TY - GEN
T1 - Virtualized welding based teleoperation with pipe gas tungsten arc welding applications
AU - Liu, Yukang
AU - Shao, Zeng
AU - Zhang, Yuming
AU - Fu, Bo
AU - Yang, Ruigang
PY - 2014
Y1 - 2014
N2 - Automated welding robots are preferred in many applications since they outperform human welders who suffer from various physical limitations. Unfortunately, current industrial welding robots are basically articulated arms with a pre-programmed set of movement, lacking the intelligence skilled human welders possess. This paper serves as the first study to learn human welder intelligence in pipe Gas Tungsten Arc Welding (GTAW) utilizing a recently developed virtualized welding system. In particular, a 6-DOF UR-5 industrial robot arm is equipped with sensors to observe the welding process. Human welder operates a virtualized welding torch, whose motion is tracked/recorded. A correlation between the welding current and welding speed controlled by human welder is proposed for GTAW pipe welding with specified welding conditions. Satisfactory welds with consistent penetration are generated in welding experiments under different welding currents. It is also concluded that for top part of the pipe welding, instead of manipulating a full set of welding parameters, adjusting welding speed is sufficient to generate satisfactory welds. A foundation is thus established to transfer human intelligence to the welding robot.
AB - Automated welding robots are preferred in many applications since they outperform human welders who suffer from various physical limitations. Unfortunately, current industrial welding robots are basically articulated arms with a pre-programmed set of movement, lacking the intelligence skilled human welders possess. This paper serves as the first study to learn human welder intelligence in pipe Gas Tungsten Arc Welding (GTAW) utilizing a recently developed virtualized welding system. In particular, a 6-DOF UR-5 industrial robot arm is equipped with sensors to observe the welding process. Human welder operates a virtualized welding torch, whose motion is tracked/recorded. A correlation between the welding current and welding speed controlled by human welder is proposed for GTAW pipe welding with specified welding conditions. Satisfactory welds with consistent penetration are generated in welding experiments under different welding currents. It is also concluded that for top part of the pipe welding, instead of manipulating a full set of welding parameters, adjusting welding speed is sufficient to generate satisfactory welds. A foundation is thus established to transfer human intelligence to the welding robot.
UR - http://www.scopus.com/inward/record.url?scp=84906681832&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906681832&partnerID=8YFLogxK
U2 - 10.1109/AIM.2014.6878313
DO - 10.1109/AIM.2014.6878313
M3 - Conference contribution
AN - SCOPUS:84906681832
SN - 9781479957361
T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
SP - 1604
EP - 1609
BT - AIM 2014 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
T2 - 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2014
Y2 - 8 July 2014 through 11 July 2014
ER -