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dc.contributor.authorLewis, Kathleen
dc.contributor.authorTucker, Peter
dc.date.accessioned2013-04-23T09:56:58Z
dc.date.available2013-04-23T09:56:58Z
dc.date.issued1986
dc.identifier.citationLewis , K & Tucker , P 1986 , ' Computer method for simulating relative density distribution analysis with application to gravity separations ' , Mineral Processing and Extractive Metallurgy , vol. 95 , no. Section C , pp. 35-40 .
dc.identifier.issn1743-2855
dc.identifier.otherORCID: /0000-0002-1672-5968/work/38925906
dc.identifier.urihttp://hdl.handle.net/2299/10484
dc.descriptionKathleen Lewis, and Peter Tucker, ‘Computer method for simulating relative density distribution analysis with application to gravity separations’, Mineral Processing and Extractive Metallurgy, Vol. 95, Section C, published 1986.
dc.description.abstractA computer-based technique has been developed for the determination of specific gravity distribution profiles. It has been designed to overcome many of the practical and technical problems that are often encountered in conventional methods of determining specific gravity profiles, such as heavy-liquid analysis. The new technique relies on a minimum of easily obtainable input data (assays and particulate specific gravity measurements of bulk products) to predict the weights and associated assays of the fractionated products. Details of the method are given with practical examples. Results that were calculated by use of the model are compared with data collected from heavy-liquid analyses, enabling its scope and limitations to be assessed, and its applications are discussed.en
dc.format.extent3953469
dc.language.isoeng
dc.relation.ispartofMineral Processing and Extractive Metallurgy
dc.subjectMinerals extraction
dc.titleComputer method for simulating relative density distribution analysis with application to gravity separationsen
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionAgriculture and Environment Research Unit
dc.contributor.institutionCentre for Climate Change Research (C3R)
dc.contributor.institutionAgriculture and Environmental Management Research
dc.contributor.institutionAgriculture, Food and Veterinary Sciences
dc.contributor.institutionDepartment of Psychology, Sport and Geography
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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