Abstract

This project has presented an approach to reducing surface roughness of milled work pieces of glass fiber reinforced polymer via excitation of the first axial mode of the vibration milling device. A combined application of numerical and experimental analysis has confirmed the validity of the proposed approach. Milling experiments demonstrated that excitation of the axial mode in the vibration milling tool leads to an appreciable reduction in the surface roughness of mild steel and glass fiber work pieces. We proposed a new technique to measure the surface roughness of material with vibration assisted milling process. For this process the main material used was glass fiber re enforced polymer but also the additional material were used like mild steel. Controlling vibration phenomena in production is one of the approaches for improving their efficiency. This also applies to cutting tool vibrations generated during machining, when the magnitude of the vibrations directly influences work piece surface quality. Conventional milling process gives rough surface which was the problem to the machining industries therefore recent developments to solve this problem are described in which one of the process is vibration assisted milling process. It is also a kind of natural idea which nobody has been done before on milling process. In this research the surface roughness of glass fiber reinforced polymer is tested under two main process, Vibration assisted milling process and conventional milling process and then the results obtained were compared.