Statistically Representative Three-Dimensional Microstructures for Modeling Microstructural Evolution in Aluminum
Abstract
Geometric and crystallographic observations from two orthogonal sections through a polycrystal were used as an input to the computer simulations to create a statistically representative three dimensional model. The microstructure is generated using a voxel-based tessellation technique. Assignment of orientations to the grains is done such that nearest neighbor relationships match the observed distributions. The microstructures thus obtained are allowed to evolve using a Monte-Carlo simulation. Anisotropic grain boundary properties are used in the simulations. Texture changes were observed during recrystallization in both experiments and in the corresponding simulations. Preliminary results demonstrate that the final texture has a strong dependence upon the nucleation scheme discussed in the paper. The good agreement between experiment and simulation obtained suggests that the assumptions about grain boundary anisotropy and nucleus placement were reasonable.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2003
- Accession Number
- ADA515831
Entities
People
- Abhijit Brahme
- Anthony D Rollett
- David M. Saylor
- Joseph Fridy
Organizations
- Carnegie Mellon University