Chip load sensitive performance in micro-face milling of engineering materials

The miniaturization of machine component is perceived by many as requirement for the future technological development of a broad spectrum of products. High-accuracy miniaturized components are increasingly demanded for various industries. Micro-component fabrication requires reliable and repeatable methods, with accurate analysis tools. Surface roughness is one of the most important parameters in the machining process. This research discusses an experimental approach to the development of mathematical model for surface roughness prediction before the milling process. This mathematical model is validated by equivalence variance test, i.e., F test. This study also presents the results of test done with high-speed face milling tool. The experiments were performed to investigate the influence of chip load on surface roughness along with other cutting parameters such as cutting speed and depth of cut for different engineering materials.