| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Solidification in External Fields
|
| Presentation Title |
Dynamics of Individual Bubbles in Acoustic Cavitation-induced Solidification Using High-Speed Imaging and Deep Learning |
| Author(s) |
Sohail Mazher Ali Khan Mohammed, Brandon Aguiar, Giuseppe Bianco, Tanaji Paul, Arvind Agarwal |
| On-Site Speaker (Planned) |
Sohail Mazher Ali Khan Mohammed |
| Abstract Scope |
Acoustic cavitation, characterized by the formation, growth, and collapse of microbubbles in a liquid medium during ultrasonication is a widely utilized phenomenon in controlling the solidification of materials. Studying these aspects in a single bubble system can be performed experimentally and theoretically. However, it becomes challenging in multi-bubble systems due to the formation of streamers and clusters. Real time detection and monitoring the dynamics and life cycle of individual bubbles in multi-bubble system requires state-of-the-art technique. In this study, we employed high-speed imaging integrated with microscopic lens and cavitometer to characterize dynamics of individual bubbles in water and turpentine. Insight on rate of bubble growth and bubble collapse phenomena is provided from high-speed imaging. It is observed that the area of the temporal microbubbles increased with the increase in ultrasonication amplitude. These findings contribute to a deeper understanding of cavitation phenomena and facilitate tailoring the solidification process. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Solidification, Machine Learning, Characterization |