Acoustic Emission Detection Signals in the Experimental Validation of Nanometric Machining Simulations

The molecular dynamics simulations of nanomachining processes have provided insight into process parameters, material removal and tool wear mechanisms. Simulation results clearly show the material removal phenomena of rubbing, ploughing and cutting. However, many of the simulation results are not backed up by experimental validations, even though they match intuitive guess. There is an attempt in this study to validate some of these results. In the validations of these molecular dynamics simulation of nanometric machining, experiments were carried out on a Nanoform 250 diamond turning machine tool. The tool-workpiece contact was determined by running preliminary passes and using Acoustic Emission (AE) sensors for the nano touch. The analyses of the acquired AE sensor signals have indicated that they can be useful in the detection of the material removal mechanisms.