| 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 |
Enabling Part-scale Melt Pool Prediction in Laser Powder Bed Fusion via a Global-local Thermal Process Simulation Model |
| Author(s) |
Shawn Hinnebusch, William Templeton , Alaa Olleak, Praveen Vulimiri, Florian Dugast, Sneha Narra, Albert To |
| On-Site Speaker (Planned) |
Shawn Hinnebusch |
| Abstract Scope |
Predicting accurate thermal history in laser powder bed fusion (LPBF) is a challenging problem. Layerwise simulations are geometry dependent for calibration and cannot capture the local heat accumulation due to the laser scanning process. Scanwise simulations are far more accurate but are restricted in size to just a few millimeters. An infrared (IR) camera is mounted on an LPBF system to calibrate and validate the interpass temperatures. Using a GPU-accelerated finite element based solver, the geometry-agnostic layerwise calibration was completed with less than 6% mean absolute percentage error. The layerwise simulation provides an accurate thermal boundary condition for the local scanwise simulations at a reduced computational cost. Melt pool width and depth can be predicted in any location before printing. Integrating high-speed layerwise simulations with scanwise simulations results in a low-cost yet accurate thermal history that identifies problematic regions before costly builds. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |