2024-03-28T18:22:47Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/144442024-02-02T12:10:26Zcom_10612_17col_10612_18
Burr detection and classification using RUSTICO and image processing
Riego Del Castillo, Virginia
Sánchez González, Lidia
Fernández Robles, Laura
Gutiérrez Fernández, Alexis
Strisciuglio, Nicola
Algebra
Informática
[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.
2022-03-31T11:35:33Z
2022-03-31T11:35:33Z
info:eu-repo/semantics/article
Riego, 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
1877-7503
https://www.sciencedirect.com/science/article/pii/S1877750321001538
http://hdl.handle.net/10612/14444
10.1016/j.jocs.2021.101485
info: 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 INDUSTRIALES
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Elsevier