About this Abstract |
Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
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Symposium
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2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
Presentation Title |
Multi-Scale Defect Monitoring in Laser Powder Bed Fusion Using Acoustic Emission Sensing |
Author(s) |
Prahalada K. Rao, Benjamin Bevans, Alex Riensche, Antonio Carrington, Mihir Darji, Yuri Plotnikov, John Sions, Kyle Snyder, Derek Hass |
On-Site Speaker (Planned) |
Prahalada K. Rao |
Abstract Scope |
In this work, we used in-situ acoustic emission sensors for online monitoring of part quality in laser powder bed fusion (LPBF) additive manufacturing process. Currently, sensors such as thermo-optical imaging cameras and photodiodes are used to observe the laser-material interactions on the top surface of the powder bed. However, these existing sensing modalities are unable to penetrate beyond the top surface of the powder bed. Herein, four passive acoustic emission sensors were installed in the build plate of an EOS M290 LPBF system. Acoustic emission data was acquired during processing of stainless steel 316L samples. The spatially localized acoustic emission signatures were statistically correlated (R2 > 85%) to multi-scale aspects of part quality, such as thermal-induced part failures, surface roughness, and solidified microstructure (primary dendritic arm spacing). |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |