| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Materials for Energy Conversion and Storage 2025
|
| Presentation Title |
Comprehensive 3D Analysis Methodology for Solid Oxide Cells |
| Author(s) |
Bartlomiej Winiarski, Pattiya Pibulchinda, Patrick Barthelemy, Chengge Jiao, Scott A. Barnett |
| On-Site Speaker (Planned) |
Bartlomiej Winiarski |
| Abstract Scope |
The performance and durability of solid oxide cell electrodes depend on their porous microstructure properties and evolution over time. Ga+ FIB-SEM tomography has been crucial for reconstructing SOC microscopic structures with nanometric precision but is limited to small volumes. Plasma FIB-SEM allows for investigating larger material volumes, advancing SOC microstructure studies.
The porous nature of SOC microstructures presents challenges, leading to artifacts like FIB curtaining and back-pore issues. Techniques such as pressure-filling pores with resin and rocking polish help mitigate these, though electron charging effects persist. Deep Learning methods show promise in addressing back-pore issues but struggle with electron charging.
Post-segmentation, SEM images are processed to create 3D digital representations. Numerical simulations incorporate morphological parameters like tortuosity and constrictivity to understand transport properties.
This contribution outlines a complete workflow for SOC microstructure characterization using a Plasma FIB-SEM, automated serial sectioning and DL segmentation, enabling detailed analysis and efficient data processing. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Machine Learning, Characterization, Energy Conversion and Storage |