| About this Abstract |
| Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Symposium
|
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Presentation Title |
Controlling Multi-track Melt Pool Size Variation Based on Local Thermal Environment for Inconel 718 Laser Powder Bed Fusion via Data-driven Approaches |
| Author(s) |
Seth T. Strayer, William Frieden Templeton, Praveen S. Vulimiri, Shawn Hinnebusch, Sneha Narra, Albert To |
| On-Site Speaker (Planned) |
Seth T. Strayer |
| Abstract Scope |
The melt pool size for Inconel 718 laser powder bed fusion (L-PBF) varies substantially throughout a part, causing uncertain changes in microstructure and properties that prevent the process’ broader adoption by the industry. This work presents an iterative, data-driven, feedback-feedforward control model for maintaining a consistent melt pool size based on the local thermal environment (LTE) to help address this issue. First, a finite element (FE) machine-learned heat source model is trained to predict the multi-track thermal fields from high-fidelity computational fluid dynamics (CFD). Different process parameters are iteratively tested using the trained model and provided to a data-driven algorithm to predict the appropriate parameters that maintain a consistent melt pool size for various LTE. Second, the same approach is implemented using a functional heat source model. The benefits and disadvantages of the two methods are presented, and their efficacy in controlling the multi-track melt pool size is compared. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |