About this Abstract |
Meeting |
2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
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Symposium
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2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
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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 Strayer, Albert To |
On-Site Speaker (Planned) |
Albert To |
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 a machine learning (ML) based feedforward control model for maintaining a consistent melt pool size based on the local thermal environment (LTE) to help address this issue. First, an ML model is trained to predict the FE heat source parameters matching the melt pool size variation predicted by computational fluid dynamics simulations. Next, a surrogate model is trained to identify the relationship between the transient LTE, laser power, and melt pool size. These models are then coupled to predict the laser powers and heat source parameters that provide consistent melt pool size. The benefits of this method compared to existing methods and its efficacy in controlling the multi-track melt pool size will be presented. |
Proceedings Inclusion? |
Planned: Post-meeting proceedings |