About this Abstract |
| Meeting |
2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
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| Symposium
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2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
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| Presentation Title |
Developing a Digital Twin for metals Additive Manufacturing |
| Author(s) |
Anthony D. Rollett, Somnath Ghosh |
| On-Site Speaker (Planned) |
Anthony D. Rollett |
| Abstract Scope |
Our multi-institution team is developing a Digital Twin (DT) of metals additive manufacturing (MAM), from feedstock to location-specific fatigue performance. The “Institute for Model-based Q&C of Additive Manufacturing” (IMQCAM) is NASA supported. All component models of the DT incorporate uncertainty quantification (UQ). The project focuses on two exemplary materials, Ti-6Al-4V (Ti64) and nickel alloy 718. A prior ULI project on processing-structure-properties established a close connection between the defect structure and fatigue performance for LPBF Ti64. We have demonstrated an advanced crystal plasticity model in a finite element framework for modeling fatigue in MAM materials. We use a model-based material definition (MBMD) for the DT that incorporates integrated, interdisciplinary modeling workflows. We lay out the organization of the team and the major thrusts embodied in the IMQCAM and will address the current challenges around data curation & exchange, communication between models, UQ, validation, and probabilistic approaches to prediction of fatigue. |
| Proceedings Inclusion? |
Planned: Post-meeting proceedings |