| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Grain Boundaries and Interfaces: Metastability, Disorder, and Non-Equilibrium Behavior
|
| Presentation Title |
Study of the Evolution of the Grain Boundary Network Using Spectral Graph Theory |
| Author(s) |
Jose Nino, Oliver Johnson |
| On-Site Speaker (Planned) |
Jose Nino |
| Abstract Scope |
The evolution of the structure of the Grain Boundary network (GBN) during grain growth strongly influences material properties. If we could characterize the structure of GBNs, then it would be possible to perform design/optimization for improved material performance. However, the structure of GBNs is highly complicated. Traditional microstructural descriptors like grain size distribution, orientation distribution function, or even grain boundary character distribution fail to encode the main features of the GBN, including e.g. its topological structure and the spatial distribution of GB types. For this reason, we apply a new technique called Spectral Graph Theory (SGT) which allows us to encode the GB character information as well as the topological structure of the GBN. We calculate and analyze the spectrum of several microstructures and develop a reconstruction method to obtain the microstructure from its spectrum. We evaluate whether the spectrum of a microstructure encodes the main features of the GBN. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Computational Materials Science & Engineering, Other |