Research on Detection Algorithm of Partial Riveting Defects in Self-Piercing Riveting Based on Deep Learning
CUI Junjia1, ZHANG Jun1, XIAO Ruru2, JIANG Hao1, LIAO Yuxuan1, LI Guangyao2
1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China;
2. Shenzhen Automotive Research Institute (Shenzhen Research Institute of National Engineering Laboratory for Electric Vehicles), Beijing Institute of Technology, Shenzhen 518118, China
Self-piercing riveting technology is suitable for joining dissimilar materials such as aluminum and steel, and the joint performance is reliable, so it has a wide application scenario in the aviation industry. However, there are few relevant researches on nondestructive detection of self-piercing riveting defect at present. This paper proposes a deep learning-based partial riveting defect detection algorithm for self-piercing riveting. Firstly, the mechanical properties of partial riveting self-piercing riveting parts decreased by 5.6% compared with normal riveting parts through shear mechanical properties test. Then, the degree of partial riveting was defined in the range of 0 – 10 by the external features of self-piercing partial riveting parts. Finally, the detection algorithm was studied, and the detection effect difference between single-step detection and two-step detection was explored. The detection scheme of YOLOv5s (You Only Look Once v5s) and ResNet18 was proposed. In addition, the Gradient-weighted Class Activation Mapping (Grad-CAM) was used to visually explain the differences in the effects of different detection schemes. The test results showed that the proposed detection scheme of YOLOv5s plus ResNet18 could achieve 100% accuracy in the collected data test set, which was higher than the 95.18% accuracy achieved by only using YOLOv5s, and much higher than the 84.1% accuracy achieved by only using ResNet18.
崔俊佳,张军,莦茹茹,蒋浩,廖宇轩,李光耀. 基于深度学习的自冲铆接偏铆缺陷检测算法研究[J]. 航空制造技术, 2023, 66(6): 22-30.
CUI Junjia, ZHANG Jun, XIAO Ruru, JIANG Hao, LIAO Yuxuan, LI Guangyao. Research on Detection Algorithm of Partial Riveting Defects in Self-Piercing Riveting Based on Deep Learning[J]. Aeronautical Manufacturing Technology, 2023, 66(6): 22-30.