Machine-vision-based identification of broken inserts in edge profile milling heads

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• 作者：Laura Ferná ; ndez-Robles^a ; ^b ; ^{l.fernandez@unileon.es} ; George Azzopardi^b ; ^c ; ^{george.azzopardi@um.edu.mt} ; Enrique Alegre^a ; ^{enrique.alegre@unileon.es} ; Nicolai Petkov^b ; ^{n.petkov@rug.nl}
• 关键词：Machine vision ; Automatic identification ; Edge milling ; Tool breakage
• 刊名：Robotics and Computer-Integrated Manufacturing
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：44
• 期：Complete
• 页码：276-283
• 全文大小：1337 K
• 卷排序：44

文摘

A novel machine-vision-based method that detects broken inserts in milling heads. Unlike other methods, this approach does not require comparison to reference images. We demonstrate its effectiveness on a new data set of 144 images with 180 inserts. It is very efficient and it can be used without delaying any machining operations.