Optimisation of total roll power using genetic algorithms in a compact strip production plant

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dc.contributor.authorMarquez, Itziar
dc.contributor.authorArribas, Maribel
dc.contributor.authorCarrillo, Ana
dc.contributor.authorArana, Jose Luis
dc.contributor.institutionCIRMETAL
dc.date.accessioned2024-07-24T12:04:29Z
dc.date.available2024-07-24T12:04:29Z
dc.date.issued2013
dc.description.abstractThe application of optimisation techniques to hot rolling models can lead to the more efficient use of these models. In this work, a genetic algorithm has been used in order to design new hot rolling schedules with lower energy consumption through a reduction in the total roll power. Firstly, mean flow stress has been modelled for several Nb microalloyed steels produced in a compact strip production plant taking into account recrystallisation and precipitation models. The selected mean flow stress model has been validated against the values obtained from the industrial hot rolling forces using the Sims approach. Secondly, the model has been integrated with a genetic optimisation algorithm and new reductions have been proposed in order to decrease the total rolling power, maintaining all the requirements. The reductions achieved can be up to 10 %.en
dc.description.statusPeer reviewed
dc.format.extent11
dc.identifier.citationMarquez , I , Arribas , M , Carrillo , A & Arana , J L 2013 , ' Optimisation of total roll power using genetic algorithms in a compact strip production plant ' , International Journal of Materials Research , vol. 104 , no. 7 , pp. 686-696 . https://doi.org/10.3139/146.110916
dc.identifier.doi10.3139/146.110916
dc.identifier.issn1862-5282
dc.identifier.urihttps://hdl.handle.net/11556/3457
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84880867648&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofInternational Journal of Materials Research
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsCompact strip production
dc.subject.keywordsGenetic algorithms
dc.subject.keywordsMean flow stress
dc.subject.keywordsMicroalloyed steels
dc.subject.keywordsMicrostructural modelling
dc.subject.keywordsCondensed Matter Physics
dc.subject.keywordsPhysical and Theoretical Chemistry
dc.subject.keywordsMetals and Alloys
dc.subject.keywordsMaterials Chemistry
dc.titleOptimisation of total roll power using genetic algorithms in a compact strip production planten
dc.typejournal article
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