About this Abstract |
Meeting |
2025 TMS Annual Meeting & Exhibition
|
Symposium
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Verification, Calibration, and Validation Approaches in Modeling the Mechanical Performance of Metallic Materials
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Presentation Title |
Digital Twins to Accelerate AM Qualification: Defining Challenge Problems to Validate Model Performance |
Author(s) |
Brendan P. Croom, David Furrer, Michael Presley, Morgan Trexler, Somnath Ghosh, Anthony Rollett |
On-Site Speaker (Planned) |
Brendan P. Croom |
Abstract Scope |
Current additive manufacturing (AM) qualification approaches depend primarily on experiments and empirical data to reduce risk during part production. Digital twins of the AM process based on integrated computational materials engineering (ICME) frameworks are being developed to predict both the expected material properties and part performance for AM components, and it is envisioned that these models can provide data to reduce the experimental burden of qualification. We analyze how ICME models can provide useful data to support existing AM qualification frameworks such as NASA-STD-6030. Additionally, we define four challenge problems that map to key decision points within NASA-STD-6030, where successful model predictions can reduce experimental testing requirements, and also provide unique value by addressing experimental limitations. We present early results towards these challenge problems by ICME modeling teams within the NASA-funded Institute for Model-based Qualification and Certification of Additive Manufacturing (IMQCAM). |
Proceedings Inclusion? |
Planned: |