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CHEN Ming-yu, XIE Yue-chen, LV Xiong-tao, GUO Jian-rong, JIA Guo-jun, XU Zhi-peng, WANG Shi-ling, XIANG Zhen, LIU Dong. Research on the detection of surface and internal defects in cold rolled steel[J]. Chinese Optics. doi: 10.37188/CO.2023-0189
Citation: CHEN Ming-yu, XIE Yue-chen, LV Xiong-tao, GUO Jian-rong, JIA Guo-jun, XU Zhi-peng, WANG Shi-ling, XIANG Zhen, LIU Dong. Research on the detection of surface and internal defects in cold rolled steel[J]. Chinese Optics. doi: 10.37188/CO.2023-0189

Research on the detection of surface and internal defects in cold rolled steel

doi: 10.37188/CO.2023-0189
Funds:  Supported by National key research and development program (No. 2022YFB3403404); State Key Laboratory of Extreme Photonics and Instrumentation Innovation Program (No. EPI2023ZD01)
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  • This paper focuses on the comprehensive detection of defects in cold-rolled steel through examination for surface and internal defects. Regarding surface defect detection, a bilateral line light illumination scheme is proposed and compared with line light illumination. As for internal defect detection, the applicability of various metal internal inspection technologies such as X-ray, ultrasound, and infrared thermography is analyzed from the perspectives of detection resolution and defect edge characteristics. The results show that bilateral line light illumination not only increases the overall average precision of the YOLOv5 object detection algorithm model to 90.16% (an increase of 15.46% compared to the line light illumination) but also improves model classification and training efficiency. X-ray and ultrasound inspection technologies can detect blind holes with a diameter of 0.25 mm, while infrared thermography can detect blind holes with a diameter of 1 mm. In evaluating defect edge characteristics, X-ray inspection technology exhibits a minimum blind hole edge grayscale difference of 145, ultrasound of 89, and infrared thermography of 30. This study addresses the need for improved detection of surface defects in cold rolled steel and provides new research insights for the detection of internal defects.


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