|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Additive Manufacturing of Metals: Applications of Solidification Fundamentals
||CA Model Sensitivity to Material Parameters, Nucleation, and Thermal Conditions Across AM Process Space
||Matthew Rolchigo, Alex Plotkowski, John Coleman, Jim Belak
|On-Site Speaker (Planned)
The balance between epitaxial and nucleated grain growth during additive processing of alloys is a function of many processing and material parameters, and uncertainty in parameters governing this balance contribute to uncertainty in grain structure prediction. For representative thermal conditions, CA model predictions of the columnar-to-equiaxed transition are validated with predictions from alloy solidification theory. Variability in CA-predicted microstructures for these representative conditions is shown to be non-uniformly distributed as functions of thermal gradient, interfacial response, and nucleation parameters. By coupling the CA model to OpenFOAM predictions of a specific Additive process, microstructure prediction uncertainty associated with the thermal model is examined and compared to uncertainty regarding heterogeneous nucleation event density and potency. This understanding of the inherent uncertainty in CA predictions of grain structure due to uncertain inputs and the model itself will be important for validating the model with experimental results and interpreting the validity of model predictions.
||Additive Manufacturing, Solidification, Modeling and Simulation