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dc.contributor.authorSantos González, Pedro
dc.contributor.authorTeixidor, Daniel
dc.contributor.authorMaudes Raedo, Jesús M. 
dc.contributor.authorCiurana, Joaquim
dc.date.accessioned2016-09-27T10:53:14Z
dc.date.available2016-09-27T10:53:14Z
dc.date.issued2014
dc.identifier.issn1110-757X
dc.identifier.urihttp://hdl.handle.net/10259/4243
dc.description.abstractA set of designed experiments, involving the use of a pulsed Nd:YAG laser system milling 316L Stainless Steel, serve to study the laser-milling process of microcavities in the manufacture of drug-eluting stents (DES). Diameter, depth, and volume error are considered to be optimized as functions of the process parameters, which include laser intensity, pulse frequency, and scanning speed. Two different DES shapes are studied that combine semispheres and cylinders. Process inputs and outputs are defined by considering the process parameters that can be changed under industrial conditions and the industrial requirements of this manufacturing process. In total, 162 different conditions are tested in a process that is modeled with the following state-of-the-art data-mining regression techniques: Support Vector Regression, Ensembles, Artificial Neural Networks, Linear Regression, and Nearest Neighbor Regression. Ensemble regression emerged as the most suitable technique for studying this industrial problem. Specifically, Iterated Bagging ensembles with unpruned model trees outperformed the other methods in the tests. This method can predict the geometrical dimensions of the machined microcavities with relative errors related to the main average value in the range of 3 to 23%, which are considered very accurate predictions, in view of the characteristics of this innovative industrial task.en
dc.description.sponsorshipThis work was partially funded through Grants fromthe IREBID Project (FP7-PEOPLE-2009-IRSES- 247476) of the European Commission and Projects TIN2011- 24046 and TECNIPLAD (DPI2009-09852) of the Spanish Ministry of Economy and Competitivenessen
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherHindawi Publishing Corporationen
dc.relation.ispartofJournal of Applied Mathematics. 2014, Article ID 439091, 15 pagesen
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleModelling laser milling of microcavities for the manufacturing of DES with ensemblesen
dc.typeArtículoes
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.relation.publisherversionhttp://dx.doi.org/10.1155/2014/439091
dc.identifier.doi10.1155/2014/439091
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/247476
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/TIN2011- 24046
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/TECNIPLAD/DPI2009-09852
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen


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