Multiphase modelling of hydrocyclones – prediction of cut-size

Brennan, Matthew; Mangadoddy, Narasimha; Holtham, P. N.

doi:10.1016/j.mineng.2006.10.010

Cited by 79 publications

(38 citation statements)

References 12 publications

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“…However papers [1,4,7] use same or even coarser meshes than in present case with surprisingly good results, although justification of such approach is arguable. Therefore present paper introduces a new approach: detached eddy simulation (DES) based on realizable kepsilon model.…”

Section: Introductionmentioning

confidence: 74%

“…Moreover the flow is unsteady due to the instability of the precessing vortex core. Hydrocyclone flows still present a challenge for CFD modelling due to the mentioned reasons [1][2][3][4][5][6][7][8][9][10][11][12]. It is worth noting that many features of the hydrocyclone flows are very similar to behaviour of cavitating vortex rope in draft tubes of hydraulic turbines, see [13].…”

Section: Introductionmentioning

confidence: 99%

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Simulation of multiphase flow in hydrocyclone

Rudolf

2013

EPJ Web of Conferences

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Abstract. Multiphase gas-liquid-solid swirling flow within hydrocyclone is simulated. Geometry and boundary conditions are based on Hsieh's 75 mm hydrocyclone. Extensive simulations point that standard mixture model with careful selection of interphase drag law is suitable for correct prediction of particle classification in case of dilute suspensions. However this approach fails for higher mass loading. It is also confirmed that Reynolds stress model is the best choice for multiphase modeling of the swirling flow on relatively coarse grids.

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Section: Introductionmentioning

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Simulation of multiphase flow in hydrocyclone

Rudolf

2013

EPJ Web of Conferences

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“…There are numerous numerical studies on the flow and the particle motion in hydrocyclones (Boysan et al, 1982;Brennan et al, 2007;Delgadillo and Rajamani, 2005;1996;He et al, 1999;Hsieh and Rajamani, 1988;Hsieh and Rajamani, 1991;Narasimha et al, 2006a;Narasimha et al, 2005;Nowakowski et al, 2004;Nowakowski et al, 2000;Suasnabar, 2000 andNarasimha 2010) and these studies have used a wide range of turbulence and multiphase models. It is well understood that in future studies, the focus should be to model the three-dimensional flow in a hydrocyclone with at least the Reynolds stress model/LES.…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

A semi-mechanistic model of hydrocyclones — Developed from industrial data and inputs from CFD

Narasimha

Mainza

Holtham

et al. 2014

International Journal of Mineral Processing

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Please cite this article as: Narasimha, M., Mainza, A.N., Holtham, P.N., Powell, M.S., Brennan, M.S., A semi-mechanistic model of hydrocyclones -developed from industrial data and inputs from CFD, International Journal of Mineral Processing (2014), doi: 10.1016/j.minpro.2014 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A C C E P T E D M A N U S C R I P T ABSTRACTThe flow behavior in hydrocyclones is extremely complex, leading the designers to rely on empirical equations for predicting cyclone performance. A number of classifying cyclone models have been developed and used in mineral comminution circuit simulators in the past. The problem with these empirical cyclone models is that they cannot be used outside the range of conditions under which they were developed. A semi-mechanistic hydrocyclone model is developed using the dimensionless approach based on both the fluid mechanics concepts from

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“…Several studies have been reported in the literature related to the separation process using hydrocyclones: Cullivan et al [5]; Petty and Parks [6]; Simões [7]; Brennan et al [8]; Delgadillo and Rajamani [9]; Sripriya et al [10]; Zhao et al [11]; Farias et al [12]; Martínez et al [13]; Mousavian and Najafi [14]; Wang and Yu [15]; Buriti [16].…”

Section: Introductionmentioning

confidence: 99%