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Burr detection and classification using RUSTICO and image processing
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DOI：10.1016/j.jocs.2021.101485.png)
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Abstract
En 中文
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.
Keywords:
Milling machined parts
Burrs in workpiece
Burr classification
RUSTICO
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