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The hydrocyclone classifier — A numerical approach

The hydrocyclone classifier — A numerical approach

Pericleous, K.A. ORCID: 0000-0002-7426-9999 and Rhodes, N. (1986) The hydrocyclone classifier — A numerical approach. International Journal of Mineral Processing, 17 (1-2). pp. 23-43. ISSN 0301-7516 (doi:10.1016/0301-7516(86)90044-X)

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Abstract

A user-oriented mathematical model of the hydrocyclone classifier is described. The model uses state-of-the-art numerical techniques to solve the discretised form of the Navier-Stokes equations relating to pulp velocities, and the transport equations for air and particle concentrations. Turbulence closure is affected by employing a turbulence model which takes into direct account the effects of swirl and the presence of particles. An algebraic slip approach is used to model the relative movement of particles in the cyclone and also the formation of the air-core.

The calculation produces point-by-point values of the three pulp velocity components, the pressure, the mass fraction of particles and the mass fraction of air which eventually forms the air core.

The model is general in its formulation and not subject to geometrical or operational constraints. It is here validated by comparison to the well known Kelsall (1952) experiment. The predicted velocity profiles agree well with experiment, and flow rate (pressure drop), flow split, cut point and efficiency curve compare well with a number of empirical formulae. The particle profiles show not only a build-up at the cyclone conical surface but also the existence of an equilibrium radius for each particle size.

Item Type: Article
Uncontrolled Keywords: hydrocyclones, mineral separation, multi-phase flow, CFD
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:15
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5968

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