About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
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Additive Manufacturing: Advanced Characterization with Synchrotron, Neutron, and In Situ Laboratory-scale Techniques III
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| Presentation Title |
F-25: In-situ Acoustic Emission Process Monitoring for Powder-blown Laser Directed Energy Deposition o fRefractory Alloys |
| Author(s) |
Emmeline Evans, Aaron Stebner |
| On-Site Speaker (Planned) |
Emmeline Evans |
| Abstract Scope |
Prevalent process monitoring methods for powder-blown laser directed energy deposition (LDED), such optical thermography, are data intensive and thus difficult to implement for real-time monitoring. This work proposes to use acoustic emission (AE) for in-situ process monitoring of LDED of refractory alloy components. The relationships between process parameter changes, AE signal features, and defect formation will be examined through statistical modeling. A machine learning model for real-time detection of defect formation with only AE data as input will be developed. In-situ optical thermography and post-manufacturing x-ray computed tomography (XCT) and microscopy will serve as ground truth for model development. The AE sensor set-up will include airborne and contact sensors with varying frequency ranges and sensitivities to ease the identification of noise, and the high-false positive rate common to AE monitoring will be combatted by examining defect healing captured in the thermography and XCT data. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Machine Learning, Process Technology |