|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Additive Manufacturing of Metals: Applications of Solidification Fundamentals
||A Multi-scale Modeling Approach to Microstructure Prediction for Powder Bed Fusion Additive Manufacturing Processes Through Phase Field and Cellular Automata Methods
||Daniel Dreelan, Abdur Rahman Al Azad, Alojz Ivankovic, Philip Cardiff, David J. Browne
|On-Site Speaker (Planned)
||David J. Browne
A phase field (PF) model is developed to simulate the growth and morphology of a representative number of solidifying grains, predicting microsegregation and local impingement dynamics. The effects of various processing-related parameters, including local temperature gradient and cooling rate, on cell/dendrite morphology and growth velocity are predicted. At the scale of the printed components, fast and efficient envelope-type cellular automata (CA) techniques are developed to simulate the nucleation and growth of all grains in 3D. This global CA model predicts the number and morphology of grains, the location of their boundaries, and crystallographic texture. The dendrite kinetics controlling the growth of the grains are imported into the CA model from the micro-scale PF predictions. The variation of the predicted microstructure with process parameters such as the heat source intensity and speed are presented, and the relevance of the simulations to defect formation is outlined.