| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Dynamic Behavior of Materials X
|
| Presentation Title |
Identification of Primary Variables in Multi-grain Simulations for Stress Conditions Leading to Void Nucleation |
| Author(s) |
Samuel D. Dunham, William G. Powell, Curt A. Bronkhorst, Nan Chen, Marko Knezevic, Siddhartha Pathak |
| On-Site Speaker (Planned) |
Samuel D. Dunham |
| Abstract Scope |
In high-purity polycrystalline metallic materials, voids tend to favor grain boundaries as nucleation sites due to the elevated stress states produced by granular interactions and the weakened grain boundary from the relative atomic disorder. To quantify the key factors of this elevated stress state, simple compression of a small multi-grain cylinder of body-centered cubic (BCC) tantalum was simulated using a single crystal plasticity model that incorporates non-Schmid effects. A statistically significant amount of combinations of grains with varying orientations were simulated. A majority of these simulations produce its maximum von Mises stress on the grain boundary. After selecting factors that could contribute to the elevated stress state, a learning algorithm based on information theory was used to identify which of these factors contribute the most information to the data set. These identified factors produce a concise and physically relevant model for the maximum von Mises stress. |
| Proceedings Inclusion? |
Planned: |