| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Novel Strategies for Rapid Acquisition and Processing of Large Datasets from Advanced Characterization Techniques
|
| Presentation Title |
G-19: Accessing the Microstructure State Space |
| Author(s) |
Dylan Miley, Jeremy Mason |
| On-Site Speaker (Planned) |
Dylan Miley |
| Abstract Scope |
The influx of high resolution microstructure data made readily available by advances in characterization methodologies has opened the doorway to understanding processing-structure-property relationships. Despite these advances, datasets for different material systems are often incompatible due to different microstructure data representations, preventing the development of a general materials database. To further the agenda of ICME and enhance our ability to extract information about the crucial interconnections of materials processing and phenomena to structure, general microstructure representation and comparison methodologies must be developed. We propose a framework that would allow for the integration of widely differing microstructure data and provide an approach to find processing pathways to an arbitrary microstructure. The basis of the framework employs the idea of a microstructure state space, with elements of the space being probability distributions of characteristic micrograph volume elements with correlated properties. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, ICME, Modeling and Simulation |