About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
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| Symposium
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Additive Manufacturing: Advanced Characterization With Synchrotron, Neutron, and In Situ Laboratory-scale Techniques IV
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| Presentation Title |
The Capabilities of the APS for Additive Manufacturing Research |
| Author(s) |
Samuel J. Clark, Songyuan Tang, Kamel Fezzaa |
| On-Site Speaker (Planned) |
Samuel J. Clark |
| Abstract Scope |
The first half of this talk will give an overview of the palette of capabilities available to researchers for additive manufacturing research at the upgraded Advanced Photon Source (APS). The second half will take a deeper dive into the high-speed X-ray imaging program at 32-ID-C. It has been known for some time that key phenomena in laser powder bed fusion (LPBF) are manifested by the movement of tens of um-sized features at a speed of up to m/s. To sufficiently sample these kinetics, we need um resolution at MHz framerates – a combination of parameters which has proven challenging to provide. Here I will present a promising new capability, a deep learning-based algorithm with the potential to reconstruct simultaneously high-resolution high-frame-rate X-ray image sequences through spatio-temporal fusion. The technique’s successful application to additive manufacturing research will be presented showing results with 1.31 um object pixel size and 1 MHz framerate. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Other, Other |