About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Algorithms Development in Materials Science and Engineering
|
| Presentation Title |
Merging Experimental and Computational Tests of the Split-Hopkinson Pressure Bar: Implementing an Ontology-Based GUI with FAIR Principles. |
| Author(s) |
Erwin Cazares, Olga Wodo, David Elbert, Brian Schuster |
| On-Site Speaker (Planned) |
Erwin Cazares |
| Abstract Scope |
Using the Split-Hopkinson Pressure Bar technique, we explore the dynamic response of SS316-A356 interpenetrating phase composites. Following the FAIR principles, we have developed a laboratory-scale ontology to collect experiment metadata and raw strain signals using a guided-user interface. The methodology explores efforts to capture experiment metadata and data curation, considering reporting, visualization, and machine learning. We aim to optimize the Johnson-Cook strength model within our framework to evaluate candidate structures for controlled shear deformation in engineered lattice composites. By integrating the FAIR principles, we introduce a data pipeline to gain insight into the deformation mechanism under high-strain rate loading conditions and facilitate future machine learning applications. This approach enhances data transparency and reproducibility and allows for a more comprehensive understanding of material behavior, enabling researchers to make data-driven decisions and optimize processes. Finally, the approach described could be applied in large-scale laboratories or high-throughput methodologies. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Composites, Mechanical Properties, Modeling and Simulation |