| About this Abstract |
| Meeting |
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Symposium
|
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
| Presentation Title |
Understanding the Keyhole Dynamics in Laser Welding with Computer Vision and Data Analytics Applied to Time-Resolved X-Ray Imaging |
| Author(s) |
Jongchan Pyeon, Joseph W. Aroh, Runbo Jiang, Benjamin J. Gould, Andy Ramlatchan, Anthony D. Rollett |
| On-Site Speaker (Planned) |
Joseph W. Aroh |
| Abstract Scope |
During laser welding 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 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 result in large datasets which were processed using computer vision techniques in order to extract time-resolved quantitative geometric features. These features were analyzed to understand the relationship between the variation of local keyhole geometry and the probability of processing defects to occur. Likewise, multivariate statistical tools were employed to understand the link between processing parameters, material properties, and keyhole geometry. |
| Proceedings Inclusion? |
Definite: Other |