Adaptive filling modeling of butt joints using genetic algorithm and neural network for laser welding with filler wire

indicated that the production of quality welds with desirable uniform weld appearances is ensured despite any gap variances, from 0.1 to 1.0 mm, and mismatches, from 0 to 1.2 mm. The results of the experiment showed that the proposed model is effective in describing the relationship between the joint geometrical parameters, the desired appearance, and the optimized welding parameters, lay the foundation of the subsequently adaptive control.