The use of a heuristic search technique for the optimization of quality of steel billets produced by continuous casting

dc.creatorCheung, N
dc.creatorGarcia, A
dc.date2001
dc.dateAPR
dc.date2014-11-18T02:03:47Z
dc.date2015-11-26T17:45:21Z
dc.date2014-11-18T02:03:47Z
dc.date2015-11-26T17:45:21Z
dc.date.accessioned2018-03-29T00:27:40Z
dc.date.available2018-03-29T00:27:40Z
dc.identifierEngineering Applications Of Artificial Intelligence. Pergamon-elsevier Science Ltd, v. 14, n. 2, n. 229, n. 238, 2001.
dc.identifier0952-1976
dc.identifierWOS:000167954100011
dc.identifier10.1016/S0952-1976(00)00075-0
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/72578
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/72578
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/72578
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1288155
dc.descriptionThis work proposes an interaction between a numerical heat transfer model and an artificial intelligence (AI) heuristic search method which is linked to a Knowledge Base for the continuous casting of quality billets (SAE 1010 steel). A two-dimensional heat transfer model was developed using a finite difference method and was applied to real dimensions of a steel billet continuous easter. The Knowledge Base consists of technological and metallurgical constraints. The heuristic search method, aided by the Knowledge Base, explores the space parameter settings in order to find optimized cooling conditions which results in defect free biller production with minimum metallurgical length. The use of the developed search method for determining optimum setting of cooling conditions demonstrated that very good results can be attained in assuring billet quality and in the improvement of easter performance. (C) 2001 Elsevier Science Ltd. All rights reserved.
dc.descriptionO TEXTO COMPLETO DESTE ARTIGO, ESTARÁ DISPONÍVEL À PARTIR DE NOVEMBRO DE 2014.
dc.description14
dc.description2
dc.description229
dc.description238
dc.languageen
dc.publisherPergamon-elsevier Science Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationEngineering Applications Of Artificial Intelligence
dc.relationEng. Appl. Artif. Intell.
dc.rightsembargo
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectartificial intelligence
dc.subjectheuristic search
dc.subjectoptimization
dc.subjectcontinuous casting
dc.subjectbillet
dc.subjectsteel
dc.subjectsolidification
dc.subjectmathematical model
dc.subjectquality
dc.subjectHeat-transfer
dc.subjectSolidification
dc.titleThe use of a heuristic search technique for the optimization of quality of steel billets produced by continuous casting
dc.typeArtículos de revistas


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