About this Abstract |
| Meeting |
2021 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2021)
|
| Symposium
|
Physical Modeling
|
| Presentation Title |
Thermal Modeling in Additive Manufacturing Using Graph Theory – Validation with In-situ Thermography Measurements for a Large Impeller Part made Using Laser Powder Bed Fusion |
| Author(s) |
Reza Yavari, Paul Hooper, Kevin Cole, Prahalada K. Rao |
| On-Site Speaker (Planned) |
Prahalada K. Rao |
| Abstract Scope |
This work is a continuation of the graph theory approach to predict the thermal history of an additively manufactured part previously presented in the symposia. The objective of this paper 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 |