Optimization and simulation of arc welding robot parameters based on offline programming

Automatic welding is most frequently utilized in engineering and manufacturing to improve efficiency. The importance of a robot in a current welding system takes full advantage of manual welding and regulates the burden of operator duties. The virtual process affects the operator's responsibilities, bead geometry, production quality, and shop floor platform. The goal of this study is to identify the simulation process parameter that has the greatest influence on variables such arc length, speed, and duration in arc welding. The Robot Studio ABB software has been utilized to make offline programming operations and to synchronize the route configuration of virtual arc welding robot and gun on imported solid geometry. Based on parameter data gathered from the robot studio, the simufact welding simulation configured the melting efficiency and bead geometry. The two simulation numerical variables data were used as input for the optimal solution validation in multi-objective optimization. The resulting emphasis of the experiment pursued on 0.001 m thickness of stainless-steel welding material: the melting efficiency is 0.42% and 467 Nm/s arc voltages during the arc travel of 0.0207 m/s and bead sensitivity are 2.68 VM/Nm/s. The MATLAB Pareto genetic algorithm is used to optimize the arc length, arc speed, and arc duration parameters adjusted in module language edit text format, which shows the preferred parameter of selected thickness. The results show that arc length and arc speed are practical as best solution dominators, while arc time is the non-dominating solution.