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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >A structured light vision sensor for on-line weld bead measurement and weld quality inspection
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A structured light vision sensor for on-line weld bead measurement and weld quality inspection

机译：用于在线焊接珠子测量和焊接质量检测的结构光视图传感器

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摘要

Weld bead measurement and weld quality inspection are important parts in industrial welding. In this paper, a structured light vision sensor is developed to achieve on-line weld bead measurement and weld quality inspection. Firstly, a structured light vision sensor with a narrow-band optical filter is developed to reduce welding noises such as arc lights and splashes. Secondly, the weld bead type identification algorithm including image pre-processing, baseline extraction, and weld bead classification is proposed to classify filling weld bead and capping weld bead. Thirdly, feature extraction algorithms of filling weld bead and capping weld bead are presented to obtain corresponding feature points. Combining the image coordinates of feature points with structured light vision model, the weld bead size could be obtained and the weld quality could be evaluated. Finally, many weld bead measurement and weld quality inspection experiments are conducted. Experimental results demonstrate that the developed structured light vision sensor and proposed methods could achieve satisfactory performance for weld quality inspection.
机译：焊接珠子测量和焊接质量检测是工业焊接中的重要零件。在本文中，开发了一种结构化光视传感器，实现了在线焊缝测量和焊接质量检查。首先，开发出具有窄带滤光器的结构化光视图传感器，以减少焊接噪声，例如弧灯和飞溅。其次，提出了包括图像预处理，基线提取和焊缝分类的焊缝型识别算法，以分类填充焊缝和封盖焊接珠子。第三，提出了填充焊缝和覆盖焊接珠的特征提取算法以获得相应的特征点。将特征点的图像坐标与结构光视型模型相结合，可以获得焊缝尺寸并且可以评估焊接质量。最后，进行了许多焊缝测量和焊接质量检测实验。实验结果表明，发达的结构光视图传感器和所提出的方法可以实现良好的焊接质量检查性能。

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