| About this Abstract |
| Meeting |
2019 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2019)
|
| Symposium
|
2019 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2019)
|
| Presentation Title |
Experimental Validation of the Thermal Distribution Predicted by the Graph Theory Approach: Application to Laser Powder Bed Fusion |
| Author(s) |
Paul Hooper, Reza Yavari, Prahalad K. Rao, Kevin D. Cole |
| On-Site Speaker (Planned) |
Reza Yavari |
| Abstract Scope |
The objective of this paper is to experimentally validate the graph-based approach, advanced in our companion abstract, for predicting the thermal distribution in parts made using the laser powder bed fusion. The graph approach was used to predict the temperature on the top surface of two geometries, namely, an inverted cone and cylinder (stainless steel). Experimental data in the form thermal images were acquired using a calibrated staring-configuration shortwave infrared camera. The results show that the graph theory approach predicts the temperature at the top surface of the build within the time it takes to build the part with error within 10%. For instance, in the case of the inverted cone geometry (top diameter 20 mm, height 11.25 mm, 225 layers), the simulation time with graph theory was less than 20 minutes versus 50 minute build time. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |