| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Additive Manufacturing Modeling and Simulation: AM Materials, Processes, and Mechanics
|
| Presentation Title |
Phase Field Modeling of AM Solidification Microstructure with Algorithmic Feature Extraction to Facilitate Reduced Order Model Development |
| Author(s) |
Stephen J. DeWitt, Bala Radhakrishnan, Yuanxun Bao, George Biros, Jean-Luc Fattebert, John Turner |
| On-Site Speaker (Planned) |
Stephen J. DeWitt |
| Abstract Scope |
The solidification microstructure that forms during additive manufacturing strongly influences the material’s mechanical properties. Improved understanding of the process-microstructure-property relationship can enable the optimization of process conditions for desired localized properties. Here, we discuss the use phase field simulations to predict microstructural features during the additive manufacturing of aluminum alloys in 2D and 3D. We compare two common approaches: the Kim-Kim-Suzuki (KKS) model and a simplified dilute binary model. The effect of solidification conditions on traditional microstructural features (e.g. primary/secondary dendrite arm spacing, solute distribution) and non-traditional features related to hot cracking (e.g. the morphology of late-solidifying regions between the dendrites) is discussed. These quantities of interest are collected algorithmically from the phase field simulations to facilitate the creation of reduced order models for use in uncertainty quantification and optimal control problems. Sensitivity analysis results are presented as an example of this workflow. |