Robotic gas metal arc welding of small diameter saddle type joints using multistripe structured light

1999 ◽  
Vol 38 (11) ◽  
pp. 1943 ◽  
Author(s):  
Gary Bonser
Keyword(s):  
Arc Welding ◽  
Structured Light ◽  
Gas Metal Arc Welding ◽  
Small Diameter ◽  
Metal Arc Welding ◽  
Saddle Type

scholarly journals Additive remanufacturing of coupler knuckle based on robotic gas metal arc welding

2021 ◽  
Vol 2045 (1) ◽  
pp. 012009
Author(s):  
F Wang ◽  
Z Q Yin ◽  
X H Sun ◽  
X D Gong ◽  
L Kou ◽  
...  
Keyword(s):  
Arc Welding ◽  
3D Model ◽  
Structured Light ◽  
Gas Metal Arc Welding ◽  
Original Model ◽  
Layer By Layer ◽  
Boolean Operation ◽  
Metal Arc Welding ◽  
Robotic Gmaw ◽  
Mechanical Performances

Abstract Take the wear parts of coupler knuckle as an example, the “Modeling—Slicing — Stacking” mode remanufacturing process is studied. First, the 3D model of the of the worn coupler knuckle surface is acquired by structured light 3D detection. The remanufacturing model of the failure part is built by Boolean operation between the original model and the acquired 3D model. Second, the user can slice layer of the remanufacturing model according to the remanufacturing stacking parameters. The zone that surrounded by the contour of each sliced layer is the robotic GMAW remanufacturing stack region. Third, the robotic GMAW remanufacturing path is planed within the region mentioned above and the executable program is generated to carry out the remanufacturing task layer by layer. Moreover, the worn coupler knuckle was repaired by adopting Robotic GMAW Process. The mechanical performances of component were tested, the results indicate that the remanufactured coupler knuckle satisfying the operating requirements.

scholarly journals Two gas metal arc welding process dataset of arc parameters and input parameters

Data in Brief ◽  
2021 ◽  
Vol 35 ◽  
pp. 106790
Author(s):  
Rogfel Thompson Martinez ◽  
Guillermo Alvarez Bestard ◽  
Sadek C. Absi Alfaro
Keyword(s):  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Welding Process ◽  
Metal Arc Welding ◽  
Input Parameters ◽  
Arc Welding Process

scholarly journals Out-of-Control Multivariate Patterns Recognition Using D2 and SVM: A Study Case for GMAW

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 467
Author(s):  
Pamela Chiñas-Sanchez ◽  
Ismael Lopez-Juarez ◽  
Jose Antonio Vazquez-Lopez ◽  
Jose Luis Navarro-Gonzalez ◽  
Aidee Hernandez-Lopez
Keyword(s):  
Arc Welding ◽  
New Technologies ◽  
Gas Metal Arc Welding ◽  
Industrial Processes ◽  
Support Vector ◽  
Innovative Method ◽  
Metal Arc Welding ◽  
Vector Machines ◽  
Study Case ◽  
Multivariate Pattern

Industrial processes seek to improve their quality control, including new technologies and satisfying requirements for globalised markets. In this paper, we present an innovative method based on Multivariate Pattern Recognition (MVPR) and process monitoring in a real-world study case. By identifying a distinctive out-of-control multivariate pattern using the Support Vector Machines (SVM) and the Mahalanobis Distance D2 it is possible to infer the variables that disturbed the process; hence, possible faults can be predicted knowing the state of the process. The method is based on our previous work, and in this paper we present the method application for an automated process, namely, the robotic Gas Metal Arc Welding (GMAW). Results from the application indicate an overall accuracy up to 88.8%, which demonstrates the effectiveness of the method, which can also be used in other MVPR tasks.

Pulsed gas metal arc welding of Al–Cu–Li alloy

2005 ◽  
Vol 10 (1) ◽  
pp. 67-75 ◽  
Author(s):  
G. Padmanabham ◽  
S. Pandey ◽  
M. Schaper
Keyword(s):  
Arc Welding ◽  
Gas Metal Arc Welding ◽  
Metal Arc Welding
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