About this Abstract |
Meeting |
2021 TMS Annual Meeting & Exhibition
|
Symposium
|
Frontiers in Solidification Science VIII
|
Presentation Title |
Multiscale Modeling of Alloy Dendritic Growth with Liquid Convection |
Author(s) |
Thomas Isensee, Damien Tourret |
On-Site Speaker (Planned) |
Thomas Isensee |
Abstract Scope |
The dendritic needle network (DNN) model is designed to bridge the scale gap between phase-field simulations at the scale of individual dendrites and coarse-grained simulations at the scale of entire grain structures. Because melt flow dynamics is in many cases inevitable (e.g. through gravity-induced buoyancy) and plays a crucial role in dendritic pattern formation, the model was recently extended to account for convective transport in the liquid, in both two and three dimensions. Here, we present the latest developments in the DNN modeling approach coupled to fluid flow, and illustrate its potential with two applications: (1) isothermal equiaxed growth within a forced flow to study the effect of dendrite orientation with respect to the flow direction, and (2) directional solidification under natural convection to study the effect of buoyant flow on columnar dendritic array selection. |
Proceedings Inclusion? |
Planned: |