Study on surface roughness in high-speed milling of AlMn1Cu using factorial design and partial least square regression

Anti-rust aluminum is widely used in aviation, aerospace, communications, as well as weapons with non-corrosion, light, and other fine characteristics. In this study, in order to improve the machined surface quality and find the functional relation between cutting parameters and surface roughness, a series of cutting experiments for AlMn1Cu were conducted, and the surface roughness values in high-speed milling were obtained. Firstly, according to the analysis of variance (ANOVA) of factorial experiments, the cutting parameters significantly influencing the surface roughness were presented. Secondly, the mathematical prediction models of surface roughness based on the cutting parameters were established by using the partial least squares regression. Finally, experiments are further designed and carried out to validate the accuracy of the proposed prediction model.