Modelling and simulation play an important role in improving our understanding of the tribological conditions at the tool-workpiece interface. They are used in the prediction of tool performance and in-process optimization. This requires a multi-faceted approach.
Atomic-scale simulations using Density Functional Theory (DFT) and thermodynamic simulations (CALPHAD) provide vital information about the micro-constituents and their interactions with the tool material.
Finite Element (FE) and semi-analytical simulation of the cutting process enable the estimation of tribological parameters and thermo-mechanical loads on the tool surfaces. The integration of these modelling approaches provides a unique opportunity to develop fundamental physics-based approaches for modelling and simulation of tool wear.
MCR has led several initiatives on a wide range of workpiece and tool materials.
Ahmet Sheikh Erturk, PhD student, Chalmers