| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing and Alloy Design: Bridging Fundamental Physical Metallurgy, Advanced Characterization Techniques, and Integrated Computational Materials Engineering for Advanced Materials
|
| Presentation Title |
Predictive Modeling of Grain Morphology and Phase Fraction in Metal Additive Manufacturing Using Coupled Thermal Simulation, a PF-CA Model, and a Kinetic Model |
| Author(s) |
Hamed Hosseinzadeh |
| On-Site Speaker (Planned) |
Hamed Hosseinzadeh |
| Abstract Scope |
Predicting grain morphology and phase fraction in metal additive manufacturing (AM) is crucial for optimizing mechanical properties. This study combines high-fidelity thermal simulations with kinetic models, Cellular Automata (CA), and Phase Field (PF) methods to model microstructural evolution and phase transformations in metal AM. CA and PF models are combined in a novel, synergistic manner to leverage the advantages of both approaches. This integrated approach predicts grain structure and phase distribution (using kinetic models) in AM-fabricated metals. Alongside solidified grain morphology, this algorithm can simulate recrystallization and grain growth. Our methodology has been applied to steels, ferrous alloys, and high-temperature alloys (Ni-, Fe-Ni-, or Co-based superalloys), representing a substantial computational tool in microstructural control, contributing to improved mechanical properties and performance of metal AM components and enhancing the design and optimization of AM processes. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, ICME |