Physical analysis and modeling of the Falcon concentrator for beneficiation of ultrafine particles
A predictive model of the Falcon enhanced gravity separator has been derived from a physical analysis of its separation principle, and validated against experimental data. After summarizing the previous works that led to this model and the hypotheses on which they rely, the model is extended to cove...
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Veröffentlicht in: | International journal of mineral processing 2013-06, Vol.121, p.39-50 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | A predictive model of the Falcon enhanced gravity separator has been derived from a physical analysis of its separation principle, and validated against experimental data. After summarizing the previous works that led to this model and the hypotheses on which they rely, the model is extended to cover a wide range of operating conditions and particle properties. The most significant development presented here is the extension of the analytical law to concentrated suspensions, which makes it applicable to actual plant operating conditions. Two examples of industrial use cases are described and studied by interrogation of the model: dredged sediment waste reduction and coal recovery from fine tailings. Comparisons with empirical studies available in the literature show a good agreement between model predictions and industrial data. The model is then used to identify separation efficiency limitations as well as possible solutions to overcome them. These two examples serve to show how this predictive model can be used to obtain valuable information to improve physical separation processes using a Falcon concentrator, or to evaluate Falcon separator's abilities for new applications.
•Predictions of the physical separation achieved with a Falcon concentrator.•Extension of the analytical model to account for the effects of solid fraction.•Application to cleaning of dredged sediments and fine coal recovery.•Prediction based analysis of ways to improve processes involving a Falcon. |
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ISSN: | 0301-7516 1879-3525 |
DOI: | 10.1016/j.minpro.2013.02.009 |