| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
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| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
An Experimentally-tuned Finite Element Model for Predicting Sintering Deformation in Binder-jet Additive Manufacturing |
| Author(s) |
Roman Boychuk, Mihaela Vlasea, Kamyar Ghavam |
| On-Site Speaker (Planned) |
Roman Boychuk |
| Abstract Scope |
Parts produced through binder jetting undergo shrinkage and distortion driven by densification and by the external forces of gravity and friction acting on the part in a softened state. This work presents an FEM-compatible deformation predictor based on the Skorohod Olevsky Viscous Sintering (SOVS) model to represent the solid-phase sintering process and predict the final shape of a complex sintered part. A sintering distortion artifact was designed, and sintered inside an optical dilatometer, where the part contour over time is recorded and used to train the sintering model through a regression algorithm. The model is then validated against variations of the training artifact, and other challenging overhang geometries under optical dilatometry, and yields a maximum contour deviation ranging from 3-7% after an initial round of optimization. This model presents a novel approach to predicting sintering shape deformation which uses experimental data with minimal material property knowledge. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |