Estimation of weld bead size in CO2 laser welding by using multiple regression and neural network

1999 ◽  
Vol 11 (3) ◽  
pp. 143-150 ◽  
Author(s):  
Hyunsung Park ◽  
Sehun Rhee
Keyword(s):  
Neural Network ◽  
Laser Welding ◽  
Multiple Regression ◽  
Co2 Laser ◽  
Weld Bead ◽  
Bead Size ◽  
Weld Bead Size

Semiadaptive Synergic-Fill Welding Tractor for Ship Unit Erection

2003 ◽  
Vol 19 (03) ◽  
pp. 151-158
Author(s):  
D. Harwig ◽  
B. Zheng ◽  
C. Reichert ◽  
T. Huang ◽  
A. Joseph ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Weld Bead ◽  
Seam Tracking ◽  
Welding Parameters ◽  
Bead Size ◽  
Welding Torch ◽  
Starting Point ◽  
Flux Cored Arc Welding ◽  
Joint Width ◽  
Weld Bead Size

At most U.S. shipyards, the bottleneck for improving productivity is unit fabrication and ship erection. Fit-up during unit, super-unit, and ship erection is difficult, resulting in variable gap and mismatch, which promote defects and repair. A semiadaptive synergic-fill welding tractor was developed for improving the productivity of seam welds during erection. The tractor has many features that advanced robots have but is simple to use because it relies on operator pass planning instead of robotic path preplanning. The "synergic-fill" welding concept was developed to maximize the deployment of robust welding procedures. This was a new control process for making changes to weld bead size during fabrication using one knob. The synergic-fill welding concept was developed for flux-cored arc welding of DH36 steels for horizontal erection seams. These seams have a range of gap and require a range of weld bead sizes to uniformly fill the weld seam. Welding parameters that ensured a constant base metal dilution were optimized and programmed into the synergic control. In addition, the welding tractor was developed with a laser seam tracking vision sensor and adaptive-fill control. The new control allows the operator to intervene during welding and toggle the adaptive features on and off. A special four-axis tractor was developed to permit cross-seam and torch height control for seam tracking while oscillating the welding torch. The laser sensor was integrated with modular fixturing to permit welding with either angled or transverse oscillation. The adaptive control algorithm varied the weld size from the synergic-fill starting point that was selected by the operator. The weld bead was made proportionally larger or smaller as the joint width became larger or smaller within the process capability range. A semiadaptive control algorithm was developed for the horizontal welding application. The process was not completely automatic. The operator, who plans the position of the welding torch for each weld bead in a layer, applies the process. Further, he made weld bead size decisions based on the joint width. Once the welding system was started, it tracked the bead location as the groove width changed, controlled the torch height, and can adaptively vary bead size relative to joint width. This flexible technology will minimize the susceptibility to defects during erection welding.

scholarly journals Characteristics of Weld Bead and Strength of Joint by Laser Welding of 87%Al2O3 Ceramics. High Power CO2 Laser Welding of 87%Al2O3 Ceramics. (Report 1).

1995 ◽  
Vol 13 (1) ◽  
pp. 71-76 ◽  
Author(s):  
Michio Tomie ◽  
Nobuyuki Abe ◽  
Shuichi Noguchi ◽  
Yoshiaki Arata ◽  
Tatsuharu Oda
Keyword(s):  
Laser Welding ◽  
Co2 Laser ◽  
High Power ◽  
Weld Bead

Study of shielding nozzles for CO2 laser welding

2004 ◽  
Author(s):  
Georges Caillibotte ◽  
Francis Briand ◽  
Kharim Chouf ◽  
Eric Verna ◽  
Charles Caristan
Keyword(s):  
Laser Welding ◽  
Co2 Laser

Characterization of keyhole plasma in 20 kW-class CO2 laser welding

1999 ◽  
Author(s):  
Jay F. Tu ◽  
Isamu Miyamoto ◽  
Takashi Inoue ◽  
Etsuji Ohmura ◽  
Kazuhiko Ono ◽  
...  
Keyword(s):  
Laser Welding ◽  
Co2 Laser
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