Application of Regression Designs for Simulation of Laser Cladding

Abstract

Laser cladding is a complicated process controlled by most parameters such as laser beam, properties of matrix and powder, treatment status of base material, laser cladding parameters etc. The best way to choose the working conditions cheaply and fast is to use the processing simulation. The statistical modeling was used in this paper, which was developed after regression design based on the experimental results of 2Cr13 steel cladding with diode laser robotized system. The influence degrees of technological factors (laser power, laser scanning speed, defocusing amount and powder feeding rate) on the dimensions and hardness of laser clad layers were investigated.