Slag quantity minimization in the pyrometallurgical production of anode copper

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creativework.keywordsApproximate mathematical models, Compromise sollutions, Pareto-optimal solution, Pyrometallurgy of copper, Regressional model
creativework.publisherUniversity of Chemical Technology and Metallurgyjournal@uctm.eduen
dc.contributor.authorBorisov D.
dc.date.accessioned2024-07-16T11:16:49Z
dc.date.accessioned2024-07-16T11:18:54Z
dc.date.available2024-07-16T11:16:49Z
dc.date.available2024-07-16T11:18:54Z
dc.date.issued2019-01-01
dc.description.abstractApproximate mathematical models, numerical data and graphical results of conducted virtual planned experiments on a verified analytical mathematical model are presented in this article. Two adequate approximating polynomial mathematical models have been developed that can be used to optimize the beneficial product (mate) and to minimize the quantities of industrial waste (slag) in the pyrometallurgical processes of flash smelting of sulphide copper raw materials. The proposed mathematical models allow finding a number of Pareto - optimal solutions for components in charge in the metallurgical processes of sulfide copper concentrates flash smelting, which provide requirements for a maximum amount of mate and a minimum amount of slag. The approximation models can be used for operational planning, product optimization, process control and minimization of waste material flows.
dc.identifier.issn1314-7978
dc.identifier.issn1314-7471
dc.identifier.scopusSCOPUS_ID:85069767413en
dc.identifier.urihttps://rlib.uctm.edu/handle/123456789/1244
dc.language.isoen
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069767413&origin=inward
dc.titleSlag quantity minimization in the pyrometallurgical production of anode copper
dc.typeArticle
oaire.citation.issue5
oaire.citation.volume54
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