| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Process-induced Microstructures and Defects
|
| Presentation Title |
Influence of LPBF Build Parameters on Process-induced Defect Characteristics and Mechanical Properties in Ti-6Al-4V |
| Author(s) |
Austin Q. Ngo, David Scannapieco, Oluwatumininu Adeeko, Tharun Reddy, Christian Gobert, Sneha Prabha Narra, Anthony Rollett, Jack Beuth, John J. Lewandowski |
| On-Site Speaker (Planned) |
Austin Q. Ngo |
| Abstract Scope |
To characterize process-induced defect characteristics across LPBF power-velocity space, we have conducted tensile and fatigue testing on Ti-6Al-4V specimens built under varied process parameters. Specimen fracture surfaces were further imaged via SEM, and process-induced defects on fracture surfaces were quantified, with the critical ‘killer’ fatigue crack initiating defects being identified. Process-induced defects were found to range in size, shape, and population due to variations in AM build process parameters. Fracture surface defect characteristics are compared to the corresponding mechanical properties and S-N fatigue data to evaluate the influence of LPBF build parameters on process-induced defect formation and the resulting mechanical performance and reliability. In addition, we compare identification and quantification of defect features as conducted both by manual quantification and by feature training a machine learning image classification system using SEM images of fatigue fracture surfaces. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Titanium, Mechanical Properties |