High Quality Steel Casting by Using Advanced Mathematical Methods

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dc.contributor.authorMauder, Tomášcs
dc.contributor.authorŠtětina, Josefcs
dc.coverage.issue12cs
dc.coverage.volume8cs
dc.date.issued2018-12-04cs
dc.description.abstractThe main concept of this paper is to utilize advanced numerical modelling techniques with self-regulation algorithm in order to reach optimal casting conditions for real-time casting control. Fully 3-D macro-solidification model for the continuous casting (CC) process and an original fuzzy logic regulator are combined. The fuzzy logic (FL) regulator reacts on signals from two data inputs, the temperature field and the historical steel quality database. FL adjust the cooling intensity as a function of casting speed and pouring temperature. This approach was originally designed for the special high-quality high-additive steel grades such as higher strength grades, steel for acidic environments, steel for the offshore technology and so forth. However, mentioned approach can be also used for any arbitrary low-carbon steel grades. The usability and results of this approach are demonstrated for steel grade S355, were the real historical data from quality database contains approximately 2000 heats. The presented original solution together with the large steel quality databases can be used as an independent CC prediction control system.en
dc.formattextcs
dc.format.extent1-13cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationMetals. 2018, vol. 8, issue 12, p. 1-13.en
dc.identifier.doi10.3390/met8121019cs
dc.identifier.issn2075-4701cs
dc.identifier.orcid0000-0002-2042-9790cs
dc.identifier.orcid0000-0002-5084-547Xcs
dc.identifier.other151794cs
dc.identifier.researcheridB-6675-2011cs
dc.identifier.researcheridE-9112-2010cs
dc.identifier.scopus36810004700cs
dc.identifier.scopus6603877479cs
dc.identifier.urihttp://hdl.handle.net/11012/137271
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofMetalscs
dc.relation.urihttps://www.mdpi.com/2075-4701/8/12/1019cs
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.subjectfuzzy logicen
dc.subjectcontinuous castingen
dc.subjectOptimal Coolingen
dc.subjectsteel quality predictionen
dc.titleHigh Quality Steel Casting by Using Advanced Mathematical Methodsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-151794en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:47:10en
sync.item.modts2025.01.17 16:47:56en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. EÚ-odbor termomechaniky a techniky prostředícs
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