About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
2025 Undergraduate Student Poster Contest
|
| Presentation Title |
SPU-1: Detection of Lifecycle Deviation from Fabrication to Produced L-PBF Part |
| Author(s) |
Peter Burdick, Laura Bruckman, Anthony Lino, Kristen Hernandez |
| On-Site Speaker (Planned) |
Peter Burdick |
| Abstract Scope |
Additive manufacturing (AM) techniques such as Laser powder bed fusion (L-PBF) is a dynamic process in which accurate modeling requires multiple assumptions and measurements. This inherent complexity results in inaccuracies from physics-based models and difficulty obtaining generalizable empirical models. Many challenges arise with the use of L-PBF such as increased defect formation from building parameters. The goal of this project is to predict when these defects will form during the printing process using data streams from the on board pyrometer and profilometry post print. To enhance detection in-situ, low-resolution sensors are utilized alongside ex-situ high-resolution imaging techniques to identify overlapping features. Accurate registration, detection, and classification of features are essential for correlating high-resolution features with low-resolution signals. If these defects are able to be printed, parameters could be changed or layers repeated, with slight changes to parameters in order to mitigate defects once they are detected. |