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Electrical and Computer Engineering

Electrical and Computer Engineering Faculty Publications

2014

Gas tungsten arc welding

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Double-Electrode Arc Welding Process: Principle, Variants, Control And Developments, Yi Lu, Shujun Chen, Yu Shi, Xiangrong Li, Jinsong Chen, Lee Kvidahl, Yu Ming Zhang Jan 2014

Double-Electrode Arc Welding Process: Principle, Variants, Control And Developments, Yi Lu, Shujun Chen, Yu Shi, Xiangrong Li, Jinsong Chen, Lee Kvidahl, Yu Ming Zhang

Electrical and Computer Engineering Faculty Publications

Double-electrode gas metal arc welding (DE-GMAW) is a novel welding process in which a second electrode, non-consumable or consumable, is added to bypass part of the wire current. The bypass current reduces the heat input in non-consumable DE-GMAW or increases the deposition rate in consumable DE-GMAW. The fixed correlation of the heat input with the deposition in conventional GMAW and its variants is thus changed and becomes controllable. At the University of Kentucky, DE-GMAW has been tested/developed by adding a plasma arc welding torch, a GTAW (gas tungsten arc welding) torch, a pair of GTAW torches, and a GMAW torch. …


A Tutorial On Learning Human Welder's Behavior: Sensing, Modeling, And Control, Y. K. Liu, W. J. Zhang, Yu Ming Zhang Jan 2014

A Tutorial On Learning Human Welder's Behavior: Sensing, Modeling, And Control, Y. K. Liu, W. J. Zhang, Yu Ming Zhang

Electrical and Computer Engineering Faculty Publications

Human welder's experiences and skills are critical for producing quality welds in manual GTAW process. Learning human welder's behavior can help develop next generation intelligent welding machines and train welders faster. In this tutorial paper, various aspects of mechanizing the welder's intelligence are surveyed, including sensing of the weld pool, modeling of the welder's adjustments and this model-based control approach. Specifically, different sensing methods of the weld pool are reviewed and a novel 3D vision-based sensing system developed at University of Kentucky is introduced. Characterization of the weld pool is performed and human intelligent model is constructed, including an extensive …