| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Techniques for Multi-Scale Modeling in Advanced Manufacturing
|
| Presentation Title |
Synchrotron Calibrated Lagrangian Particle Tracking of Melt-pool Ejections during Laser Powder Bed Fusion |
| Author(s) |
Samuel J. Clark, Gongyuan Zeng, Juergen Jakumeit, Chu Lun Alex Leung, Yunhui Chen, Sebastian Marussi, Lorna Sinclair, Margie P. Olbinado, Alexander Rack, Peter D. Lee |
| On-Site Speaker (Planned) |
Samuel J. Clark |
| Abstract Scope |
Laser Powder Bed Fusion(LPBF) is a turbulent process where a high-energy density laser beam induces a high-velocity metal vapour plume which can denude powder particles from the powder bed and induce the stochastic ejection of large spatter droplets. The vapour jet imparts ballistic trajectories of the large entrained spatter droplets, sending far across the powder bed. These large particles can disrupt subsequent laser tracks and cause uneven powder spreading of the next layer. Using fast synchrotron imaging we capture the initial spatter velocity, enabling the full particle trajectory to be calculated. We supplement these results with additional insights into the physics of the phenomena using a multi-physics model of the vapour plume coupled with Lagrangian Particle Tracking(LPT). The results reveal new understanding of spatter trajectories in relation to where they are generated in the keyhole and how this might be mitigated to minimise spatter contamination of the powder bed. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, Modeling and Simulation |