An Analysis of Gas Metal Arc Welding Using the Lyapunov Exponent

The characteristics of chaos are unique to the technique of gas metal arc welding (GMAW), which can be safely classified as being a nonlinear process. In this article, salient aspects relevant to the development and use of computational technique to accurately calculate the maximum Lyapunov exponent of the welding processes for different parameters is presented and discussed. The maximum Lyapunov exponent is then used to evaluate stability of the welding process while concurrently aiding in the selection of the welding parameters. Careful analysis of the results reveals overall chaos to exist in the gas metal arc welding process for the different droplet transfer modes. Overall stability of the welding process is related to the chaos that is generated and exists. The maximum Lyapunov exponent can be safely used as a valid criterion for evaluating the stability of the welding process. This aids in the selection of an optimized welding parameter for the welding process to form a weld bead that has both quality and integrity.

[1]  Fraser,et al.  Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.

[2]  Li Yan Correlation dimension analysis of current in GMAW welding , 2012 .

[3]  王振民,et al.  Study on chaos in short circuit gas metal arc welding process , 2007 .

[4]  Jun Chen,et al.  An arc stability evaluation approach for SW AC SAW based on Lyapunov exponent of welding current , 2013 .

[5]  Américo Scotti,et al.  A scientific application oriented classification for metal transfer modes in GMA welding , 2012 .

[6]  L. Cao Practical method for determining the minimum embedding dimension of a scalar time series , 1997 .

[7]  H. W. Ludewig,et al.  Detection of Weld Surface Porosity by Statistical Analysis of Arc Current in Gas Metal Arc Welding , 2001 .

[8]  Lin Wu,et al.  Adaptive interval model control of weld pool surface in pulsed gas metal arc welding , 2012, Autom..

[9]  T. Srivatsan,et al.  On the Use of Arc Radiation to Detect the Quality of Gas Metal Arc Welds , 2011 .

[10]  Kamal Pal,et al.  Monitoring of Weld Penetration Using Arc Acoustics , 2011 .

[11]  J. Hoffman,et al.  Plasma plume oscillations during welding of thin metal sheets with a CW CO2 laser , 2001 .

[12]  T. Srivatsan,et al.  On the Use of Gas Metal Arc Welding for Manufacturing Beams of Commercially Pure Titanium and a Titanium Alloy , 2011 .

[13]  P. K. Ghosh,et al.  Process Characteristics of Inverter Type GMAW Power Source Under Static and Dynamic Operating Conditions , 2012 .

[14]  James P. Crutchfield,et al.  Geometry from a Time Series , 1980 .

[15]  A. Wolf,et al.  Determining Lyapunov exponents from a time series , 1985 .

[16]  J. Kurzyna,et al.  Searching for chaos in fluctuations of a plasma induced during cw- laser welding , 1998 .

[17]  P. K. Ghosh,et al.  Thermal Characteristics of Weld and HAZ during Pulse Current Gas Metal Arc Weld Bead Deposition on HSLA Steel Plate , 2010 .