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

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 boundar...

Full description

Bibliographic Details
Main Authors:	Wang Sibing, Xu Wenchen, Wu He, Yuan Ranxu, Jin Xueze, Shan Debin
Format:	Article
Language:	English
Published:	EDP Sciences 2021-01-01
Series:	Manufacturing Review
Subjects:	az61 magnesium alloy cellular automaton adaptive activation energy deformation topology dynamic growth criterion
Online Access:	https://mfr.edp-open.org/articles/mfreview/full_html/2021/01/mfreview200058/mfreview200058.html

id	doaj-0753f7366104409c94240034a1c2facb
record_format	Article
spelling	doaj-0753f7366104409c94240034a1c2facb2021-05-04T12:21:59ZengEDP SciencesManufacturing Review2265-42242021-01-0181110.1051/mfreview/2021009mfreview200058Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topologyWang Sibing0Xu Wenchen1Wu He2Yuan Ranxu3Jin Xueze4https://orcid.org/0000-0002-2685-2215Shan DebinSchool of Materials Science and Engineering & National Key Laboratory for Precision Hot Processing of Metals, Harbin Institute of TechnologySchool of Materials Science and Engineering & National Key Laboratory for Precision Hot Processing of Metals, Harbin Institute of TechnologySchool of Materials Science and Engineering & National Key Laboratory for Precision Hot Processing of Metals, Harbin Institute of TechnologySchool of Materials Science and Engineering & National Key Laboratory for Precision Hot Processing of Metals, Harbin Institute of TechnologySchool of Materials Science and Engineering & National Key Laboratory for Precision Hot Processing of Metals, Harbin Institute of TechnologyThe 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.https://mfr.edp-open.org/articles/mfreview/full_html/2021/01/mfreview200058/mfreview200058.htmlaz61 magnesium alloycellular automatonadaptive activation energydeformation topologydynamic growth criterion
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Wang Sibing Xu Wenchen Wu He Yuan Ranxu Jin Xueze Shan Debin
spellingShingle	Wang Sibing Xu Wenchen Wu He Yuan Ranxu Jin Xueze Shan Debin Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology Manufacturing Review az61 magnesium alloy cellular automaton adaptive activation energy deformation topology dynamic growth criterion
author_facet	Wang Sibing Xu Wenchen Wu He Yuan Ranxu Jin Xueze Shan Debin
author_sort	Wang Sibing
title	Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology
title_short	Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology
title_full	Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology
title_fullStr	Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology
title_full_unstemmed	Simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology
title_sort	simulation of dynamic recrystallization of a magnesium alloy with a cellular automaton method coupled with adaptive activation energy and matrix deformation topology
publisher	EDP Sciences
series	Manufacturing Review
issn	2265-4224
publishDate	2021-01-01
description	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.
topic	az61 magnesium alloy cellular automaton adaptive activation energy deformation topology dynamic growth criterion
url	https://mfr.edp-open.org/articles/mfreview/full_html/2021/01/mfreview200058/mfreview200058.html
work_keys_str_mv	AT wangsibing simulationofdynamicrecrystallizationofamagnesiumalloywithacellularautomatonmethodcoupledwithadaptiveactivationenergyandmatrixdeformationtopology AT xuwenchen simulationofdynamicrecrystallizationofamagnesiumalloywithacellularautomatonmethodcoupledwithadaptiveactivationenergyandmatrixdeformationtopology AT wuhe simulationofdynamicrecrystallizationofamagnesiumalloywithacellularautomatonmethodcoupledwithadaptiveactivationenergyandmatrixdeformationtopology AT yuanranxu simulationofdynamicrecrystallizationofamagnesiumalloywithacellularautomatonmethodcoupledwithadaptiveactivationenergyandmatrixdeformationtopology AT jinxueze simulationofdynamicrecrystallizationofamagnesiumalloywithacellularautomatonmethodcoupledwithadaptiveactivationenergyandmatrixdeformationtopology AT shandebin simulationofdynamicrecrystallizationofamagnesiumalloywithacellularautomatonmethodcoupledwithadaptiveactivationenergyandmatrixdeformationtopology
_version_	1721478940622585856

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

Similar Items