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

Sibing Wang; Wenchen Xu; He Wu; Ranxu Yuan; Xueze Jin; Debin Shan

doi:10.1051/mfreview/2021009

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

Sibing Wang
, Wenchen Xu^*
, He Wu
, Ranxu Yuan
, Xueze Jin
, Debin Shan^*

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Journal	Manufacturing Review
Volume	8
DOIs	https://doi.org/10.1051/mfreview/2021009
State	Published - 2021
Externally published	Yes

Keywords

AZ61 magnesium alloy
Adaptive activation energy
Cellular automaton
Deformation topology
Dynamic growth criterion

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10.1051/mfreview/2021009

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@article{51b87ce6e20f46bdae7787863b2b13fb,

title = "Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology",

abstract = "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.",

keywords = "AZ61 magnesium alloy, Adaptive activation energy, Cellular automaton, Deformation topology, Dynamic growth criterion",

author = "Sibing Wang and Wenchen Xu and He Wu and Ranxu Yuan and Xueze Jin and Debin Shan",

note = "Publisher Copyright: {\textcopyright} S. Wang et al., Published by EDP Sciences 2021.",

year = "2021",

doi = "10.1051/mfreview/2021009",

language = "英语",

volume = "8",

journal = "Manufacturing Review",

issn = "2265-4224",

publisher = "EDP Sciences",

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TY - JOUR

T1 - Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology

AU - Wang, Sibing

AU - Xu, Wenchen

AU - Wu, He

AU - Yuan, Ranxu

AU - Jin, Xueze

AU - Shan, Debin

N1 - Publisher Copyright: © S. Wang et al., Published by EDP Sciences 2021.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - AZ61 magnesium alloy

KW - Adaptive activation energy

KW - Cellular automaton

KW - Deformation topology

KW - Dynamic growth criterion

UR - https://www.scopus.com/pages/publications/85104242563

U2 - 10.1051/mfreview/2021009

DO - 10.1051/mfreview/2021009

M3 - 文章

AN - SCOPUS:85104242563

SN - 2265-4224

VL - 8

JO - Manufacturing Review

JF - Manufacturing Review

ER -

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

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Keywords

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