| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
2023 Technical Division Student Poster Contest
|
| Presentation Title |
SPG-33: Modeling for Time Dependent Grain Boundary Evolution |
| Author(s) |
Lucero Lopez, Elizabeth Holm |
| On-Site Speaker (Planned) |
Lucero Lopez |
| Abstract Scope |
Analysis of grain boundary evolution is a critical step in understanding the relationship between microstructure and material properties. In experimental analysis we can see microstructure evolution in metals influences thermal-mechanical properties such as strength, hardness, and thermal and electrical conductivity, making the study of grain boundaries essential in Material Science. Computational simulations allow materials scientists to study the models that capture these phenomena. Our method is to compare three mesoscale models: Kinetic Monte Carlo, Probabilistic Cellular Automata, and Phase Field simulations for modeling grain growth and shrinkage, first in 2D and then 3D evolution. By comparing the uncertainty in grain lifetime in each of these models, the nature of grain evolution can be better understood. In particular, we begin to quantify how sensitive a microstructural outcome (grain disappearance) is to the details of the initial conditions. This helps bolster the relationship between grain structure and material properties. |
| Proceedings Inclusion? |
Undecided |
| Keywords |
Computational Materials Science & Engineering, ICME, Modeling and Simulation |