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Theoretical model of a multi-layered polymer coated steel-strip ironing process using a neural network

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Theoretical model of a multi-layered polymer coated steel-strip ironing process using a neural network

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dc.contributor.author Sellés Cantó, Miguel Ángel es_ES
dc.contributor.author Schmid, S. R. es_ES
dc.contributor.author Sanchez-Caballero, Samuel es_ES
dc.contributor.author Pérez Bernabeu, Elena es_ES
dc.contributor.author Reig Pérez, Miguel Jorge es_ES
dc.contributor.author Segui Llinares, Vicente Jesús es_ES
dc.date.accessioned 2015-12-15T11:59:01Z
dc.date.available 2015-12-15T11:59:01Z
dc.date.issued 2012
dc.identifier.issn 1662-9752
dc.identifier.uri http://hdl.handle.net/10251/58838
dc.description.abstract An alternative to the traditional can manufacturing process is to use plastic laminated rolled steels as base stocks. This material consist of pre-heated steel coils that are sandwiched between one or two sheets of polymer. The heated sheets are then immediately quenched, which yields a strong bond between the layers. Such polymer-coated steels were investigated by Jaworski [1,2] and Sellés [3], and found to be suitable for ironing with carefully controlled conditions. A novel multi-layer polymer coated steel has been developed for container applications. This material presents an interesting extension to previous research on polymer laminated steel in ironing, and offers several advantages over the previous material (Sellés [3]). This document shows a modelization for the ironing process (the most crucial step in can manufacturing) done by using a neural network. © (2012) Trans Tech Publications. es_ES
dc.description.sponsorship This work was supported by the “Universitat Politècnica de València” [grant number PAID-06-10-003-305] es_ES
dc.format.extent 139-144 es_ES
dc.language Inglés es_ES
dc.publisher Trans Tech Publications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Can es_ES
dc.subject Manufacturing es_ES
dc.subject Neural network es_ES
dc.subject Polymer coating es_ES
dc.subject Steel es_ES
dc.subject Base stock es_ES
dc.subject Coated steel es_ES
dc.subject Controlled conditions es_ES
dc.subject Ironing process es_ES
dc.subject Laminated steels es_ES
dc.subject Manufacturing process es_ES
dc.subject Modelization es_ES
dc.subject Multi-layered es_ES
dc.subject Rolled steel es_ES
dc.subject Steel coil es_ES
dc.subject Theoretical models es_ES
dc.subject Coated materials es_ES
dc.subject Industrial engineering es_ES
dc.subject Laminating es_ES
dc.subject Manufacture es_ES
dc.subject Neural networks es_ES
dc.subject Polymers es_ES
dc.subject Plastic coatings es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification INGENIERIA DE LOS PROCESOS DE FABRICACION es_ES
dc.subject.classification INGENIERIA MECANICA es_ES
dc.title Theoretical model of a multi-layered polymer coated steel-strip ironing process using a neural network es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4028/www.scientific.net/MSF.713.139
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-10-003-305/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Tecnología de Materiales - Institut de Tecnologia de Materials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Diseño para la Fabricación y Producción Automatizada - Institut de Disseny per a la Fabricació i Producció Automatitzada es_ES
dc.description.bibliographicCitation Sellés Cantó, MÁ.; Schmid, SR.; Sanchez-Caballero, S.; Pérez Bernabeu, E.; Reig Pérez, MJ.; Segui Llinares, VJ. (2012). Theoretical model of a multi-layered polymer coated steel-strip ironing process using a neural network. Trans Tech Publications. https://doi.org/10.4028/www.scientific.net/MSF.713.139 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 4th Manufacturing Engineering Society International Conference (MESIC) es_ES
dc.relation.conferencedate September 21-23, 2011 es_ES
dc.relation.conferenceplace Cadiz, Spain es_ES
dc.relation.publisherversion http://dx.doi.org/10.4028/www.scientific.net/MSF.713.139 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 223069 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.description.references J.A. Jaworski and S.R. Schmid: Trib. Trans. Vol. 42 (1999), pp.32-38. es_ES
dc.description.references J.A. Jaworski, S.R. Schmid and J.E. Wang: J. Manuf. Sci. and Eng. Vol. 121 (1999), pp.232-237. es_ES
dc.description.references M.A. Sellés, S.R. Schmid, V.J. Seguí: J. of Mat. Process. Tech. Vol. 202 (2008), pp.7-14. es_ES


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