Modelling laser milling of microcavities for the manufacturing of DES with ensembles
dc.contributor.author
dc.date.accessioned
2015-03-24T10:41:05Z
dc.date.available
2015-03-24T10:41:05Z
dc.date.issued
2014
dc.identifier.issn
1110-757X
dc.identifier.uri
dc.description.abstract
A 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
dc.description.sponsorship
The authors would like to express their gratitude to the GREP research group at the University of Girona and the Tecnologico de Monterrey for access to their facilities during the experiments. This work was partially funded through Grants from the 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 Competitiveness
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Hindawi Publishing Corporation
dc.relation
info:eu-repo/grantAgreement/MICINN//DPI2009-09852/ES/Caracterizacion De Tecnologias Innovadoras Para La Planificacion Detallada De Procesos/
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1155/2014/439091
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© Journal of Applied Mathematics, 2014, vol. 2014, p. 439091
dc.relation.ispartofseries
Articles publicats (D-EMCI)
dc.rights
Attribution 3.0 Spain
dc.rights.uri
dc.title
Modelling laser milling of microcavities for the manufacturing of DES with ensembles
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.embargo.terms
Cap
dc.relation.projectID
info:eu-repo/grantAgreement/EC/FP7/247476/EU/INTERNATIONAL RESEARCH EXCHANGE FOR BIOMEDICAL DEVICES DESIGN AND PROTOTYPING/IREBID
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.contributor.funder
dc.relation.FundingProgramme
dc.relation.ProjectAcronym
dc.identifier.eissn
1687-0042