| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Towards Rapid Qualification
|
| Presentation Title |
Defect Population Variability and Fatigue Life Estimation in Additively Manufactured Components |
| Author(s) |
Thorsten Hermann Becker, Nicolas Macallister |
| On-Site Speaker (Planned) |
Thorsten Hermann Becker |
| Abstract Scope |
Widespread adoption of additively manufactured components requires sound fatigue property characterisation to reliably meet safety-critical standards. Damage-tolerant models offer an attractive avenue to alleviate intensive and expensive process-specific testing while retaining the inherent benefits of the additive manufacturing path. These models use fracture mechanics principles, nonuniform defect populations, and process-specific attributes. Input measurement classes include X-ray computed tomography and surface profilometry data combined with statistical methods to characterise their descriptions. The study refines the modelled impact of defect descriptions, aligning it with observed fatigue behaviour and highlighting how variations in input populations affect fatigue life estimation. The importance of defect population statistics as a source of fatigue scatter is underscored, revealing critical nuances for AM component fatigue life design and modelling. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Mechanical Properties, |