About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
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AI/Data Informatics: Computational Model Development, Validation, and Uncertainty Quantification
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Presentation Title |
Effective Bulk Properties and Structure-property Relationships in Additively Manufactured Metal with Micron- and Nanometer-scale Structural Complexity |
Author(s) |
Mir Al-Masud, Ryan Griffith, Naji Mashrafi, Mujan Seif, Matthew Beck |
On-Site Speaker (Planned) |
Mir Al-Masud |
Abstract Scope |
Modeling additively manufactured materials is challenging due to their inherent complexity and structural randomness, which is typically present at multiple length scales. The recently developed Kentucky Random Structures Toolkit (KRaSTk) implements a high-throughput approach to generate and compute properties of model representative volume elements (mRVEs) based on physics-based geometric seed descriptions capturing relevant structural complexity. We have applied this technique to compute bulk effective properties and distributions of size-scale-dependent local properties for a novel 3D-printed metal alloy that exhibits structural complexity at both the 100 nm and 10 micron scale. Automated data-mining approaches have been used to extract structure-property relationships governing effective bulk elastic properties. |
Proceedings Inclusion? |
Planned: |