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dc.contributor.authorTucker, P.
dc.contributor.authorLewis, Kathleen
dc.contributor.authorWood, Peter
dc.date.accessioned2014-03-27T10:00:07Z
dc.date.available2014-03-27T10:00:07Z
dc.date.issued1991
dc.identifier.citationTucker , P , Lewis , K & Wood , P 1991 , ' Computer optimisation of a shaking table ' , Minerals Engineering , vol. 4 , no. 3/4 , pp. 355-367 . https://doi.org/10.1016/0892-6875(91)90141-H
dc.identifier.issn0892-6875
dc.identifier.otherPURE: 1044139
dc.identifier.otherPURE UUID: 8ca4966a-1122-4e34-b5e7-1a1458845594
dc.identifier.otherScopus: 0025742233
dc.identifier.otherORCID: /0000-0002-1672-5968/work/38925878
dc.identifier.urihttp://hdl.handle.net/2299/13213
dc.descriptionp. Tucker, K. A. Lewis, and P. Wood, 'Computer optimisation of a shaking table;, Minerals Engineering, Vol. 4 (3/4): 355-367, 1991. Available online at: http://www.sciencedirect.com/science/article/pii/089268759190141H. Also presented at a conference at Camborne School of Mines
dc.description.abstractThis paper describes work undertaken, under the 3rd. EC Raw Materials Programme in collaboration with Carnon Consolidated Ltd. (CCL) and Beralt Tin and Wolfram SA (BTW), on the development and application of a mathematical model of a shaking table concentrator. The first part of this paper describes the model and the background to its development. Within the model, the major innovation was the introduction of explicit ranking and band width functions for the constituent size/SG fractions, which related their point of discharge from the table (and therefore their recovery) by abundances as well as rank order. This new approach competition between individual size/SG fractions to be modelled directly. This, and other, new features (eg. implicit handling of feed classification, a switch parameter to account for table duty and geometry etc.) gave the model increased robustness and more general validity over a wider spectrum of table applications than could be achieved with previous models. The new model was validated on the table operations at BTW and CCL and also an pilot scale separations at WSL and elsewhere. The second part of the paper describes the application of the model to the optimisation of the primary gravity circuit of the Wheal Jane plant of CCL. The application described here was part of a longer term simulation study, which has already recorded significant benefit at the plant [6]. The application illustrates the role of modelling and simulation in providing quantitative decision support for metallurgical development.en
dc.format.extent13
dc.language.isoeng
dc.relation.ispartofMinerals Engineering
dc.subjectMinerals Processing
dc.subjectMinerals Extraction
dc.subjectComputer Simulation
dc.titleComputer optimisation of a shaking tableen
dc.contributor.institutionHealth & Human Sciences Research Institute
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionDepartment of Human and Environmental Sciences
dc.contributor.institutionGeography, Environment and Agriculture
dc.contributor.institutionAgriculture and Environment Research Unit
dc.contributor.institutionAgriculture, Veterinary and Food Sciences
dc.description.statusPeer reviewed
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1016/0892-6875(91)90141-H
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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