About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
| Presentation Title |
Thermodynamic Modeling to Guide Process Optimization Through Minimization of Sigma Phase Formation in Graded Stainless Steel–Vanadium Structures |
| Author(s) |
Mikayla Obrist, Bernard Gaskey, Cheryl Hawk, Robert Hackenberg, Saryu Fensin, John Carpenter |
| On-Site Speaker (Planned) |
Mikayla Obrist |
| Abstract Scope |
Sigma phase is an intermetallic compound known for its brittleness and detrimental impact on mechanical properties. Its formation can compromise the integrity of stainless steels (SS) and related alloys, especially under rapid thermal cycling typical of additive manufacturing (AM). Mitigating sigma phase is key to optimizing AM processes, where thermal history drives microstructural evolution. This study optimizes an electron beam directed energy deposition (EB-DED) strategy to join SS and vanadium (V), minimizing sigma phase formation through computational thermodynamic modeling. V is used as a transition material to join SS and titanium (Ti), a pairing limited by metallurgical incompatibilities. The work integrates thermodynamic and kinetic modeling to evaluate sigma phase stability across varying SS-V compositions. EB-DED experiments assess phase formation when depositing V onto SS and vice versa, validating computational predictions. This project delivers tools and insights to guide alloy design and processing strategies that reduce sigma phase in AM components. |