About this Abstract |
| Meeting |
2027 TMS Annual Meeting & Exhibition
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| Symposium
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Microstructure-Sensitive Design and Advanced Characterization: An MPMD/SMD Symposium Honoring David T. Fullwood
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| Presentation Title |
Porosity-Dependent Fracture Prediction of Aluminum Die-Castings Using a Microstructure-Informed GTN Damage Model |
| Author(s) |
Eungmin Lee, Seunghyo Hong, Kyungmin Lee, Myoung-Gyu Lee |
| On-Site Speaker (Planned) |
Eungmin Lee |
| Abstract Scope |
Although aluminum die-castings are widely used in structural applications, accurate prediction of fracture behavior remains challenging due to casting-induced defects. This study develops a porosity-dependent fracture modeling framework for aluminum die-casting alloys using a Gurson-Tvergaard-Needleman (GTN) damage model. The framework combines probabilistic mean-field modeling with microstructure-based finite element simulations to capture the influence of defect distributions on fracture behavior. Cracking of eutectic silicon (Si) particles and intermetallic compounds (IMCs) is explicitly incorporated. Upon crack initiation, damaged Si particles and IMCs are treated as voids, enabling their contribution to void evolution and ductile fracture to be quantified. Representative microstructures with different porosity fractions are analyzed, and GTN parameters are calibrated to reflect the roles of porosity, Si, and IMCs in damage accumulation. The proposed framework successfully captures fracture characteristics across varying defect levels, providing a physically based approach to predict fracture performance of aluminum die-casting materials. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Aluminum, Computational Materials Science & Engineering, Modeling and Simulation |