- Title
- Application of the reflux classifier for measuring gravity recoverable product
- Creator
- Galvin, Kevin; Zhou, James
- Relation
- 2011 SME Annual Meeting & Exhibit and Colorado Mining Association 113th National Western Mining Conference. 2011 SME Annual Meeting & Exhibit and Colorado Mining Association 113th National Western Mining Conference: Proceedings (Denver, CO 27 February - 2 March, 2011) p. 153-161
- Relation
- http://app.knovel.com/web/toc.v/cid:kpSTMCER01/viewerType:toc/root_slug:separation-technologies/url_slug:separation-technologies/
- Publisher
- Society for Mining, Metallurgy & Exploration (SME)
- Resource Type
- conference paper
- Date
- 2012
- Description
- The characterisation of fine particles by size and density is fundamental to the design of mineral beneficiation plant and to modelling the separation achievable by a given technology. In the minerals industry this information is often limited to relatively low densities, or simply neglected and hence a laboratory scale trial of a given technology is invariably used. Often this assessment is only conducted over a limited range of product grade, and therefore the full grade-recovery relationship remains unknown. Further, in the absence of a bench-mark level of separation, it is difficult to assess the true performance of the equipment. The present paper outlines a novel method for measuring the gravity recoverable product from a given feed. The Reflux Classifier, a new separation technology, can be used in the laboratory under semi-batch conditions to achieve a form of flow fractionation. Combined with size fractionation, the method provides a basis for producing a close approach to the true grade recovery curve over the full range. A number of case studies are examined, and the underlying basis for the flow fractionation outlined with reference to the system hydrodynamics.
- Subject
- mineral benefication; reflux classifier; flow fractionation
- Identifier
- http://hdl.handle.net/1959.13/1300157
- Identifier
- uon:20017
- Identifier
- ISBN:9780873353397
- Language
- eng
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