RT info:eu-repo/semantics/article
T1 Burr detection and classification using RUSTICO and image processing
A1 Riego Del Castillo, Virginia
A1 Sánchez González, Lidia
A1 Fernández Robles, Laura
A1 Gutiérrez Fernández, Alexis
A1 Strisciuglio, Nicola
A2 Algebra
K1 Informática
K1 Milling machined parts
K1 Burrs in workpiece
K1 Burr classification
K1 RUSTICO
K1 1203 Ciencia de Los Ordenadores
K1 1203.11 Logicales de Ordenadores
AB [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.
PB Elsevier
SN 1877-7503
LK http://hdl.handle.net/10612/14444
UL http://hdl.handle.net/10612/14444
NO 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
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 03-jun-2024