About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture
|
| Presentation Title |
Fatigue Lifetime Prediction Using a Continuum Damage Modeling Approach for Porosity Induced Failures in Additively Manufactured Materials |
| Author(s) |
Akshatha C. Dixith, Anthony G. Spangenberger, Diana A. Lados |
| On-Site Speaker (Planned) |
Akshatha C. Dixith |
| Abstract Scope |
Porosity defects are one of the main causes of fatigue failures in additively manufactured (AM) components. Process parameters such as laser power and scan speed influence the morphology and distribution of pores, which in turn affect fatigue performance of parts. In this work, a continuum damage mechanics model is used to predict fatigue lifetimes considering the effect of pore morphology and distribution. Such models are suitable when pores are larger than the grain size, and use damage variables to implicitly represent their effects on mechanical behavior. Damage variables are novelly initialized using metrics extracted from geometric porosity simulations. The models are used to predict fatigue lifetimes and crack initiation location in laser powder bed fusion Ti-6Al-4V and validated using experimental S-N curves. These coupled porosity-fatigue models at various length scales enable understanding of process-structure-property-performance relationships and enhance the adoption of AM technology in fatigue-critical applications. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, Mechanical Properties |