| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing of Titanium-based Materials: Processing, Microstructure and Material Properties
|
| Presentation Title |
Refining the Fatigue-Based Process Window for LPBF Ti64 and Exploring Defect Distributions |
| 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 mechanical and fatigue properties. Samples were tested until failure under cyclic four-point bending and fractographic analyses were 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-based process window based on print power, scan velocity, and fatigue performance began to take shape. In this work, the fatigue-based process window was refined by testing samples in regions of PV space that were not completely explored in the previous study. Defect sizes were examined statistically to determine if they followed a Weibull Distribution. Finally, fatigue crack growth experiments were performed on samples fabricated across PV space to characterize the long crack growth behavior. |