Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach

在汽车工业中，通过使用铝来减轻排放，大大减少了排放。它需要通过自刺穿的铆钉连接车身部分，而不是传统的点焊。我们的目标是填补这些接头的有效质量控制的技术空白。该项目预计将融合工业4.0原理、三维X射线技术、机器学习计算机视觉和结构力学来解决这一问题。预期的结果是对这些接头进行自动化友好评估的技术。这将有利于从医疗到电子等行业，自动发现复杂几何形状的固体中的随机和微妙异常，例如活组织或电子电路中的异常。

Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision and structural mechanics. The expected outcomes are technologies for automation-friendly assessment of these joints. This should benefit industries from medical to electronics to automatically spot a random and delicate abnormality within a solid of complex geometry, such as that in live tissue or an electronic circuit.