Profilometry as a Tool for Cutting Process Analysis

In this study, the profilometry as a tool for analyzing the cutting process was explored by means of a fast Fourier transform (FFT). Optimizing the cutting process will obviously lead to better machining quality, increased productivity and reduced cutting tool wear. Based on theoretical data on the surface formation during cutting as well as experimental data this study showed that predicting the final theoretical surface roughness by utilizing a mathematical model and Fourier analysis was most effective at certain feed rates. Thus, when the value of feed rate below a certain value the tool mark is washed out on the machined surface and its quality becomes difficult to predict. In turn, it requires a more complex mathematical model and taking into account a greater number of physical processes associated with the moment of cutting. The acquired date allow stating that the method of profilometry via the fast Fourier transform is suitable for predicting surface quality during rough machining where the tool mark remains on the surface in a more obvious form and the parameter feed rate \(\left( S \right)\) plays a key role in this matter.