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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 |