Predicting optimal operating points by modelling different flotation mechanisms

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dc.contributor.author Oosthuizen, Daniël Jacobus
dc.contributor.author Craig, Ian Keith
dc.date.accessioned 2020-07-15T07:47:03Z
dc.date.available 2020-07-15T07:47:03Z
dc.date.issued 2019
dc.description.abstract The 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.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian pm2020 en_ZA
dc.description.uri https://www.journals.elsevier.com/ifac-papersonline en_ZA
dc.identifier.citation Oosthuizen, 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.issn 2405-8963 (online)
dc.identifier.issn 1474-6670 (print)
dc.identifier.other 10.1016/j.ifacol.2019.09.164
dc.identifier.uri http://hdl.handle.net/2263/75233
dc.language.iso en en_ZA
dc.publisher International Federation of Automatic Control en_ZA
dc.rights © 2019 IFAC ( International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. en_ZA
dc.subject Flotation en_ZA
dc.subject Process optimisation en_ZA
dc.subject Modelling en_ZA
dc.title Predicting optimal operating points by modelling different flotation mechanisms en_ZA
dc.type Article en_ZA


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