| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Data Science and Analytics for Materials Imaging and Quantification
|
| Presentation Title |
Understanding the Keyhole Dynamics in Laser Processing Using Time-resolved X-ray Imaging Coupled With Computer Vision and Data Analytics |
| Author(s) |
Jongchan Pyeon, Joseph W. Aroh, Runbo Jiang, Andy Ramlatchan, Benjamin J. Gould, Anthony D. Rollett |
| On-Site Speaker (Planned) |
Jongchan Pyeon |
| Abstract Scope |
During laser processing of metals, localized metal evaporation resulting in the formation of a keyhole shaped cavity can occur if high enough energy densities are used. An unstable keyhole can have deleterious effects in certain applications (e.g. laser powder bed fusion) as it increases the likelihood of producing defects such as spatter or porosity. In this work, the dynamics of keyhole fluctuations were probed using in-situ synchrotron x-ray imaging at the Advanced Photon Source across a range of materials and laser parameters. The high temporal and spatial resolution of these experiments results in large datasets which were processed using computer vision techniques in order to extract time-resolved quantitative geometric features. These features were analyzed and a correlation was made between local keyhole geometry variation and the presence/absence of processing defects. Likewise, multivariate statistical tools were employed to understand the relationship between processing parameters, material properties, and keyhole geometry. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Characterization, Computational Materials Science & Engineering |