| About this Abstract |
| Meeting |
TMS Specialty Congress 2024
|
| Symposium
|
Accelerating Discovery for Mechanical Behavior of Materials 2024
|
| Presentation Title |
Towards a Fatigue-based Process Window: Influence of LPBF Build Parameters on Process Defect Characteristics and Mechanical Properties in Ti-6Al-4V |
| Author(s) |
Austin Q. Ngo, David Scannapieco, Tharun Reddy, Oluwatumininu Adeeko, Christian Gobert, Justin Miner, Sneha Prabha Narra, Jack Beuth, Anthony Rollett, John J Lewandowski |
| On-Site Speaker (Planned) |
John J Lewandowski |
| Abstract Scope |
To characterize process-induced defect characteristics across LPBF power-velocity space, we have conducted tensile and high-throughput 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. Defect quantification and fatigue performance will be discussed following Kitagawa-type modeling. |
| Proceedings Inclusion? |
Definite: Other |