Optimization and Experimental Validation on the Frame of Resistance Spot Welding Gun

초록

Resistance spot welding gun is generally used to bond parts in the automotive and home appliance industry. The industrial robot is essential because most of the welding process is automated. The weight of the welding gun should be minimized to increase the efficiency of the robot motion. In this study, welding gun frame optimization is performed using genetic algorithm methods. Several parts of frame thickness are specified as variables and the optimization model is validated through both simulation and experiments. The weight is decreased by up to 14% and cost saving is also achieved.