scholarly journals Weld Seam Deviation Prediction of Gas Metal Arc Welding Based on Arc Sound Signal

2021 ◽  
Vol 09 (01) ◽  
pp. 51-59
Author(s):  
Wang Zhao ◽  
Jianfeng Yue ◽  
Wenji Liu ◽  
Haihua Liu
Keyword(s):  
Arc Welding ◽  
Weld Seam ◽  
Gas Metal Arc Welding ◽  
Sound Signal ◽  
Metal Arc Welding ◽  
Arc Sound ◽  
Arc Sound Signal

scholarly journals Monitoring Gas Metal Arc Welding Process by Using Audible Sound Signal

2011 ◽  
Vol 2011 (03) ◽  
pp. 267-278 ◽  
Author(s):  
Jožef Horvat ◽  
Jurij Prezelj ◽  
Ivan Polajnar ◽  
Mirko Čudina
Keyword(s):  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Welding Process ◽  
Sound Signal ◽  
Metal Arc Welding ◽  
Audible Sound ◽  
Arc Welding Process

Vision-based weld seam tracking in gas metal arc welding

2007 ◽  
Vol 1 (3) ◽  
pp. 268-273 ◽  
Author(s):  
Jinqiang Gao ◽  
Chuansong Wu ◽  
Xizhang Liu ◽  
Dianxiu Xia
Keyword(s):  
Arc Welding ◽  
Weld Seam ◽  
Gas Metal Arc Welding ◽  
Seam Tracking ◽  
Metal Arc Welding ◽  
Weld Seam Tracking

Evaluation of the sound signal based on the welding current in the gas—metal arc welding process

2003 ◽  
Vol 217 (5) ◽  
pp. 483-494 ◽  
Author(s):  
M Čudina ◽  
J Prezelj
Keyword(s):  
Arc Welding ◽  
Short Circuit ◽  
Gas Metal Arc Welding ◽  
Welding Process ◽  
Welding Current ◽  
Sound Signal ◽  
Frequency Noise ◽  
Metal Arc Welding ◽  
Arc Welding Process ◽  
Good Agreement

In this paper sound generated during the gas-metal arc welding process in the short-circuit mode was studied. Theoretical and experimental analyses of the acoustic signals have shown that there are two main noise-generating mechanisms. The first mechanism generating characteristic sound impulses is arc extinction and arc ignition; the second noise-generating mechanism is the arc itself, which acts as an ionization sound source and produces mainly high-frequency noise of a low level. The sound signal is used for assessing and monitoring the welding process and for prediction of welding process stability and quality. A new algorithm based on the measured welding current was established for the calculation of emitted sound during the welding process. The algorithm was verified for different supply voltages and for different welding materials. The comparisons have shown that the calculated values are in good agreement with measured values of the sound signal.

Investigation on arc light intensity in gas metal arc welding. Part 2: Application to weld seam tracking

1997 ◽  
Vol 211 (5) ◽  
pp. 355-363 ◽  
Author(s):  
C D Yoo ◽  
H-K Sunwoo ◽  
K-I Koh
Keyword(s):  
Signal Processing ◽  
Light Intensity ◽  
Arc Welding ◽  
Weld Seam ◽  
Gas Metal Arc Welding ◽  
Welding Current ◽  
Seam Tracking ◽  
Processing Methods ◽  
Metal Arc Welding ◽  
Signal Processing Methods

The arc sensor has been widely used to detect the weld seam by monitoring welding current or voltage variation during weaving in gas metal arc welding (GMAW). In this work, the arc light intensity and welding resistance are utilized as the seam tracking sensor. Signal characteristics of the arc light intensity and welding resistance are compared when argon and CO2 gas are used for shielding. The performance of signal processing methods such as the least squares and integration methods is evaluated experimentally. It is found that the arc light intensity provides higher quality signals than welding resistance with CO2 gas. While both signal processing methods demonstrate almost equal seam tracking capabilities, the integration method appears to be more efficient because of the short computation time.

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