| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
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| Symposium
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Additive Manufacturing Fatigue and Fracture: Towards Accurate Prediction
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| Presentation Title |
Refining the Fatigue and Toughness-Based Process Window and Understanding Long Crack Growth Behavior in LPBF Ti64 Specimens Fabricated Across PV Space |
| Author(s) |
Brett E. Ley, Austin Ngo, Oluwatumininu Adeeko, Anthony Rollett, Christian Gobert, Jack Beuth, John J Lewandowski |
| On-Site Speaker (Planned) |
Brett E. Ley |
| Abstract Scope |
In a prior study, LPBF Ti-6Al-4V specimens were fabricated with both optimized and sub-optimal process parameters to explore the influence of process-induced defects on fatigue performance. Samples were tested until failure under cyclic four-point bending and fractography was conducted to quantify all defects on the fracture surface and identify the ‘killer’ defect or defects responsible for fatigue crack initiation. Over 900 samples were tested, and a fatigue and toughness-based process window built on print power, scan velocity, and fatigue performance began to take shape. In this work, the fatigue and toughness-based process windows were refined by testing samples in regions of PV space that were not completely explored in the previous study. Fatigue crack growth (FCG) experiments were also performed to relate the primary type of defect on the fracture surface to the long-crack growth behavior. Fractography results from the FCG and four-point bend samples, printed with the same conditions, were compared. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Titanium, Characterization |