Modeling Recrystallization in Aluminum Using Input from Experimental Observations

Abhijit P. Brahme; Joseph M. Fridy; Anthony D. Rollett

doi:10.4028/www.scientific.net/MSF.558-559.1057

Paper Titles

Interplay between Surface and Grain Boundary in Sintering
p.1029

A Texture Component Model for Predicting Recrystallization Textures
p.1035

Modeling of Cube-Texture Evolution during Grain Growth in Ni Thick-Films based on Experimental Observations
p.1043

The Effect of Grain Boundary Junctions on Grain Microstructure Evolution: 3D Vertex Simulation
p.1051

Modeling Recrystallization in Aluminum Using Input from Experimental Observations
p.1057

Implementation of Twin Reorientation and Softening Schemes in a Polycrystal Plasticity Model for Mg Alloys
p.1063

Computer Simulations of Kinetics and Texture of Recrystallisation by a 3-D Potts Monte Carlo Model
p.1069

Computer Simulations Combining Finite Difference and Finite Element Methods: Solute Drag on Migrating Grain Boundaries in Three-Dimension
p.1075

Simulation of Recrystallization Using Molecular Dynamics; Effects of the Interatomic Potential
p.1081

HomeMaterials Science ForumMaterials Science Forum Vols. 558-559Modeling Recrystallization in Aluminum Using Input...

Modeling Recrystallization in Aluminum Using Input from Experimental Observations

Abstract:

A model has been constructed for the microstructural evolution that occurs during the annealing of aluminum alloys. Geometric and crystallographic observations from two orthogonal sections through a polycrystal using automated Electron Back-Scatter Diffraction (EBSD) were used as an input to the computer simulations to create a statistically representative threedimensional model. The microstructure is generated using a voxel-based tessellation technique. Assignment of orientations to the grains is controlled to ensure that both texture and nearest neighbor relationships match the observed distributions. The microstructures thus obtained are allowed to evolve using a Monte-Carlo simulation. Anisotropic grain boundary properties are used in the simulations. Nucleation is done in accordance with experimental observations on the likelihood of occurrences in particular neighborhoods. We will present the effect of temperature on the model predictions.