Automation and Control Group in Manufacturing Processes - GRACO, University of Brasilia, Faculty of Technology, Department of Mechanical / Mechatronic Engineering, Campus Universitario Darcy Ribeiro-Asa Norte 70910-900-Brasilia/DF-Brazil; E-Mail:
Sensors (Basel). 2009;9(9):7150-66. doi: 10.3390/s90907150. Epub 2009 Sep 9.
Most of the inspection methods used for detection and localization of welding disturbances are based on the evaluation of some direct measurements of welding parameters. This direct measurement requires an insertion of sensors during the welding process which could somehow alter the behavior of the metallic transference. An inspection method that evaluates the GMA welding process evolution using a non-intrusive process sensing would allow not only the identification of disturbances during welding runs and thus reduce inspection time, but would also reduce the interference on the process caused by the direct sensing. In this paper a nonintrusive method for weld disturbance detection and localization for weld quality evaluation is demonstrated. The system is based on the acoustic sensing of the welding electrical arc. During repetitive tests in welds without disturbances, the stability acoustic parameters were calculated and used as comparison references for the detection and location of disturbances during the weld runs.
大多数用于检测和定位焊接干扰的检查方法都是基于对焊接参数的一些直接测量的评估。这种直接测量需要在焊接过程中插入传感器，这可能会在某种程度上改变金属传递的行为。一种使用非侵入式过程传感来评估 GMA 焊接过程演变的检查方法不仅可以在焊接过程中识别干扰，从而减少检查时间，而且还可以减少直接传感对过程的干扰。本文展示了一种用于焊接质量评估的焊接干扰检测和定位的非侵入式方法。该系统基于对焊接电弧的声学传感。在没有干扰的焊接重复测试中，计算了稳定的声学参数，并将其用作焊接过程中干扰检测和定位的比较参考。
