Open Access
Issue |
MATEC Web Conf.
Volume 347, 2021
12th South African Conference on Computational and Applied Mechanics (SACAM2020)
|
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Article Number | 00039 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/matecconf/202134700039 | |
Published online | 23 November 2021 |
- B. Cui, C. Zhang, D. Wei, S. Lu, and Y. Feng, “Effects of feed size distribution on separation performance of hydrocyclones with different vortex finder diameters, ” Powder Technol., vol. 322, pp. 114–123, 2017. [CrossRef] [Google Scholar]
- L. F. Martínez, A. G. Lavín, M. M. Mahamud, and J. L. Bueno, “Vortex finder optimum length in hydrocyclone separation, ” Chem. Eng. Process. Process Intensif., vol. 47, no. 2, pp. 192–199, 2008. [CrossRef] [Google Scholar]
- K. Heiskanen, “Experimental hydrocyclone roping models, ” Chem. Eng. J., vol. 80, no. 1–3, pp. 289–293, 2000. [CrossRef] [Google Scholar]
- T. Dyakowski and R. A. Williams, “Prediction of air-core size and shape in a hydrocyclone, ” J. Miner. Process, vol. 43, pp. 1–14, 1995. [CrossRef] [Google Scholar]
- M. Narasimha, M. S. Brennan, and P. N. Holtham, “CFD modeling of hydrocyclones: Prediction of particle size segregation, ” Miner. Eng., vol. 39, pp. 173–183, 2012. [CrossRef] [Google Scholar]
- G. Patra, S. Chakraborty, and B. C. Meikap, “Role of vortex finder depth on pressure drop and performance efficiency in a ribbed hydrocyclone, ” South African J. Chem. Eng., vol. 25, pp. 103–109, 2018. [CrossRef] [Google Scholar]
- T. Braun and M. Bohnet, “Influence of feed solids concentration on the performance of hydrocyclones, ” Chem. Eng. Technol., vol. 13, no. 1, pp. 15–20, 1990. [CrossRef] [Google Scholar]
- R. Raesi and R. Maddahian, “Numerical investigation of air-injected deoiling hydrocyclones using population balance model, ” Chem. Eng. Sci., vol. 248, p. 117103, 2021. [Google Scholar]
- R. Sripriya, M. D. Kaulaskar, S. Chakraborty, and B. C. Meikap, “Studies on the performance of a hydrocyclone and modeling for flow characterization in presence and absence of air core, ” Chem. Eng. Sci., vol. 62, no. 22, pp. 6391–6402, 2007. [CrossRef] [Google Scholar]
- M. A. Hararah, E. Endres, J. Dueck, L. Minkov, and T. Neesse, “Flow conditions in the air core of the hydrocyclone, ” Miner. Eng., vol. 23, pp. 295–300, 2010. [CrossRef] [Google Scholar]
- F. Li et al., “Numerical Analysis on the Effect of Combined-Curve Tapered Segment on the Flow Field and Separation Performance of Hydrocyclones, ” Arab. J. Sci. Eng., vol. 172, no. August, 2021. [Google Scholar]
- F. R. Menter, “Two-equation eddy-viscosity turbulence models for engineering applications, ” AIAA J., vol. 32, no. 8, pp. 1598–1605, 1994. [CrossRef] [Google Scholar]
- M. Narasimha, M. Brennan, and & P. N. Holtham, “A Review of CFD Modelling for Performance Predictions of Hydrocyclone, ” Eng. Appl. Comput. Fluid Mech., vol. 1, no. 2, pp. 109–125, 2007. [Google Scholar]
- M. Ghodrat, S. B. Kuang, A. B. Yu, A. Vince, G. D. Barnett, and P. J. Barnett, “Numerical analysis of hydrocyclones with different vortex finder configurations, ” Miner. Eng., vol. 63, pp. 125–138, 2014. [CrossRef] [Google Scholar]
- J. A. Delgadillo and R. K. Rajamani, “Exploration of hydrocyclone designs using computational fluid dynamics, ” International Journal of Mineral Processing, vol. 84, no. 1–4. pp. 252–261, 2007. [CrossRef] [Google Scholar]
- M. Narasimha, M. Brennan, and P. N. Holtham, “Large eddy simulation of hydrocyclone — prediction of air-core diameter and shape, ” vol. 80, pp. 1–14, 2006. [Google Scholar]
- T. Neesse and J. Dueck, “Air core formation in the hydrocyclone, ” Miner. Eng., vol. 20, no. 4, pp. 349–354, 2007. [CrossRef] [Google Scholar]
- B. Tang, Y. Xu, X. Song, Z. Sun, and J. Yu, “Numerical study on the relationship between high sharpness and configurations of the vortex finder of a hydrocyclone by central composite design, ” Chem. Eng. J., vol. 278, pp. 504–516, 2015. [CrossRef] [Google Scholar]
- F. Ficici, A. Vedat, and M. Kapsiz, “The effects of vortex finder on the pressure drop in cyclone separators, ” Int. J. Phys. Sci., vol. 5, no. 6, pp. 804–813, 2010. [Google Scholar]
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