| 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 |
Enabling Uninterrupted In-situ X-ray Experiments through Rapid Data Feedback and On-the-fly Experiment Optimization |
| Author(s) |
Sven E. Gustafson, Paul R. Dawson, Matthew P. Miller, Kelly E. Nygren |
| On-Site Speaker (Planned) |
Sven E. Gustafson |
| Abstract Scope |
The rapid development of synchrotron characterization techniques over the past decade has enabled a wide variety of in-situ experiments to investigate microstructural changes in metallic and geological systems. In these systems, subtle microstructural changes may produce substantial signal changes, which in turn necessitate altering the experimental set-up. This is prohibitive for in-situ experiments that require uninterrupted data collection to characterize transient behaviors. Through real-time analysis of information-rich synchrotron data, a framework has been developed to inform the user of the current material state and to alter experimental parameters to best utilize the detector, while still collecting all critical information. To demonstrate the framework’s capability prior to experimental validation, an x-ray experiment is simulated for a dual phase steel using mechanical modeling and virtual diffraction. Consistent data quality is theorized for a polycrystal which is deformed from an initial state of perfect single crystals and subsequently annealed by heating. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Modeling and Simulation, Iron and Steel |