Prediction of polycrystalline materials texture evolution in machining via Viscoplastic Self-Consistent modeling

摘要: Abstract The crystallographic orientation or anisotropy is one of the main microstructural attributes strongly affecting mechanical properties materials. It also an influential parameter to be considered during manufacturing process especially for ultra-precision machining since it affects part quality, tool performance, and productivity through material properties. In this study, a prediction toolset constituted Viscoplastic Self-Consistent model mechanics used predict texture evolution on machined surface. VPSC (Viscoplastic Self-Consistent) methodology which uses mechanisms slip twinning that are active in single crystals arbitrary symmetry was used. For this, analytical derived understand forces stresses generated by cutting at each workpiece point, then strain rate capture deforming finally orientations under various conditions. Experiments were performed orthogonal aluminum alloy AA-7075-T651 results compared predictions.