Research Center for Advanced Manufacturing, Southern Methodist University, 3101 Dyer Street, Dallas, TX 75205, USA.
Sensors (Basel). 2011;11(1):506-21. doi: 10.3390/s110100506. Epub 2011 Jan 6.
Welding is a very complex process in which the final weld quality can be affected by many process parameters. In order to inspect the weld quality and detect the presence of various weld defects, different methods and systems are studied and developed. In this paper, a laser-based vision system is developed for non-destructive weld quality inspection. The vision sensor is designed based on the principle of laser triangulation. By processing the images acquired from the vision sensor, the geometrical features of the weld can be obtained. Through the visual analysis of the acquired 3D profiles of the weld, the presences as well as the positions and sizes of the weld defects can be accurately identified and therefore, the non-destructive weld quality inspection can be achieved.
焊接是一个非常复杂的过程，最终的焊接质量可能会受到许多工艺参数的影响。为了检查焊接质量并检测各种焊接缺陷，研究和开发了不同的方法和系统。在本文中，开发了一种基于激光的视觉系统，用于无损焊接质量检查。视觉传感器是根据激光三角测量原理设计的。通过处理从视觉传感器获得的图像，可以获得焊缝的几何特征。通过对获取的焊缝 3D 轮廓进行视觉分析，可以准确识别焊缝缺陷的存在以及位置和大小，从而实现无损焊接质量检查。
