Transactions of Materials and Heat Treatment

Title：Online detection technology on contour defects for fine blanking parts

Authors： Zhang Haowu1 Peng Qun2 Yang Zeya1 Li Jiaying1 Du Guijiang2 Li Feng2 Guo Kang1

Unit： 1.Beijing Research Institute of Mechanical & Electrical Technology Co. Ltd. CAM 2.Beijing Research Institute of Mechanical & Electrical Technology Co. Ltd.CAM Yangzhou Branch

KeyWords： machine vision online detection fine blanking parts image registration contour detection

ClassificationCode：TP391.4; TP23

year,vol(issue):pagenumber：2022,47(12):206-211

Abstract：

In order to improve the speed and accuracy of contour detection for fine blanking parts of thick and flat plates, an online detection technology for contour defects was studied based on machine vision technology. Then, the edge lines were extracted from the mean shift filtered image by the Canny operator, and according to the size of standard contours (templates), the contours to be detected were selected. Due to the problems of angle and displacement deviation between the contour to be detected and the template, a two-step image registration algorithm was proposed, which first registered the angle and then registered the position, and the registered contour to be detected was graphically compared with the template. Furthermore, the difference image was processed by the algorithms such as morphological filtering to obtain the size and location of the defect area, thereby realizing the online detection of fine blanking parts. Finally, based on the research results, a set of online detection system for parts was designed and developed, and the experimental verification was carried out. The results show that the system can recognize parts with the accuracy of 0.4 mm, and the recognition time of each part is less than 0.3 s, which can fully meet the needs of online detection for contour defects in mass fine blanking parts.

Funds：

张昊武（1996-），男，硕士研究生 E-mail：tony_insect@163.com 通信作者：彭群（1971-），男，硕士，研究员 E-mail：pengqun89@163.com

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