2012). Numerical study of liquid-gas-solid flow in classifying hydrocyclones: Effect of feed solids concentration. Minerals Engineering, 31(0), 17-31. https://doi.org/10.1016/j.mineng.2012.01.003
  18. Narasimha, M., Brennan, M.S., & Holtham, P.N. (2012). CFD modeling of hydrocyclones: Prediction of particle size segregation. Minerals Engineering, 39(0), 173-183. https://doi.org/10.1016/j.mineng.2012.05.010
  19. Minkov, L., & Dueck, J. (2005). Collective effects by settling of polydisperse dense suspension. Eurasian Physical-Technical Journal, 2(1(3)), 47-63.
  20. Patil, D.D., & Rao, T.C. (1999). Technical note, classification evaluation of water injected hydrocyclone. Mineral Engineering, 12(12), 1527-1532. https://doi.org/10.1016/S0892-6875(99)00139-9
  21. Udaya Bhaskar, K., Govindarajan, B., Barnawal, J.P., Rao, K.K., & Rao, T.C. (2004). Modelling studies on a 100 mm water-injection cyclone. Physical Separation in Science and Engineering, 13(3-4), 89-99. https://doi.org/10.1080/14786470412331286580
  22. Udaya Bhaskar, K., Govindarajan, B., Barnawal, J.P., Rao, K.K., Gupta, B.K., & Rao, T.C. (2005). Classification studies of lead-zinc ore fines using water-injection cyclone. International Journal of Mineral Processing, (77), 80-94. https://doi.org/10.1016/j.minpro.2005.02.007
  23. Neese, T., & Dueck, J. (2007). Air core formation in the hydrocyclone. Minerals Engineering, 20(4), 349-354. https://doi.org/10.1016/j.mineng.2007.01.007
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