Modeling and simulation of dynamic recrystallization behaviors of magnesium alloy AZ31B using cellular automaton method

2017 ◽  
Vol 136 ◽  
pp. 163-172 ◽  
Author(s):  
Ming-Song Chen ◽  
Wu-Quan Yuan ◽  
Hong-Bin Li ◽  
Zong-Huai Zou
Keyword(s):  
Magnesium Alloy ◽  
Dynamic Recrystallization ◽  
Modeling And Simulation ◽  
Cellular Automaton ◽  
Magnesium Alloy Az31b ◽  
Cellular Automaton Method

scholarly journals Modeling of Dynamic Recrystallization Behavior of As-Extruded AM50 Magnesium Alloy during Hot Compression by a Cellular Automaton Method

Metals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 75
Author(s):  
Dayu Shu ◽  
Jing Wang ◽  
Menghao Jiang ◽  
Gang Chen ◽  
Liwei Lu ◽  
...  
Keyword(s):  
Magnesium Alloy ◽  
Dynamic Recrystallization ◽  
Strain Rate ◽  
Cellular Automaton ◽  
Volume Fraction ◽  
Strain Rate Range ◽  
Dynamic Recrystallization Behavior ◽  
Ca Model ◽  
Cellular Automaton Method ◽  
Experimental Values

The dynamic recrystallization (DRX) behavior of as-extruded AM50 magnesium alloy was modelled and simulated by a cellular automaton (CA) method. Isothermal compression experiments were conducted, and the characteristic parameters in the CA model were obtained by the testing stress–strain flow curves in a wide temperature range of 250–450 °C and strain rate range of 0.001–10 s−1. The flow stress, DRX volume fraction and DRX grain size of the as-extruded AM50 magnesium alloy were predicted by CA simulation. The results showed that the DRX behavior of the studied magnesium alloy was susceptive with the temperature and strain rate; meanwhile, the prediction results were approximate to the experimental values, indicating that the developed CA model can make a confident estimation on the DRX behavior of the as-extruded AM50 magnesium alloy in high temperature conditions.

scholarly journals Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology

2021 ◽  
Vol 8 ◽  
pp. 11
Author(s):  
Sibing Wang ◽  
Wenchen Xu ◽  
He Wu ◽  
Ranxu Yuan ◽  
Xueze Jin ◽  
...  
Keyword(s):  
Activation Energy ◽  
Magnesium Alloy ◽  
Cellular Automata ◽  
Dynamic Recrystallization ◽  
Nucleation And Growth ◽  
Model Combining ◽  
Matrix Deformation ◽  
Ca Model ◽  
Simulation Results ◽  
Cellular Automaton Method

The cellular automata (CA) model combining topological deformation and adaptive activation energy was successfully constructed to analyze the thermal dynamic recrystallization of the magnesium alloy (AZ61). The simulation datum shown that the recrystallization nucleation located on the grain boundary (GB) once the density of dislocation accumulated to specific value, and the result presents a typical characteristics i.e., repeated nucleation and growth. The simulation results agree well with the experimental results because the activation energy affects recrystallization by affecting nucleation rate.

Sign in / Sign up

Export Citation Format

Share Document