About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Presentation Title |
Process Monitoring for Pore Detection using in situ X-ray Imaging and Pyrometry Signal |
Author(s) |
Sanam Gorgannejad, Aiden A Martin, Jenny Wang, Jean-Baptiste Forien, Maria Strantza, Peiyu Quan, Sen Liu, Vivek Thampy, Christopher J Tassone, Nicholas P Calta |
On-Site Speaker (Planned) |
Sanam Gorgannejad |
Abstract Scope |
Systematic fault detection and control over the laser powder bed fusion (LPBF) technique has been a long-lasting objective to achieve high-quality parts and process repeatability. In situ process monitoring approaches have gained popularity for real-time quality assurance purposes. However, the correlation between specific defect formation events and process monitoring signatures remains elusive.
In this study, we employed high-speed in-situ X-ray radiography to probe subsurface dynamics during LPBF of Ti-6Al-4V alloy while simultaneously collecting thermal emission data. An automated feature extraction workflow and object tracking algorithm were developed to quantify the X-ray images, determine the pore formation times, and trace their trajectories within the melt pool. By processing the thermal emission signals, the process signatures were identified, and the probability of pore formation associated with various signatures was computed.
Prepared by LLNL under Contract DE-AC52-07NA27344. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |