|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Additive Manufacturing of Metals: Applications of Solidification Fundamentals
||Consistent Coupling between Melt Pool Heat Transfer and Grain-scale CA Calculations for Additive Manufacturing
||John Coleman, Alex Plotkowski, Matt Rolchigo
|On-Site Speaker (Planned)
Grain structure predictions in CA models rely on spatiotemporal thermal information from melt pool heat transfer calculations. At the microscale, the high cooling rates in additive manufacturing cause significant thermal undercooling ahead of the dendrite tips. CA models use this undercooling to approximate dendrite tip velocities. However, resolution of such phenomena by the melt pool heat transfer calculations is computationally prohibitive. Therefore, volume averaging is used to approximate the relative amounts of thermodynamic phases present in a control volume based on local thermal conditions. To provide conceptually consistent thermal information with the interpretations of dendrite behavior, consideration is given to the thermodynamic and kinetic models used to approximate phase fractions in melt pool calculations. Further consideration is given to the calculation and interpolation of spatiotemporal thermal information down to the grain scale. Various methods are compared in terms of melt pool-scale and grain-scale predictions.
||Additive Manufacturing, Solidification, Modeling and Simulation