| Abstract |
Ultrasonic atomization is one of the promising technologies for producing metal powders for additive manufacturing, where precise control of particle size and morphology is essential. In this study, we coupled an ultrasonic transducer with a carbon fibre plate and atomized liquid droplets and films under different vibration amplitudes. Water, glycerol, and pure aluminium melt were used to study the atomization mechanism and the resulting droplet/powder characteristics, respectively. High-speed optical and ultrafast synchrotron X-ray imaging were used to study in situ the ultrasonic atomization dynamics, including pulsation and clustering of cavities inside the liquid layer/films, development of capillary waves, and formation of liquid droplets. For the first time, we observed and captured the occurrence of cavitation in the atomization of resting drops, films and impact droplets. The inertial cavitation events interfered with the capillary waves across the interphase boundary, puncturing and breaking the boundary to produce atomized mist. The in situ observation revealed the intricate dynamics of ultrasonic atomization and underscored the pivotal role of cavitation events throughout the entire atomization process. We also conducted experiments on ultrasonic atomization of liquid aluminium, producing particles of perfectly spherical shape. The particle size decreased as the vibration amplitude was decreased. Our work has demonstrated the important processing strategies on how to tailor the particle size while ensuring consistent particle shape and morphology, which is the key processing capability for producing high quality feedstock for additive manufacturing applications. |
| Authors |
Abhinav Priyadarshi  , Shazamin Bin Shahrani , Tomasz Choma , Łukasz Żrodowski , Ling Qin  , Chu Lun Alex Leung , Samuel J. Clark , Kamel Fezzaa , Jiawei Mi , Peter Lee , Dmitry Eskin , Iakovos Tzanakis
|
| Journal Info |
Elsevier BV | Additive Manufacturing , pages: 104033 - 104033
|
| Publication Date |
2/1/2024 |
| ISSN |
2214-7810 |
Type |
article |
| Open Access |
hybrid
|
| DOI |
https://doi.org/10.1016/j.addma.2024.104033 |
| Keywords |
Additive Manufacturing (Score: 0.528907)
|
