| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Real-time Melt Pool Characterization in Laser Powder Bed Fusion Using Acoustic and Photodiode Monitoring |
| Author(s) |
Haolin Liu, Christian Gobert, Brandon Abranovic, Hongrui Chen, Kevin Michael Ferguson, Jack Beuth, Anthony Rollett, Levent Burak Kara |
| On-Site Speaker (Planned) |
Haolin Liu |
| Abstract Scope |
As the demand for high-quality fabrication grows, the need for real-time monitoring of the laser powder bed fusion (LPBF) process has also grown, leading to the incorporation of a range of online sensing methods such as acoustic sensing and high-speed imaging. In practice, real-time high-resolution melt pool image capture remains computationally demanding. In this work, we propose a cost-effective monitoring approach that can replace the need for direct visual sensing in LPBF. In particular, we utilize acoustics and photodiode-based data to predict highly time-resolved visual melt pool characteristics in a nearly real-time fashion. Our approach enables a data-driven mapping within a time window of 2.0 ms. Our work demonstrates the feasibility of using a cost-effective method to achieve online visual melt pool characterization and contributes to the advances in quality control for LPBF. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |