Virtualized welding based teleoperation with pipe gas tungsten arc welding applications

Abstract

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.

Sustainability in manufacturing processes: practices performed in metal forming, casting, heat treatment, welding and electrostatic painting

“…Practices References Application of protective measures to reduce the impact on operator health (Antonini 2003) Implementation of methodologies that seek the analysis of environmental impacts (Seliger 2007;Mittal and Sangwan 2014;Chang et al 2015) Use of automated processes for welding (Seliger 2007;Mittal and Sangwan 2014;Liu et al 2014) Use of welding wires that reduce the rate of smoke generation (coated with nano-alumina or similar technology) (Sivapirakasam et al 2015) Critical analysis regarding the possibilities of replacing the current welding process with another one with better sustainable performance (Gialos et al 2018) Control and minimization of energy consumption in the welding process (Sharma et al 2015) In Table 4, the first practice listed is related to employees. There are researches…”