A RE Methodology to achieve Accurate Polygon Models and NURBS Surfaces by Applying Different Data Processing Techniques
dc.contributor.author | Pascual Molero, Alejandro | |
dc.contributor.author | Ortega Rodríguez, Naiara | |
dc.contributor.author | Plaza Pascual, Soraya | |
dc.contributor.author | Holgado García, Ibon | |
dc.contributor.author | Arrizubieta Arrate, Jon Iñaki | |
dc.date.accessioned | 2020-12-10T12:09:27Z | |
dc.date.available | 2020-12-10T12:09:27Z | |
dc.date.issued | 2020-11-12 | |
dc.identifier.citation | Metals 10(11) : (2020) // Article ID 1508 | es_ES |
dc.identifier.issn | 2075-4701 | |
dc.identifier.uri | http://hdl.handle.net/10810/48883 | |
dc.description.abstract | The scope of this work is to present a reverse engineering (RE) methodology to achieve accurate polygon models for 3D printing or additive manufacturing (AM) applications, as well as NURBS (Non-Uniform Rational B-Splines) surfaces for advanced machining processes. The accuracy of the 3D models generated by this RE process depends on the data acquisition system, the scanning conditions and the data processing techniques. To carry out this study, workpieces of different material and geometry were selected, using X-ray computed tomography (XRCT) and a Laser Scanner (LS) as data acquisition systems for scanning purposes. Once this is done, this work focuses on the data processing step in order to assess the accuracy of applying different processing techniques. Special attention is given to the XRCT data processing step. For that reason, the models generated from the LS point clouds processing step were utilized as a reference to perform the deviation analysis. Nonetheless, the proposed methodology could be applied for both data inputs: 2D cross-sectional images and point clouds. Finally, the target outputs of this data processing chain were evaluated due to their own reverse engineering applications, highlighting the promising future of the proposed methodology. | es_ES |
dc.description.sponsorship | This research was funded by the he Department of Economic Development, Sustainability and Environment of the Basque Government for funding the KK-2020/00094 (INSPECTA) research project and the Spanish Ministry of Science and Innovation for funding the ALASURF project (PID2019-109220RB-I00). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/MCIU/PID2019-109220RB-I00 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | reverse engineering | es_ES |
dc.subject | X-ray computed tomography | es_ES |
dc.subject | laser scanner | es_ES |
dc.subject | polygon model (STL) | es_ES |
dc.subject | NURBS | es_ES |
dc.subject | data processing | es_ES |
dc.title | A RE Methodology to achieve Accurate Polygon Models and NURBS Surfaces by Applying Different Data Processing Techniques | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2020-11-26T14:09:39Z | |
dc.rights.holder | 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2075-4701/10/11/1508/htm | es_ES |
dc.identifier.doi | 10.3390/met10111508 | |
dc.departamentoes | Ingeniería mecánica | |
dc.departamentoeu | Ingeniaritza mekanikoa |
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Except where otherwise noted, this item's license is described as 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).