|About this Abstract
||2020 TMS Annual Meeting & Exhibition
||Algorithm Development in Materials Science and Engineering
||New workflow for high-throughput feature extraction of deforming open cell foams
||Steve Petruzza, Attila Gyulassy, Samuel Leventhal, John Jackson Baglino, Michael Czabaj, Ashley Spear, Valerio Pascucci
|On-Site Speaker (Planned)
Metallic open-cell foams are promising structural materials with applications in multifunctional systems such as biomedical implants and energy absorbers. There is a high demand for means to understand and correlate the design space of material performance metrics to the material structure attributes such as ligament, void and node properties. Modern X-ray Computed Tomography (CT) scans are used to segment and characterize those features presenting several challenges and days of manual labor.
We present a new workflow for analysis of open-cell foams that combines a new density measurement to identify nodal structures, and topological approaches to identify ligament structures between them. Furthermore, we experiment the workflow measuring and tracking properties over time using a image sequences
of foams being compressed. Our approach allows researchers to study larger and more complex foams and enables the high-throughput analysis needed to predict future foam performance.
||Planned: Supplemental Proceedings volume