Abstract:Optimizing surface quality during the cleaning process of shaped copper strips is critical to improve product performance and meet subsequent process requirements. In this study, three key factors were optimized by the response surface method: cleaning speed, brush roll speed and brush roll mesh. Surface roughness (Ra) and gloss (GU) were used as evaluation and prediction indicators. The Box-Behnken design was used to evaluate influence of factors through analysis of variance and residual probability distribution. The results showed that when cleaning speed was 20 m/min, brush roll speed was 1500 r/min, and the number of brush rolls was 2000 mesh, surface roughness of copper strip was reduced to 0.155 μm, and the gloss reached GU 186, which achieved a matte effect. This method effectively improved surface quality of special-shaped copper strips, and had the potential for industrial application.