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Adaptive control of seam tracking through progressive HAZ and weld pool penetration using thickness measurement

机译:通过厚度测量,通过渐进的热影响区和焊缝熔深的自适应控制焊缝跟踪

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A mathematical model for predictive/adaptive control of weld bead penetration and seam tracking in tungsten inert gas welding as an approach to process control of robotic GTAW has been developed. Weld process parameters such as : base current and time, pulse current and time, electrode tip to workpiece distance, filler traveling speed, torch traveling speed and workpiece thickness have been used for finding the equations which describing interrelationship between the aforementioned variables and penetration depth as well as bead width. The calculation of these equations developed from the statistical regression analysis of 80 welds deposited using various combinations of welding parameters. For monitoring of workpiece thickness variations,an ultrasonic device has been used. In order to accurately control weld bead width and also seam tracking, a CCD camera was used. The results show that the misalignment or asymmetry of progressive HAZ adjacent to the weld puddle is detectable and can be used for control of trajectory. Scanning of a certain area of a captured image in front ofthe weld puddle decreases the data processing time drastically.
机译:建立了一种预测/自适应控制钨极惰性气体保护焊中焊缝熔深和焊缝跟踪的数学模型,作为机器人GTAW的过程控制方法。焊接工艺参数,例如:基础电流和时间,脉冲电流和时间,电极头到工件的距离,填料行进速度,焊枪行进速度和工件厚度已用于找到描述上述变量与熔深之间的相互关系的方程。以及珠子宽度。这些方程式的计算是根据对使用各种焊接参数组合进行的80条焊缝的统计回归分析得出的。为了监测工件的厚度变化,已经使用了超声设备。为了精确控制焊缝宽度以及焊缝跟踪,使用了CCD摄像机。结果表明,邻近焊接熔池的渐进热影响区的错位或不对称是可检测的,可用于控制轨迹。扫描焊缝前面某个区域的捕获图像会大大减少数据处理时间。

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