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Modelling laser milling of microcavities for the manufacturing of DES with ensembles

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

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

© Journal of Applied Mathematics, 2014, vol. 2014, p. 439091

Hindawi Publishing Corporation

Author: Santos, Pedro Rosa
Teixidor Ezpeleta, Daniel
Maudes, Jesús M.
Ciurana, Quim de
Date: 2014
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
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
Format: application/pdf
ISSN: 1110-757X (versió paper)
1687-0042 (versió electrònica)
Document access: http://hdl.handle.net/10256/10185
Language: eng
Publisher: Hindawi Publishing Corporation
Collection: MICINN/PN 2010-2013/DPI2009-09852
Reproducció digital del document publicat a: http://dx.doi.org/10.1155/2014/439091
Articles publicats (D-EMCI)
info:eu-repo/grantAgreement/EC/FP7/247476
Is part of: © Journal of Applied Mathematics, 2014, vol. 2014, p. 439091
Rights: Attribution 3.0 Spain
Rights URI: http://creativecommons.org/licenses/by/3.0/es/
Subject: Làsers -- Aplicacions industrials
Lasers -- Industrial applications
Title: Modelling laser milling of microcavities for the manufacturing of DES with ensembles
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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