A methodology for multi-object optimization of laser/MIG hybrid welding process

In this article a methodology for multi-object optimization of laser/MIG hybrid welding of Al-Mg alloy is proposed. For modeling and analyzing the experimental responses, the response surface methodology (RSM) and the multiple response prediction (MRP) approaches were coupled. The laser power and the process speed were the input parameters, while heat affected zone, the porosity and the lack of penetration sizes the experimental outputs. Then, the optimized solution was implemented in a validated FEM model, for quicker numerical experiments. Finally, the methodology was tested with an experiment. The presented methodology can be applied to optimize weld quality in various welding processes.