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Robotic arc welding with on-line process monitoring based on the LMM analysis of the welding process stability

机译:基于LMM的机器人电弧焊在线过程监控基于焊接过程稳定性的分析

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Robotic Metal Inert Gas (MIG) and Tungsten Inert Gas (TIG) welding are the most widely used automated welding process in manufacturing industry. A novel robotic welding monitoring system is proposed and developed to detect inconsistencies during the welding process. The welding monitoring system assesses the weld quality and provides a real-time feedback to the welding robot. A new on-line analysis method based on Localized Minimum and Maximum (LMM) of welding current is developed. This study incorporates the method implementation on an ABB robotic welding cell and in-situ verification. The real-time quality feedback enables the adjustments on the welding parameters and the robot motion according to the detected process variation.
机译:机器人金属惰性气体(MIG)和钨极惰性气体(TIG)焊接是制造业中使用最广泛的自动化焊接工艺。提出并开发了一种新颖的机器人焊接监控系统,以检测焊接过程中的不一致性。焊接监控系统评估焊接质量并向焊接机器人提供实时反馈。开发了一种基于焊接电流局部最小和最大(LMM)的在线分析新方法。这项研究结合了在ABB机器人焊接单元上的方法实施和现场验证。实时质量反馈可根据检测到的过程变化对焊接参数和机器人运动进行调整。

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