Investigation on arc light intensity in gas metal arc welding. Part 1: Relationship between arc light intensity and arc length

1997 ◽  
Vol 211 (5) ◽  
pp. 345-353 ◽  
Author(s):  
C D Yoo ◽  
Y S Yoo ◽  
H-K Sunwoo
Keyword(s):  
Light Intensity ◽  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Welding Current ◽  
Arc Length ◽  
Metal Arc Welding ◽  
Proposed Model ◽  
Welding Part ◽  
The Relationship ◽  
Good Agreement

The arc length has been detected through the arc because the welding current and voltage vary linearly with the arc length. In this work, the relationship between the arc light intensity and arc length is investigated through analytic modelling. The arc light intensity is derived as a function of the arc length and welding current using the heat balance in the plasma. Experiments are carried out to verify the proposed model and to find out the effects of welding conditions on the arc light intensity in gas metal arc welding (GMAW). The arc light intensity varies proportionally to the arc length and signal quality is enhanced with a fast weaving speed. The predicted results of the arc light intensity show reasonably good agreement with the experimental data.

scholarly journals On the Visualization of Gas Metal Arc Welding Plasma and the Relationship Between Arc Length and Voltage

2017 ◽  
Vol 7 (5) ◽  
pp. 503 ◽  
Author(s):  
Emanuel Dos Santos ◽  
Letícia Kuroiwa ◽  
A. Ferreira ◽  
Rob Pistor ◽  
Adrian Gerlich
Keyword(s):  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Arc Length ◽  
Metal Arc Welding ◽  
The Relationship

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.

Application of a Front Tracking Method in Gas Metal Arc Welding (GMAW) Simulation

2004 ◽  
Vol 127 (3) ◽  
pp. 590-597 ◽  
Author(s):  
Guo Xu ◽  
William W. Schultz ◽  
Elijah Kannatey-Asibu
Keyword(s):  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Welding Current ◽  
Front Tracking ◽  
Front Tracking Method ◽  
Surface Method ◽  
Metal Arc Welding ◽  
Initial Drop ◽  
Velocity Pressure ◽  
First Time

A numerical model is developed to simulate the short-circuiting metal transfer process during gas metal arc welding (GMAW). The energy equation and the Marangoni convection are considered for the first time in analyzing the short-circuiting time. A front-tracking free surface method explicity tracks the profile of the liquid bridge. The electromagnetic field, distribution of velocity, pressure, and temperature are calculated using the developed model. Effects of welding current, surface tension temperature coefficient, and initial drop volume on short-circuiting duration time are examined. The results show that both the electromagnetic force and Marangoni shear stress play significant roles in short-circuiting transfer welding.

Short Circuit Severity Model for Pulse Gas Metal Arc Welding of Aluminum

2008 ◽  
Vol 580-582 ◽  
pp. 451-454 ◽  
Author(s):  
P. Praveen ◽  
K.D.V. Yarlagadda Prasad ◽  
M.J. Kang ◽  
Se Hun Rhee
Keyword(s):  
Experimental Data ◽  
Regression Model ◽  
Arc Welding ◽  
Short Circuit ◽  
Gas Metal Arc Welding ◽  
Multiple Regression Model ◽  
Optimization Techniques ◽  
Metal Arc Welding ◽  
Complete Automation ◽  
Good Agreement

Wide use of robotic machines for welding has necessitated the development of optimization techniques to achieve complete automation. The objective of the present study is to develop multiple regression model for quantitatively estimating the severity of the short circuit in pulse gas metal arc welding (GMAW-P) of aluminum, based on experimental results. The model results were found to be in good agreement with the experimental data and yielded satisfactory results.

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