| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Developing Predictive Capabilities
|
| Presentation Title |
Effects of Process Parameters on Fatigue Behavior and Defect Characteristics in LPBF Ti-6Al-4V |
| Author(s) |
Austin Q. Ngo, David Scannapieco, Hunter Taylor, Ryan Wicker, Joseph Pauza, Anthony Rollett, Jack Beuth, John Lewandowski |
| On-Site Speaker (Planned) |
Austin Q. Ngo |
| Abstract Scope |
Four-point bending fatigue testing was conducted on machined and polished LPBF Ti-6Al-4V mechanical testing specimens. Specimens were built with parameters inside and beyond the optimal process window, resulting in low (baseline) and high (i.e., lack of fusion, keyhole) defect-content builds, respectively. S-N fatigue data was generated for each process parameter set, and specimen fracture surfaces were imaged using OM and SEM. Fractographic analyses consisted of quantifying all defects on the fracture surface, identifying ‘killer’ defects responsible for fatigue failure, and estimating fracture toughness from the crack length at catastrophe. Fracture surface height profiles were generated via laser scanning and compared to visual analyses of crack progression. Different types of process defects were more prevalent depending on a build’s relationship to the process window, which further influenced S-N curves. The effects of process parameters on defects and resulting S-N fatigue will be discussed in the context of a Kitagawa-Murakami-type approach. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Titanium, |