Abstract
This paper presents a non-destructive inspection system for the self-piercing riveting (SPR) in carbon fiber reinforced plastic (CFRP)-metal joining products. The system employs a 6-degree of freedom robotic manipulator with a stereo vision system to measure the 3D depth and 2D surface profile of the joint using stereoscopic images. The proposed method applies a feature-selected segmentation algorithm and support vector machine to detect defects in the joints by comparing height differences between the target point profile and the target surroundings background profile. To verify the accuracy and performance of the proposed system, normal and abnormal cases were measured and classified using CFRP plate samples, and the method was then applied to the SPR joint in a CFRP b-pillar sample. The results demonstrate that the proposed system is reliable and accurate and has potential for real-world applications due to its high accuracy and reliability for quality control in SPR joint manufacturing.
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Acknowledgements
This research has been supported by Ministry of Trade, Industry and Energy (KEIT, Project No.20011498, Robotic CFRP- metal mechanical joining and adhesive bonding process for future automotive applications).
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Lee, H., Kim, J., Guo, X. et al. Non-destructive Inspection System for Self-piercing Riveting in CFRP-Metal Joining Product Using Stereoscopic Method with Robotic Manipulator. Int. J. Precis. Eng. Manuf. 24, 1625–1631 (2023). https://doi.org/10.1007/s12541-023-00888-3
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DOI: https://doi.org/10.1007/s12541-023-00888-3