| Abstract Scope |
This work presents an integrated computational materials engineering (ICME)-based framework for modeling the thermal history, solidification microstructure, and establishing the process-microstructure relationship in AM metals, focusing on Inconel 718 superalloy. LPBF involves extreme temperature gradients and cooling rates, introducing complexities that traditional methods struggle to capture. To address this, we developed a quantitative phase field model considering the solidification velocity's influence on nucleation, grain growth, and component distribution in Inconel 718. Computational fluid dynamics modeling provided the necessary thermal boundaries. Our research demonstrates the final microstructure in agreement between modeled results, experiments, and predictions from existing literature. This approach establishes a clear relationship between process parameters and resultant microstructures in LPBF of Inconel 718, offering insights for optimized component design. Our developed ICME-based framework has significant potential for impact in AM and materials engineering, enabling informed process parameter selection for desired microstructural features in Inconel 718 and other metal alloys. |