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SEAM TRACKING DURING LASER BEAM WELDING OF TAILORED BLANKS WITH VISION SENSOR

机译:具有视觉传感器定制坯料的激光束焊接期间的缝追踪

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The main challenges in modern design of automobile bodies are reduction in weight and maximization of the structural stiffness and passive safety. The "tailored blank" has contributed to achieving a significant weight reduction which is single flat sheets joined by laser welding into the desired configuration without filler wire. Production of laser beam welded tailored blanks requires high speed, high precision and high quality. The welding robots that follow a preprogrammed path are often not able to guarantee a sufficient weld seam quality. Therefore, a seam tracking system is used to improve the reliability of the seam quality prediction. This paper describes the development of the seam tracking system for laser beam welding of tailored blanks. The system consists of DSP based vision camera and stripe-type laser diode. The total system is assembled into a compact module which can be attached ahead of welding torch. The images taken by the camera are analyzed using image processing algorithms. The image processing algorithms for extracting the feature points of weld seam are discussed depending on the characteristics of laser beam welding of tailored blanks. The accuracy of the industrial robots during the laser welding process was guaranteed by the compensation method A prototype sensor system has been developed and experimental results show its effectiveness and good performance.
机译:现代设计的汽车体设计的主要挑战减轻了结构刚度和被动安全性的重量和最大化。 “定制坯料”有助于实现通过激光焊接进入所需配置的单个平板的显着减轻,而无需填充丝。激光束焊接量身定制的坯料生产需要高速,精度高,品质高。遵循预编程路径的焊接机器人通常不能保证足够的焊缝质量。因此,接缝跟踪系统用于提高接缝质量预测的可靠性。本文介绍了用于定制坯料的激光束焊接接缝跟踪系统的开发。该系统由基于DSP的视觉相机和条带式激光二极管组成。总系统组装到紧凑的模块中,该紧凑型模块可以安装在焊接炬之前。使用图像处理算法分析相机拍摄的图像。根据定制坯料的激光束焊接的特性讨论了用于提取焊缝特征点的图像处理算法。通过补偿方法保证了在激光焊接过程中的工业机器人的准确性,该方法已经开发出原型传感器系统,实验结果表明其有效性和性能良好。

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