Towards the Truly Predictive 3D Modeling of Recrystallization and Grain Growth in Advanced Technical Alloys
Abstract
This report results from a contract tasking Institute for Metal Physics, NAS of Ukraine as follows: The need for computer simulation of recrystallization and grain growth is driven by necessity to make quantitative predictions of the microstructure and properties of thermo mechanically processed materials. There are several approaches to modeling the recrystallization phenomenon: vertex models, phase field models, Monte Carlo (MC) models and Cellular automata (CA) models. For our opinion, further development of the MC Potts modeling approach has an outstanding perspective: it allows accounting for many factors which are spatially inhomogeneous and affect grain growth and recrystallization locally in 3D. The goal of the proposed project is to develop the widely used Monte Carlo (MC) Potts model of microstructural evolution in polycrystalline metallic materials to incorporate all possible combinations of exact grain boundary misorientation and inclination. In proposed approach the molecular dynamic (MD) simulation will use for the first time to simulate the misorientational dependence of grain boundary properties. This will help to fill the lack of reliable information on grain boundaries characteristics. As a result a predictive 3D modeling tool will be developed for simulating of microstructural evolution (i.e. grain growth and recrystallization) applicable to advanced technical alloys.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 11, 2010
- Accession Number
- ADA524303
Entities
People
- Orest Ivasishin