Controlling laser surface strengthening process based on artificial neural network

Experiments show that metal surface properties may produce four results through laser strengthening treatment,i.e.non-transformation hardening,transformation hardening,shallow melt and melt.After analysis,the relationships between the four classifications and laser processing parameters,such as laser power,laser processing beam diameter,laser scanning velocity,have been established based on artificial neural network.HT300 experiments show that laser processing parameters can be chosen conveniently and material surface quality can be controlled effectively.