About this Abstract |
Meeting |
2021 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2021)
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Symposium
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Physical Modeling
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Presentation Title |
Thermal Modeling in Additive Manufacturing Using Graph Theory: Validation with Directed Energy Deposition
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Author(s) |
Prahalada K. Rao, Jordan Severson, Reza Yavari, Kevin Cole |
On-Site Speaker (Planned) |
Reza Yavari |
Abstract Scope |
The objective of this work is to validate the graph theory approach for thermal modeling in the context of the directed energy deposition (DED) of titanium alloy (Ti-6Al-4V) parts. The data for this work is sourced from the published work of a different research group. Single track thin wall parts were deposited and temperature trends were tracked by embedding thermocouples in the substrate on which the material is deposited. The DED process was simulated using the graph theory approach, and the predicted temperature trends were validated versus the temperature trends measured by the thermocouples. As an example, the temperature trends predicted by the graph theory approach have mean absolute percentage error ~11% (MAPE) and root mean square error 23 °C (RMSE) when compared to the experimental data. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |