Title :
Weld quality assessment based on arc sensing for robotic welding
Author :
Lubecki, Tomasz Marek ; Bai, Fengjun
Author_Institution :
Mechatron. Group, Singapore Inst. of Manuf. Technol. (SIMTech), Singapore, Singapore
Abstract :
Robotic Metal Insert Gas (MIG) and Tungsten Insert Gas (TIG) welding are responses for growing need from industry for welding process automation. With the well-established process knowledge, a weld monitoring system is developed in this study for manual or robotic TIG/MIG welding to allow the detection of process inconsistency and to assess the welding quality in real-time. A new method of welding process signals analysis in time and frequency domains is proposed to enable an easy feedback to the robot controller in real-time. The paper includes the experimental results and statistical analysis. In addition, this paper includes non-destructive testing (NDT) results allowing to correlate the results from the proposed method and the selected weld defects.
Keywords :
arc welding; frequency-domain analysis; nondestructive testing; robotic welding; statistical analysis; time-domain analysis; NDT; arc sensing; frequency domains; nondestructive testing; process inconsistency detection; process knowledge; robot controller; robotic MIG welding; robotic TIG welding; robotic metal insert gas welding; statistical analysis; time domains; tungsten insert gas welding; weld defects; weld monitoring system; weld quality assessment; welding process automation; welding process signals analysis; Impedance; Monitoring; Robot sensing systems; Surface impedance; Surface treatment; Welding;
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on
DOI :
10.1109/AIM.2015.7222753
