The parameters of laser cladding have a significant impact on the quality of the coating, and appropriate process parameters can help improve coating performance. In this study, response surface methodology was used to establish the statistical relationship between input factors (laser power, powder feed rate, scanning speed) and responses (melting width, melting depth, melting height, dilution rate, microhardness). The experimental results were validated through variance analysis. The results showed that the scanning speed had the most significant influence on the cladding width and height, while the laser power had the most significant influence on the cladding depth. The scanning speed had the most significant impact on hardness, and the powder feed rate had the most significant impact on the dilution rate. Furthermore, the research on the predictive model revealed that the prediction errors for melting width, melting height, melting depth, dilution rate, and hardness were 6.46%, 0.72%, 1.79%, 2.47%, and 0.65%， respectively.