About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
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Presentation Title |
A Calibration-Free Physics-based Framework to Predict Printability Maps in Additive Manufacturing Process |
Author(s) |
Sofia Sheikh, Pejman Honarmandi, Brent Vela, Peter Morcos, David Shoukr, Raymundo Arroyave, Alaa Elwany, Ibrahim Karaman |
On-Site Speaker (Planned) |
Sofia Sheikh |
Abstract Scope |
In additive manufacturing (AM), to fabricate porosity-free parts, the optimal processing conditions need to be determined. To do so, the design space for an arbitrary alloy must be analyzed to identify areas of defects for different power-velocity combinations, which can be visualized using a printability map, which can be costly. To reduce the cost and effort to construct printability maps, we have created a fully computational framework. The framework predicts material properties using CALPHAD models and a reduced-order model. Then, the analytical Eagar-Tsai thermal model uses the material properties to calculate the melt pool geometry during the AM processing. Finally, the printability maps are constructed using material properties, melt pool dimensions, and criteria for lack of fusion, keyholing, and balling defects. Using NiTi-based alloys, the framework is validated with experimental observations to compare and benchmark the defect criteria and find the optimal criterion set with the maximum accuracy. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |