Keynote: Dr. Shuai Shao, The National Center for Additive Manufacturing Excellence (NCAME), Auburn University
3:00 – 4:00 PM
Potential for Model-Assisted and Data-Driven Qualification of Additively Manufactured Metallic Materials and Parts – Dr. Shuai Shao, The National Center for Additive Manufacturing Excellence (NCAME), Auburn University
Additive manufacturing technologies, with their significant potential, have attracted considerable interest across many industries. However, for additively manufactured (AM) parts to be trusted in load-bearing, safety-critical applications, their structural integrity must be thoroughly characterized. Bridging this gap is challenging due to issues unique to evaluating the performance of AM materials and components. Mechanical properties measured from laboratory specimens may not represent those of service parts, primarily because differences in geometry and size influence thermal histories during fabrication, which in turn affect microstructure and mechanical behavior. In addition, multiple sources of variability can alter the structure and properties of parts at different locations on a single build plate. Owing to these AM-specific challenges, generating reliable mechanical properties and design allowables remains difficult. This presentation provides an overview of these challenges and highlights the importance of establishing robust structure–property relationships for AM materials to enable model-assisted and data-driven qualification frameworks.