|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Computational Design and Simulation of Materials (CDSM 2018): Meso/Macroscale Simulations
||Transient Computational Model for the Prediction of Grain Structure Evolution during Bridgman Solidification of Gamma-TiAl Alloys
||Sara Battaglioli, Robin P. Mooney, Anthony J. Robinson, Shaun McFadden
|On-Site Speaker (Planned)
Processing technologies for metallic components that involve solidification, e.g. directional solidification of turbine blades, require to deeply understand how process parameters influence the formation of different grain morphologies, such as columnar, equiaxed grains, or columnar to equiaxed transition (CET). Bridgman furnaces are used for this purpose, since they allow to control solidification parameters such as axial temperature gradient and cooling rates. Nonetheless, due to transient phenomena and geometry factors, predicting the actual heat fluxes and final grain structure in the samples is non-trivial. In this work, a 2D axisymmetric front tracking model for transient solidification of gamma-TiAl cylindrical samples in a Bridgman furnace is presented. The model can predict the growth of axial and radial columnar grains, while also predicting equiaxed growth and CET. Several scenarios were simulated and examples of axial columnar growth, radial columnar growth, and CET are discussed in detail with elucidation from the model.
||Planned: Supplemental Proceedings volume