Predicting optimal operating points by modelling different flotation mechanisms

dc.contributor.authorOosthuizen, Daniël Jacobus
dc.contributor.authorCraig, Ian Keith
dc.contributor.emailian.craig@up.ac.za
dc.date.accessioned2020-07-15T07:47:03Z
dc.date.available2020-07-15T07:47:03Z
dc.date.issued2019
dc.description.abstractThe inverse relationship between grade and recovery in flotation circuits is well accepted, and forms the basis of control strategies used to maxisise recovery subject to grade specifications. The concept of peak air recovery however suggests that this relationship is more complex, and that a model of this peak could indicate an optimal operating point. In this paper froth stability is modelled using a combination of fundamental and empirical models. Potential applications of a non-linear model in optimising flotation performance investigated, and the benefits demonstrated.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.librarianpm2020en_ZA
dc.description.urihttps://www.journals.elsevier.com/ifac-papersonlineen_ZA
dc.identifier.citationOosthuizen, D.J. & Craig, I.K. 2019, 'Predicting optimal operating points by modelling different flotation mechanisms', IFAC-PapersOnLine, vol. 52, no. 14. pp. 60-65.en_ZA
dc.identifier.issn2405-8963 (online)
dc.identifier.issn1474-6670 (print)
dc.identifier.other10.1016/j.ifacol.2019.09.164
dc.identifier.urihttp://hdl.handle.net/2263/75233
dc.language.isoenen_ZA
dc.publisherInternational Federation of Automatic Controlen_ZA
dc.rights© 2019 IFAC ( International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.en_ZA
dc.subjectFlotationen_ZA
dc.subjectProcess optimisationen_ZA
dc.subjectModellingen_ZA
dc.titlePredicting optimal operating points by modelling different flotation mechanismsen_ZA
dc.typeArticleen_ZA

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