Publications
2021
Riego, Virginia; Sánchez-González, Lidia; Fernández-Robles, Laura; Gutiérrez-Fernández, Alexis; Strisciuglio, Nicola
Burr detection and classification using rustico and image processing Artículo de revista
En: Journal of computational science, vol. 56, pp. 101485, 2021, (Publisher: Elsevier).
Resumen | Enlaces | BibTeX | Etiquetas: Burr Classification, Burrs in Workpiece, Milling Machined Parts, RUSTICO
@article{riego_burr_2021,
title = {Burr detection and classification using rustico and image processing},
author = {Virginia Riego and Lidia Sánchez-González and Laura Fernández-Robles and Alexis Gutiérrez-Fernández and Nicola Strisciuglio},
url = {https://www.sciencedirect.com/science/article/pii/S1877750321001538},
year = {2021},
date = {2021-01-01},
journal = {Journal of computational science},
volume = {56},
pages = {101485},
abstract = {This study focuses on classifying burrs in edge finishing of machined workpieces to reduce production costs and time. It identifies three types of burrs: knife-type (no imperfections), saw-type (small splinters), and burr-breakage (substantial deformation). The proposed method, RUSTICO, automatically classifies the edge of each piece, achieving a 91.2% F1-Score and successfully identifying the burr-breakage type.},
note = {Publisher: Elsevier},
keywords = {Burr Classification, Burrs in Workpiece, Milling Machined Parts, RUSTICO},
pubstate = {published},
tppubtype = {article}
}
2020
del Castillo, Virginia Riego; Sánchez-González, Lidia; Fernández-Robles, Laura; Castejón-Limas, Manuel
Burr detection using image processing in milling workpieces Artículo de revista
En: International Workshop on Soft Computing Models in Industrial and Environmental Applications, pp. 751–759, 2020, (Publisher: Springer International Publishing Cham).
Resumen | Enlaces | BibTeX | Etiquetas: Burr Classification, Burrs in Workpiece, Milling Machined Parts, Quality Estimation
@article{riego_del_castillo_burr_2020,
title = {Burr detection using image processing in milling workpieces},
author = {Virginia Riego del Castillo and Lidia Sánchez-González and Laura Fernández-Robles and Manuel Castejón-Limas},
url = {https://link.springer.com/chapter/10.1007/978-3-030-57802-2_72},
year = {2020},
date = {2020-01-01},
journal = {International Workshop on Soft Computing Models in Industrial and Environmental Applications},
pages = {751–759},
abstract = {This paper proposes an automatic method to detect burrs and assess edge finishing quality in manufacturing processes using image processing and linear regression. The method isolates the slope of a calculated function to establish quality thresholds, successfully distinguishing between three types of burrs. The results validate its effectiveness in quality assessment.},
note = {Publisher: Springer International Publishing Cham},
keywords = {Burr Classification, Burrs in Workpiece, Milling Machined Parts, Quality Estimation},
pubstate = {published},
tppubtype = {article}
}