A Non-Intrusive GMA Welding Process Quality Monitoring System Using Acoustic Sensing
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
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Sensors 2009, 9(9), 7150-7166; https://doi.org/10.3390/s90907150
Received: 3 June 2009
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Revised: 23 July 2009
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Accepted: 18 August 2009
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Published: 9 September 2009
(This article belongs to the Section Chemical Sensors)
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.
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MDPI and ACS Style
Cayo, E.H.; Alfaro, S.C.A. A Non-Intrusive GMA Welding Process Quality Monitoring System Using Acoustic Sensing. Sensors 2009, 9, 7150-7166. https://doi.org/10.3390/s90907150
AMA Style
Cayo EH, Alfaro SCA. A Non-Intrusive GMA Welding Process Quality Monitoring System Using Acoustic Sensing. Sensors. 2009; 9(9):7150-7166. https://doi.org/10.3390/s90907150
Chicago/Turabian StyleCayo, Eber H., and Sadek C. A. Alfaro. 2009. "A Non-Intrusive GMA Welding Process Quality Monitoring System Using Acoustic Sensing" Sensors 9, no. 9: 7150-7166. https://doi.org/10.3390/s90907150
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