| About this Abstract |
| Meeting |
TMS Specialty Congress 2024
|
| Symposium
|
Accelerating Discovery for Mechanical Behavior of Materials 2024
|
| Presentation Title |
High-throughput Approach to Support-free LPBF of Inconel 718 With In-situ High-speed Thermal Imaging |
| Author(s) |
Chun Kit Sit, Yunlong Tang, Louis Chiu, Aijun Haung |
| On-Site Speaker (Planned) |
Chun Kit Sit |
| Abstract Scope |
Laser Powder Bed Fusion (LPBF) is a prominent Additive Manufacturing method to manufacture complex geometries in 3D space. However, the parameter optimization is complicated due to the complex and interconnected spatial scale and print parameter space. This presentation reveals a practical and iterative framework from first principle to support-free LPBF. In particular, we introduce not only the concept of parameter optimization on the 1st layer overhang basis, but a quantifiable metric using high-speed thermal imaging for IN718. Each pixel in the high-throughput imaging is further spatially calibrated using perspective transformation such that it can be used on different LPBF machines. Not only is the proposed framework material-agnostic but it allows for further print parameter refinement if necessary. This framework generates an extensive amount of data to optimize for printing 1st layer 0 degree overhang which will be the foundation for multi-layer overhang and process monitoring of support-free LPBF. |
| Proceedings Inclusion? |
Definite: Other |