| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Grain Boundaries and Interfaces: Metastability, Disorder, and Non-Equilibrium Behavior
|
| Presentation Title |
Calculating Representative and Statistical Volume Elements for Grain Boundary Networks Using 3D Microstructural Data |
| Author(s) |
Jeremy Green, Nathan R Miller, Oliver K Johnson |
| On-Site Speaker (Planned) |
Nathan R Miller |
| Abstract Scope |
Appropriately sized microstructural samples can act as predictors for macroscopic material properties while minimizing experimental or computational time and cost. Representative volume elements (RVEs) or statistical volume elements (SVEs) define the smallest volume that reproduces some macroscopic microstructural statistic or material property. We have recently predicted the size or cardinality of 3D RVEs and SVEs for grain boundary networks (GBNs) using 2D microstructural data and stereological methods. However, advances in technology are increasing the prevalence of 3D microstructural data. In this work, synthetically generated 3D microstructures are used to provide the first direct calculations of RVEs and SVEs for GBNs. We compare these to RVEs and SVEs for crystallographic texture, in addition to the previous predictions based on stereological approaches. These results provide size recommendations which will aid computational and experimental researchers to make informed decisions regarding sample size, and thereby obtain quantitatively sound results. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Characterization, Other |