The use of artificial intelligence technique for the optimisation of process parameters used in the continuous casting of steel

dc.creatorSantos, CA
dc.creatorSpim, JA
dc.creatorIerardi, MCF
dc.creatorGarcia, A
dc.date2002
dc.dateNOV
dc.date2014-11-18T02:14:09Z
dc.date2015-11-26T17:45:24Z
dc.date2014-11-18T02:14:09Z
dc.date2015-11-26T17:45:24Z
dc.date.accessioned2018-03-29T00:27:45Z
dc.date.available2018-03-29T00:27:45Z
dc.identifierApplied Mathematical Modelling. Elsevier Science Inc, v. 26, n. 11, n. 1077, n. 1092, 2002.
dc.identifier0307-904X
dc.identifierWOS:000178672200005
dc.identifier10.1016/S0307-904X(02)00062-8
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/72583
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/72583
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/72583
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1288172
dc.descriptionThe productivity and quality of a continuous caster depend mainly on process parameters, i.e. casting speed, casting temperature, steel composition and cleanliness of the melt, water flow rates in the different cooling zones, etc. This work presents the development of an algorithm, which incorporates heuristic search techniques for direct application in metallurgical industries, particularly those using continuous casting process for the production of steel billets and slabs. This is done to determine the casting objectives of maximum casting rate as a function of casting constraints. These constraints are evaluated with the aid of a heat transfer and solidification model based on the finite difference technique, which has been developed and integrated with a genetic algorithm. The essential parts of continuous casting equipment, which must be subjected to monitoring, as well as a methodology of mathematical model and physical settlements in each cooling region, are presented. The efficiency of the intelligent system is assured by the optimisation of the continuous casting operation by maximum casting rate and defect-free products. This approach is applied to the real dimension of a steel continuous caster, in real conditions of operation, demonstrating that good results can be attained by using heuristic search, such as: smaller temperature gradients between sprays zones, reduction in water consumption and an increase in casting speed. (C) 2002 Elsevier Science Inc. All rights reserved.
dc.description26
dc.description11
dc.description1077
dc.description1092
dc.languageen
dc.publisherElsevier Science Inc
dc.publisherNew York
dc.publisherEUA
dc.relationApplied Mathematical Modelling
dc.relationAppl. Math. Model.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectcontinuous casting of steel
dc.subjectcontrol of solidification
dc.subjectheuristic search techniques
dc.subjectOptimization
dc.subjectSearch
dc.titleThe use of artificial intelligence technique for the optimisation of process parameters used in the continuous casting of steel
dc.typeArtículos de revistas


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