About this Abstract |
Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
Symposium
|
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
Presentation Title |
Local Porosity Detection in LPBF Manufactured Aluminum Parts by In-Situ Multi-Sensor Monitoring |
Author(s) |
Berkay Bostan, Shawn Hinnebusch , Alexander Groeger , Austin Tiley , Dimitri Papazoglou , John Middendorf , Christopher Barrett , Albert To |
On-Site Speaker (Planned) |
Berkay Bostan |
Abstract Scope |
Laser Powder Bed Fusion (LPBF) is renowned for its precision in fabricating intricate components. However, addressing porosity in LPBF-produced parts is a significant challenge, especially in high-precision applications. This research introduces a specific porosity detection framework for aluminum parts. It utilizes a variety of sensors, including long-wavelength infrared camera, recoat camera, and thermal tomography. This approach yields over 90% accuracy in detecting pores smaller than three times the sensor resolution while keeping the false positive ratio below 2%. Furthermore, the method consistently achieves 99% accuracy in identifying pores larger than 400 microns. The study also outlines each sensor's distinct role in detecting different porosity sizes, underscoring the importance of sensor selection for precise detection. Ultimately, this research significantly enhances porosity prediction in LPBF-manufactured aluminum parts and emphasizes the critical role of sensor choice across different porosity ranges. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |