About this Abstract | 
  
   
    | Meeting | 
    2020 TMS Annual Meeting & Exhibition
       | 
  
   
    | Symposium 
       | 
    Algorithm Development in Materials Science and Engineering
       | 
  
   
    | Presentation Title | 
    New Workflow for High-throughput Feature Extraction of Deforming Open Cell Foams | 
  
   
    | Author(s) | 
    Steve  Petruzza, Attila  Gyulassy, Samuel  Leventhal, John  Jackson Baglino, Michael  Czabaj, Ashley  Spear, Valerio  Pascucci | 
  
   
    | On-Site Speaker (Planned) | 
    Steve  Petruzza | 
  
   
    | Abstract Scope | 
    
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. | 
  
   
    | Proceedings Inclusion? | 
    Planned: Supplemental Proceedings volume |