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dc.contributorEscuela de Ingenierias Industrial e Informaticaes_ES
dc.contributor.authorRiego Del Castillo, Virginia 
dc.contributor.authorSánchez González, Lidia 
dc.contributor.authorFernández Robles, Laura 
dc.contributor.authorGutiérrez Fernández, Alexis 
dc.contributor.authorStrisciuglio, Nicola
dc.contributor.otherAlgebraes_ES
dc.date2021
dc.date.accessioned2022-03-31T11:35:33Z
dc.date.available2022-03-31T11:35:33Z
dc.identifier.citationRiego, V., Sánchez-González, L., Fernández-Robles, L., Gutiérrez-Fernández, A., & Strisciuglio, N. (2021). Burr detection and classification using RUSTICO and image processing[Formula presented]. Journal of Computational Science, 56. https://doi.org/10.1016/J.JOCS.2021.101485
dc.identifier.issn1877-7503
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S1877750321001538es_ES
dc.identifier.urihttp://hdl.handle.net/10612/14444
dc.description.abstract[EN] Machined workpieces must satisfy quality standards such as avoid the presence of burrs in edge finishing to reduce production costs and time. In this work we consider three types of burr that are determined by the distribution of the edge shape on a microscopic scale: knife-type (without imperfections), saw-type (presence of small splinters that could be accepted) and burr-breakage (substantial deformation that produces unusable workpieces). The proposed method includes RUSTICO to classify automatically the edge of each piece according to its burr type. Experimental results validate its effectiveness, yielding a 91.2% F1-Score and identifying completely the burr-breakage type.es_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectInformáticaes_ES
dc.subject.otherMilling machined partses_ES
dc.subject.otherBurrs in workpiecees_ES
dc.subject.otherBurr classificationes_ES
dc.subject.otherRUSTICOes_ES
dc.titleBurr detection and classification using RUSTICO and image processinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1016/j.jocs.2021.101485
dc.description.peerreviewedSIes_ES
dc.relation.projectIDinfo: eu-repo/grantAgreement/AEI/Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i/PID2019-108277GB-C21/ES/DESARROLLO DE SISTEMAS DE FABRICACION COLABORATIVOS EN PLATAFORMAS DE INTERNET INDUSTRIALESes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleJournal of Computational Sciencees_ES
dc.volume.number56es_ES
dc.page.initial101485es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco1203 Ciencia de Los Ordenadoreses_ES
dc.subject.unesco1203.11 Logicales de Ordenadoreses_ES


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