dc.creatorCheung, N
dc.creatorIerardi, MCF
dc.creatorGarcia, A
dc.creatorVilar, R
dc.date2000
dc.date2014-07-30T19:00:39Z
dc.date2015-11-26T17:50:31Z
dc.date2014-07-30T19:00:39Z
dc.date2015-11-26T17:50:31Z
dc.date.accessioned2018-03-29T00:33:44Z
dc.date.available2018-03-29T00:33:44Z
dc.identifierLasers In Engineering. Gordon Breach Sci Publ Ltd, v. 10, n. 4, n. 275, n. 291, 2000.
dc.identifier0898-1507
dc.identifierWOS:000165682300004
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/72582
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/72582
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1289700
dc.descriptionThis work proposes an interaction between a heat transfer model and an artificial intelligence (AI) heuristic search method which is linked to a Knowledge Basis for the optimization of a Laser Transformation Hardening (LTH) process. The developed computational program selects the best combinations of laser operational variables for the highest martensitic production acid for laser energy saving. The mathematical model consists on an analytical part to describe the workpiece laser heating and a numerical part for the cooling process. The Knowledge Basis is a rule-based system constituted of heat treatment constraints. The use of the developed search method for determining optimized laser operational variables can be considered a very effective tool in the improvement of the LTH process performance.
dc.description10
dc.description4
dc.description275
dc.description291
dc.languageen
dc.publisherGordon Breach Sci Publ Ltd
dc.publisherReading
dc.publisherInglaterra
dc.relationLasers In Engineering
dc.relationLaser Eng.
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectlaser transformation hardening
dc.subjectmathematical model
dc.subjectartificial intelligence
dc.subjectheuristic search
dc.titleThe use of artificial intelligence for the optimization of a laser transformation hardening process
dc.typeArtículos de revistas


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