Empirical Modeling and Multi-Objective Optimization of Laser Kerf Geometry in Aluminium Sheets using Response Surface Methodology and ANOVA

Abstract

Laser-based kerfing has been recognized as a potential machining process, considering its non-contact characteristics, precision, and versatility. In this study, an Nd: YVO4 laser with a wavelength of 1064 nm will be employed to study the kerfing process on Aluminium sheets. The main factors considered in the laser kerfing process include power, pulse frequency, and scanning velocity; effects on kerf width will be considered. The results will be presented by considering factors such as kerf width and depth. The experiments will be designed using the Response Surface Methodology, and response surfaces will be developed to study the interactions between factors and predict results. The study will also include a multi-objective optimization process, considering a minimum kerf width and a maximum kerf depth. Analysis of Variance will be applied to test the significance of factors considered in this study. It is found that the developed response surfaces have significant predictive capability. This study aims to contribute towards an accurate and sustainable laser-based kerfing process on Aluminium-based materials.