About this Abstract |
Meeting |
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
Symposium
|
6th World Congress on Integrated Computational Materials Engineering (ICME 2022)
|
Presentation Title |
Study of Dendrite Growth in Nickel-Based Superalloy Directional Solidification via a GPU-Accelerated Multiphase-Field-Lattice Boltzmann Method |
Author(s) |
Huxiang Xia |
On-Site Speaker (Planned) |
Huxiang Xia |
Abstract Scope |
Dendrite morphology evolution is closely related to the occurrence of various defects and directly affects the quality of the alloy in the directional solidification process. In this study, a multiphase-field model was applied to simulate the dendrite growth in the nickel-based superalloy directional solidification process. The influence of natural convection, which is the main factor leading freckles formation in alloy solidification, was investigated by coupling with the lattice Boltzmann method. The thermodynamic data used in this simulation was obtained from PanNickel thermodynamic database. The dendrite morphology was analyzed between with and without nature convection condition, and the result shows that the dendrite morphology under natural convection condition is more consistent with the actual alloy. The effect of grain orientation on the dendrite morphology was studied. It was found that the average flow velocity in the mushy zone doesn’t change much when the grain inclination angle θ≤10°. |
Proceedings Inclusion? |
Definite: Other |