The application of a controlled vibration to conventional machining processes – vibration-assisted machining (VAM) – has been explored for use in various industrial fields. The motivation for their use is that VAM can be used to improve productivity and facilitate reduction in the severity of machining conditions. One VAM application is controlled surface texturing. By precisely creating a desired surface texture on parts, the component performance can be more accurately modeled when compared to conventional surface texturing methods (e.g., honing). In this paper, the surface resulting from VAM processing is predicted and important characteristics of the surface evaluated using a Matlab code to identify the relationship between VAM parameters and machining result. The identified relationships can be compared to the results of actual machining experiments to facilitate calibrated models of the surface texturing process.
