About this Abstract |
Meeting |
MS&T21: Materials Science & Technology
|
Symposium
|
Multi Scale Modeling of Microstructure Deformation in Material Processing
|
Presentation Title |
The Role of the Initial Digital Microstructure Generation Algorithm in the Cellular Automata Static Recrystallization Predictions |
Author(s) |
Mateusz Sitko, Lukasz Madej |
On-Site Speaker (Planned) |
Lukasz Madej |
Abstract Scope |
Evaluation of the influence of the initial digital microstructure generation algorithm on the cellular automata static recrystallization model predictions is the work's primary goal. The initial digital microstructures were generated with unconstrained grain growth algorithms based on the Monte Carlo, Cellular Automata (CA), and Voronoi tessellation methods. The stored energy, which is a driving force for recrystallization, was distributed in homogenous and heterogeneous manners. Finally, based on such input data, the static recrystallization was simulated with the CA algorithm to identify the influence of initial grain boundaries morphology on the process kinetics. |