| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
In situ Layer-wise Optical Imaging for Defect Detection during Laser Powder Bed Fusion |
| Author(s) |
Sanam Gorgannejad, Wanda Wang, Gabe Guss, Steven Hoover, Justin Patridge, Nicholas Calta |
| On-Site Speaker (Planned) |
Sanam Gorgannejad |
| Abstract Scope |
Ensuring high-quality parts and process repeatability through systematic fault detection and control is a well-established goal in the laser powder bed fusion (LPBF). In situ process monitoring approaches are increasingly favored for real-time quality assurance. Despite the extensive research aimed at developing novel monitoring modalities, it is imperative to leverage the already established techniques to their fullest potential that allows for fast adaptation in manufacturing settings. Optical cameras are widely integrated into commercial LPBF machines, providing images of the powder bed subsequent to powder spread and fusion at every layer. In this study, we have adopted and developed methodologies to exploit the layer-wise images to detect printing defects and three-dimensional reconstruction of the components to facilitate part qualification prior to conducting XCT.
Prepared by LLNL under Contract DE-AC52-07NA27344. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |