| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Developing Predictive Capabilities
|
| Presentation Title |
Fatigue Modeling Approaches for Additively Manufactured Ti-6Al-4V |
| Author(s) |
Sushant K. Jha, Matthew Krug, Luke Sheridan, Patrick Golden, Mark Benedict, Nathan Bryant, Jessica Orr |
| On-Site Speaker (Planned) |
Sushant K. Jha |
| Abstract Scope |
Additive manufacturing (AM) represents a significant opportunity for on-demand printing of complex aerospace parts, thereby adding to the sustainment supply-chain, increasing the operational readiness, and reducing cost. In order to optimize an AM process for fatigue behavior and develop fatigue design curves, a large amount of testing is often required using specimens printed under varying AM and post-processing parameters. Physics-based fatigue modeling approaches can significantly reduce the burden of vast test campaigns. Here, a fracture mechanics-based method was used to determine minimum fatigue life bounds for laser powder bed fusion AM Ti-6Al-4V. The method was applied to model the shifts in minimum life bound with surface condition and post-processing treatments. In addition, an equivalent initial damage size (EIDS) distribution was developed for the same surface and processing conditions for a damage tolerance analysis. The proposed methods can play a key role in enabling the use of AM in fracture-critical applications. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Titanium, Mechanical Properties |