About this Abstract |
| Meeting |
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
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| Symposium
|
2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
|
| Presentation Title |
A Framework for Distortion Risk Prediction in Laser Powder Bed Fusion |
| Author(s) |
Bradley Howell Jared, Nathaniel Hall |
| On-Site Speaker (Planned) |
Bradley Howell Jared |
| Abstract Scope |
A prominent barrier to part qualification in laser powder bed fusion is part distortion. To combat distortion, various techniques including both modeling and in-situ sensing have been implemented. Such techniques are often computationally expensive and therefore reduce the scale at which meaningful analysis can occur in reasonable time. In the following work, rapid part scale simulations are accomplished in a two-step process. First, the layer-wise thermal state of a part is determined either by a reduced order lumped capacitance model or by infrared sensing. The thermal state is used to inform an analytical heat transfer model capable of outputting a discretized map of layer-wise solidification data. The data is then used to create a distortion risk indicator calculated for each layer. The work yields a workflow for both a priori simulation and in-situ informed simulation. The behavior of the risk indicator is demonstrated on parts with varying magnitudes of distortion. |
| Proceedings Inclusion? |
Undecided |