About this Abstract |
Meeting |
1st World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2022)
|
Symposium
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First World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2022)
|
Presentation Title |
Automating Solid-Liquid Interface Identification in Additive Manufacturing Simulator Experiments |
Author(s) |
Gus Becker |
On-Site Speaker (Planned) |
Gus Becker |
Abstract Scope |
Additive manufacturing (AM) simulator experiments performed at the Advanced Photon Source (APS) at Argonne National Laboratory (ANL) explore the effects of rapid solidification phenomena on resulting microstructures. High-speed x-radiography captures the laser melting of metallic samples through time. Measuring the solidification velocity in these experiments is a difficult and time-consuming task consisting of manually locating the solid-liquid (S-L) interface and tracking the change in location of the interface from one frame to the next. This work automates this interface identification through traditional image processing with Python libraries including NumPy and scikit-image. |
Proceedings Inclusion? |
Undecided |