Comparison of optimization-regulation algorithms for secondary cooling in continuous steel casting

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dc.contributor.authorBřezina, Michalcs
dc.contributor.authorMauder, Tomášcs
dc.contributor.authorKlimeš, Lubomírcs
dc.contributor.authorŠtětina, Josefcs
dc.coverage.issue2cs
dc.coverage.volume11cs
dc.date.issued2021-02-01cs
dc.description.abstractThe paper presents the comparison of optimization-regulation algorithms applied to secondary cooling zone in continuous steel casting where the semi-product withdraws most of its thermal energy. In steel production, requirements towards obtaining defect-free semi-products are in-creasing day by day and the products, which would satisfy requirements of the consumers a few decades ago, are now far below the minimum required quality. To fulfill the quality demands towards minimum occurrence of defects in secondary cooling as possible, some regulation in the casting process is needed. The main concept of this paper is to analyze and compare the most known metaheuristic optimization approaches applied to the continuous steel casting process. Heat transfer and solidification phenomena are solved by using a fast 2.5D slice numerical model. The objective function is set to minimize the surface temperature differences in secondary cooling zones between calculated and targeted surface temperatures by suitable water flow rates through cooling nozzles. Obtained optimization results are discussed and the most suitable algorithm for this type of optimization problem is identified. Temperature deviations and cooling water flow rates in secondary cooling zone together with convergence rate and operation times needed to reach the stop criterium for each optimization approach are analysed and compared to target casting conditions based on a required temperature distribution of the strand. The paper also contains a brief description of applied heuristic algorithms. Some of the algorithms exhibited faster convergence rate than others, but the optimal solution was reached in every optimization run by only one algorithm.en
dc.formattextcs
dc.format.extent1-19cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationMetals. 2021, vol. 11, issue 2, p. 1-19.en
dc.identifier.doi10.3390/met11020237cs
dc.identifier.issn2075-4701cs
dc.identifier.orcid0000-0002-1447-2020cs
dc.identifier.orcid0000-0002-2042-9790cs
dc.identifier.orcid0000-0003-2133-3587cs
dc.identifier.orcid0000-0002-5084-547Xcs
dc.identifier.other168277cs
dc.identifier.researcheridB-6675-2011cs
dc.identifier.researcheridC-3489-2013cs
dc.identifier.researcheridE-9112-2010cs
dc.identifier.scopus36810004700cs
dc.identifier.scopus55259815100cs
dc.identifier.scopus6603877479cs
dc.identifier.urihttp://hdl.handle.net/11012/196750
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofMetalscs
dc.relation.urihttps://www.mdpi.com/2075-4701/11/2/237cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2075-4701/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectcontinuous castingen
dc.subjectsecondary coolingen
dc.subjectnumerical modelingen
dc.subjectthermal-solidification modelen
dc.subjectheu-ristic optimizationen
dc.titleComparison of optimization-regulation algorithms for secondary cooling in continuous steel castingen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-168277en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:46:51en
sync.item.modts2025.01.17 18:40:04en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Energetický ústavcs
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