|About this Abstract
||2023 TMS Annual Meeting & Exhibition
||Phase Transformations and Microstructural Evolution
||H-21: Study of the Evolution of the Crystallographic Texture of the Microstructure during Grain Growth
||Jose Nino, Oliver Johnson
|On-Site Speaker (Planned)
The evolution of the Grain Boundary Network (GBN) during grain growth strongly influences the final properties of the microstructure. If we could understand the influence of the initial microstructure, then it would be possible to identify a processing route to obtain a target microstructure from an initial microstructure. In order to identify processing routes, we use the orientation distribution function as the descriptor of the microstructure. We sample all possible crystallographic textures from the texture hull to generate initial microstructures. By using these microstructures as the initial point, we run grain growth simulations. Additionally, we analyze the evolution of these microstructures. We find out whether the microstructures evolve separately or if clusters of these microstructures converge to the same texture. Finally, we address the inverse problem: if the goal is to end up with a particular texture, what should be the texture of the initial microstructure?