Statistical Modeling and Optimization on Laser Cladding Craft for Preparing CrB2/Cu Coating on Copper Substrate

Preparing copper matrix composite coating on Cu substrate by laser cladding method is difficult since high thermal conductivity and low absorption rate of Cu to infrared wavelength along with the complex influence of multi-processing parameters. In this work, laser beam power, defocus distance, and scanning speed are considered as the key factors influencing the coating quality, and output response includes the dilution ratio, clad height as well as clad width. By establishing a regression model between processing parameters and output response, an optimized craft to prepare high-quality copper matrix composite coating on the copper substrate was finally provided. Results indicate that the clad height and width increase with enhancing laser beam power but decrease with growing scanning speed. In addition, the dilution ratio increases with enhancing scanning speed and decreasing defocus distance. The mathematical model based on response surface methodology is credible to predict the key laser cladding parameters on dilution ratio, clad height and clad width within the error of 20