About this Abstract |
Meeting |
2021 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2021)
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Symposium
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Poster Session
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Presentation Title |
Thermal Modeling in Additive Manufacturing Using Graph Theory: Validation with Laser Powder Bed Fusion for a Large Impeller Part |
Author(s) |
Reza Yavari, Paul Hooper, Prahalad K. Rao |
On-Site Speaker (Planned) |
Reza Yavari |
Abstract Scope |
This poster summarizes results from the graph theory approach for thermal modeling, along with recent experimental validation for a large impeller part. The objective of this work is to use the graph theory approach to predict the thermal history of large-volume parts made using the laser powder bed fusion (LPBF) process. To realize the foregoing objective, we build a 316L stainless steel part of outside diameter 155 mm and height 40 mm resembling an impeller-like shape on a Renishaw AM250 LPBF system; the build time for this part is approximately 16 hours. Surface temperature measurements were obtained using a calibrated long wave infrared thermal camera. Using the graph theory-based thermal simulation strategy, we predict the surface temperature distribution trends with mean absolute error of approximately 10% of experimental temperature measurements and in less than 85 minutes (1/10thof the build time). |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |