Multiobjective Optimization of Laser Milling Parameters of Microcavities for the Manufacturing of DES

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To access the full text documents, please follow this link: http://hdl.handle.net/10256/8788

dc.contributor	Ministerio de Ciencia e Innovación (Espanya)
dc.contributor.author	Teixidor Ezpeleta, Daniel
dc.contributor.author	Ciurana, Quim de
dc.contributor.author	Rodríguez González, Ciro Ángel
dc.date	2014-01-14T12:17:21Z
dc.date	2014-01-14T12:17:21Z
dc.date	2013
dc.identifier.citation	1042-6914 (versió paper)
dc.identifier.citation	1532-2475 (versió electrònica)
dc.identifier.uri	http://hdl.handle.net/10256/8788
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Taylor & Francis
dc.relation	http://dx.doi.org/10.1080/10426914.2013.832307
dc.relation	MICINN/PN 2010-2013/DPI2009-09852
dc.relation	Versió preprint del document publicat a: http://dx.doi.org/10.1080/10426914.2013.832307
dc.relation	© Materials and Manufacturing Processes, 2013, vol. 28, núm. 12, p. 1370-1378
dc.relation	Articles publicats (D-EMCI)
dc.relation	info:eu-repo/grantAgreement/EC/FP7/247476
dc.rights	Tots els drets reservats
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Làsers -- Aplicacions industrials
dc.subject	Lasers -- Industrial applications
dc.subject	Tecnologia mèdica
dc.subject	Medical technology
dc.title	Multiobjective Optimization of Laser Milling Parameters of Microcavities for the Manufacturing of DES
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/submittedVersion
dc.description.abstract	A multiobjective optimization of the laser milling process of microcavities for the manufacturing of drug eluting stents (DES) is presented. The diameter, depth, and volume error are considered to be optimized in function of the process parameters (scanning speed, laser intensity, and pulse frequency). Several experiments are carried out following a design of experiments in a nanosecond pulsed Nd:YAG laser machine on 316 L Stainless Steel as a work material. Two different geometries are studied, and they are considered as another variable for the model. The multiobjective optimization problem is solved by NSGA-II algorithm, and the nondominated Pareto-optimal fronts are obtained. The capability of the process to manufacture within a level of error is also investigated. Relative error capability maps for different scale of features are presented
dc.description.abstract	This work was partially carried out with the grant supports from the European Commission project IREBID (FP7-PEOPLE-2009-IRSES-247476) and the Spanish Science and Innovation Minister project TECNIPLAD (DPI2009-09852)

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