4.7 Article

Numerical analysis of the flow field and separation performance in hydrocyclones with different vortex finder wall thickness

期刊

POWDER TECHNOLOGY
卷 345, 期 -, 页码 478-491

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.powtec.2019.01.030

关键词

Hydrocyclone; Computational fluid dynamics; Vortex finder wall thickness; Flow field; Separation performance

资金

  1. National Natural Science Foundation of China [51474054, 51504054, 51704026]
  2. State Key Laboratory of Process Automation in Mining Metallurgy [BGRIMM-KZSKL-2017-06]
  3. Fundamental Research Funds for the Central Universities [N170104016, N150101001]

向作者/读者索取更多资源

High separation sharpness of hydrocyclones is an ultimate goal for the classification process and has attracted considerable attention. The existence of some special flow patterns, such as short-circuit flow and circulation flow, play an important role in the separation process and have not been clearly understood. This paper presents a numerical study of the effects of vortex finder wall thickness on the flow field and separation performance. More importantly, the formations and effects of short-circuit flow, circulation flow, and axial velocity wave zone (AVWZ) were investigated and understood. The simulation results were analyzed in terms of pressure drop, water velocity, separation efficiency, and particle distribution. The results indicate that a thicker vortex finder wall could reduce pressure drop, tangential velocity magnitudes, and the flow rates of both short-circuit flow and circulation flow but increase the fluctuations of axial and radial velocities especially beneath the vortex finder where the AVWZ is formed. The leakage effect of short-circuit flow on sub-coarse particles is less significant than the fluctuation effect of AVWZ. The circulation flow in pre-separation space is beneficial to re separate the sub-fine and sub-coarse particles to improve the separation sharpness. Consequently, the hydrocyclone with a thin-walled vortex finder is more beneficial for efficient classification. (C) 2019 Elsevier B.V. All rights reserved.

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