Intelligent hybrid system of welding parameters for robotic arc-welding task-level offline programming

2000 ◽  
Author(s):  
Pai Peng ◽  
Jiansong Tian ◽  
Lin Wu ◽  
Ming Dai
Keyword(s):  
Hybrid System ◽  
Arc Welding ◽  
Welding Parameters ◽  
Offline Programming ◽  
Robotic Arc Welding ◽  
Task Level

Offline Programming for an Arc Welding Robot with Redundant DOF

2012 ◽  
Vol 184-185 ◽  
pp. 1623-1627 ◽  
Author(s):  
Huan Ming Chen ◽  
Zhou Ping Liu
Keyword(s):  
Arc Welding ◽  
Degrees Of Freedom ◽  
Motion Path ◽  
Welding Parameters ◽  
Programming System ◽  
Robot Controller ◽  
Offline Programming ◽  
Kinematics Simulation ◽  
Communication Module ◽  
Saddle Shape

To raise the programming efficiency of arc welding robots, the offline programming system was developed for a Motoman-UP20 robot with redundant degrees of freedom in VC++ integration environment. The system consists of kinematics analysis, motion simulation, welding trajectory plan, welding parameters plan and job file generating module. It can plan the motion path and posture of welding gun for saddle-shape seams, and display the workpiece on the interface synchronically. Job instructions can be made step by step, or generated automatically. Kinematics simulation module and communication module are integrated together, and job files can be exchanged between PC and robot controller via Ethernet to realize remote control.

Effect of welding parameters on automated robotic arc welding process

2020 ◽  
Vol 26 ◽  
pp. 2363-2367
Author(s):  
Aman Sharma ◽  
Kamal Sharma ◽  
Anas Islam ◽  
Debanik Roy
Keyword(s):  
Arc Welding ◽  
Welding Process ◽  
Welding Parameters ◽  
Robotic Arc Welding ◽  
Arc Welding Process

scholarly journals Image Segmentation Approaches for Weld Pool Monitoring during Robotic Arc Welding

2018 ◽  
Vol 8 (12) ◽  
pp. 2445 ◽  
Author(s):  
Zhenzhou Wang ◽  
Cunshan Zhang ◽  
Zhen Pan ◽  
Zihao Wang ◽  
Lina Liu ◽  
...  
Keyword(s):  
Weld Pool ◽  
Arc Welding ◽  
Welding Parameters ◽  
Pool Surface ◽  
Spline Fitting ◽  
Robotic Arc Welding ◽  
Enhancement Method ◽  
Weld Pool Surface ◽  
The Difference ◽  
Occurrence Matrix

There is a strong correlation between the geometry of the weld pool surface and the degree of penetration in arc welding. To measure the geometry of the weld pool surface robustly, many structured light laser line based monitoring systems have been proposed in recent years. The geometry of the specular weld pool could be computed from the reflected laser lines based on different principles. The prerequisite of accurate computation of the weld pool surface is to segment the reflected laser lines robustly and efficiently. To find the most effective segmentation solutions for the images captured with different welding parameters, different image processing algorithms are combined to form eight approaches and these approaches are compared both qualitatively and quantitatively in this paper. In particular, the gradient detection filter, the difference method and the GLCM (grey level co-occurrence matrix) are used to remove the uneven background. The spline fitting enhancement method is used to remove the fuzziness. The slope difference distribution-based threshold selection method is used to segment the laser lines from the background. Both qualitative and quantitative experiments are conducted to evaluate the accuracy and the efficiency of the proposed approaches extensively.

Effect of the Heat Input in the Transformation of Retained Austenite in Advanced Steels of Transformation Induced Plasticity (TRIP) Welded with Gas Metal Arc Welding

2013 ◽  
Vol 339 ◽  
pp. 700-705 ◽  
Author(s):  
Victor Lopez ◽  
Arturo Reyes ◽  
Patricia Zambrano
Keyword(s):  
Heat Input ◽  
Arc Welding ◽  
Retained Austenite ◽  
Volume Fraction ◽  
Gas Metal Arc Welding ◽  
Welding Process ◽  
Residual Austenite ◽  
Welding Parameters ◽  
Transformation Induced Plasticity ◽  
Metal Arc Welding

The effect of heat input on the transformation of retained austenite steels transformation induced plasticity (TRIP) was investigated in the heat affected zone (HAZ) of the Gas Metal Arc Welding GMAW process. The determination of retained austenite of the HAZ is important in optimizing the welding parameters when welding TRIP steels, because this will greatly influence the mechanical properties of the welding joint due to the transformation of residual austenite into martensite due to work hardening. Coupons were welded with high and low heat input for investigating the austenite transformation of the base metal due to heat applied by the welding process and was evaluated by optical microscopy and the method of X-Ray Diffraction (XRD). Data analyzed shows that the volume fraction of retained austenite in the HAZ increases with the heat input applied by the welding process, being greater as the heat input increase and decrease the cooling rate, this due to variation in the travel speed of the weld path.

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