|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Computational Materials Discovery and Optimization – From Bulk to Materials Interfaces and 2D Materials
||Modeling Deformation and Recrystallization Textures Using Viscoplastic Self-consistent Polycrystal Plasticity
||Miroslav Zecevic, Ricardo Lebensohn, Rodney J McCabe, Marko Knezevic
|On-Site Speaker (Planned)
Predicting the microstructure evolution that accompanies thermomechanical processing remains a considerable challenge. We simulate rolling and recrystallization using mean field approaches. For rolling to high reductions we use the viscoplastic self-consistent (VPSC) polycrystal plasticity model that has been extended to incorporate calculations of intragranular misorientations. Experimentally, intragranular misorientations are caused by the accumulation of geometrically necessary defects that are part of the driving force for recrystallization. To predict recrystallization evolution, a mean field model is used with nucleation and growth rules based on calculated misorientation and strain energy. We compare predicted and experimental deformation and recrystallization textures for copper and uranium. We find that the extended VPSC model better predicts deformation textures than conventional VPSC, and that the recrystallization model can capture well many of the recrystallization texture features.
||Definite: None Selected