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Process control of gas metal arc welding processes by optical weld pool observation with combined quality models

机译:通过光学熔池观察和组合质量模型对气体金属电弧焊工艺进行过程控制

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At the Institute of Welding and Joining Technology at RWTH Aachen University, an optical sensor system has been realized which allows the online observation of the weld pool while the process is executed. Therefore, an image processing software has been developed which provides information about the actual width of the weld pool as well as the actual position of the gap in relation to the position of the wire electrode. With this process information, the resulting width of the weld and the width of the misalignment of the welding torch can be deduced. These data shall be used to adapt setting parameters at the occurrence of deviations to guarantee a consistent weld geometry and position. On the one hand, it will be illustrated how information about the weld width can help to improve and simplify quality models. On the other hand, the weld width obtained by image evaluation will be correlated to real macro-sections and the adjusted values will be used as input for a calculation of further geometry parameters. Associated with setting parameters like welding speed and wire feed speed, these information provide the basis for quality models which are used to control and supervise the process.
机译:在亚琛工业大学焊接与连接技术研究所,已经实现了一种光学传感器系统,该系统可以在执行过程的同时在线观察焊缝池。因此,已经开发出一种图像处理软件,其提供关于焊池的实际宽度以及相对于焊丝电极的位置的间隙的实际位置的信息。利用该过程信息,可以推断出所得的焊缝宽度和焊枪的未对准宽度。这些数据应用于在出现偏差时调整设置参数,以确保焊缝几何形状和位置一致。一方面,将说明有关焊缝宽度的信息如何帮助改善和简化质量模型。另一方面,通过图像评估获得的焊缝宽度将与实际的宏观截面相关联,并且将调整后的值用作其他几何参数计算的输入。与诸如焊接速度和送丝速度之类的设置参数相关联,这些信息为用于控制和监督过程的质量模型提供了基础。

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