| About this Abstract |
| Meeting |
MS&T23: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
|
| Presentation Title |
Microstructure Evolution Simulation of Inconel 718 Superalloy during Laser Powder Bed Fusion (LPBF) Process |
| Author(s) |
Li Ma, Ali Ramazani |
| On-Site Speaker (Planned) |
Li Ma |
| Abstract Scope |
In laser powder bed fusion (LPBF), temperature gradients and cooling rates are extremely large in comparison to the ordinary directional solidification process. Therefore, the standard analytical methods are not able to predict the dependency of the microstructural features on the process parameters correctly. In this research, we used a quantitative phase field model to investigate the microstructure evolution (nucleation and grain growth) and component distribution in Inconel 718 superalloy, taking into account the dependency of the tip undercooling on the solidification velocity. The thermal boundaries for the phase field model were calculated using computational fluid dynamics (CFD) modeling. We demonstrated that our modeled results are in good agreement with the experimental measurements, and the prediction of other computational models. Moreover, we developed a relationship between the developed microstructures and the process parameters, enabling optimization of future process parameters to produce tailored microstructures of Inconel 718 alloy for a given application. |