- Title
- Continuous, dynamic and steady state simulation of the reflux classifier using a segregation-dispersion model
- Creator
- Syed, N. H.; Dickinson, J. E.; Galvin, K. P.; Moreno-Atanasio, R.
- Relation
- ARC.LP140100325 http://purl.org/au-research/grants/arc/LP140100325
- Relation
- Minerals Engineering Vol. 115, Issue January 2018, p. 53-67
- Publisher Link
- http://dx.doi.org/10.1016/j.mineng.2017.10.010
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2018
- Description
- A 2D continuous segregation-dispersion model incorporating a laminar- shear separation mechanism has been developed to describe the Reflux Classifier (RC). The RC, which consists of a fluidization zone, and a system of closely-spaced inclined channels, is now widely used to achieve gravity separation of a broad range of commodities. The narrow inclined channels promote the laminar-shear mechanism, leading to the selective shear-induced lift of low density particles, while allowing the fine and denser particles to deposit onto the inclined surfaces, and slide downwards. This mechanism allows a sharp density-based separation. The simulation results of this study have been validated using previously published experimental data. A total of 42 particle species were used in the simulations, corresponding to 6 different sizes and 7 different densities for each particle size, covering the particle size range of -2.0+0.125 mm. Simulation partition curves showed good agreement with the published experimental data, including the D 50 and E p values over the particle size range -2.0+0.25 mm. The model has also been tested to investigate the effect of high solid throughputs on the separation performance in the RC. The predictions of the fractional and cumulative ash % of the product and reject streams have been compared with the published experimental results demonstrating a good agreement and thus, the robustness of the model.
- Subject
- continuum model; hindered settling; inclined channels; reflux classifier; resuspension; segregation-dispersion model
- Identifier
- http://hdl.handle.net/1959.13/1400623
- Identifier
- uon:34790
- Identifier
- ISSN:0892-6875
- Rights
- © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
- Language
- eng
- Full Text
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