A novel simulation of continuous dynamic recrystallization process for 2219 aluminium alloy using cellular automata technique
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A novel simulation of continuous dynamic recrystallization process for 2219 aluminium alloy using cellular automata technique
Authors
Keywords
Al 2219 alloy, Continuous dynamic recrystallization, Low angle grain boundary, Misorientation angle, Cellular automata
Journal
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
Volume 815, Issue -, Pages 141256
Publisher
Elsevier BV
Online
2021-04-21
DOI
10.1016/j.msea.2021.141256
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Study of dynamic recrystallization behavior of T2 copper in hot working conditions by experiments and cellular automaton method
- (2019) Hongming Zhang et al. JOURNAL OF ALLOYS AND COMPOUNDS
- Simulation of dynamic recrystallization for an Al-Zn-Mg-Cu alloy using cellular automaton
- (2019) Jie Zhang et al. Progress in Natural Science-Materials International
- Modified kinetic model for describing continuous dynamic recrystallization behavior of Al 2219 alloy during hot deformation process
- (2019) Lei Liu et al. JOURNAL OF ALLOYS AND COMPOUNDS
- Monte Carlo modeling of recrystallization processes in α-uranium
- (2017) M.A. Steiner et al. JOURNAL OF NUCLEAR MATERIALS
- Modeling and simulation of dynamic recrystallization behavior for 42CrMo steel by an extended cellular automaton method
- (2017) Ming-Song Chen et al. VACUUM
- The kinetics and cellular automaton modeling of dynamic recrystallization behavior of a medium carbon Cr-Ni-Mo alloyed steel in hot working process
- (2016) Chi Zhang et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Recrystallization and texture evolution during hot rolling of copper, studied by a multiscale model combining crystal plasticity and vertex models
- (2016) Y Mellbin et al. MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING
- Time and length scale issues in numerical modelling of dynamic recrystallization based on the multi space cellular automata method
- (2016) Mateusz Sitko et al. Journal of Computational Science
- 2D finite element modeling of misorientation dependent anisotropic grain growth in polycrystalline materials: Level set versus multi-phase-field method
- (2015) Y. Jin et al. COMPUTATIONAL MATERIALS SCIENCE
- Study of dynamic recrystallization in a Ni-based superalloy by experiments and cellular automaton model
- (2015) Yan-Xing Liu et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Modelling the dynamic recrystallization in C–Mn micro-alloyed steel during thermo-mechanical treatment using cellular automata
- (2014) Alexander Timoshenkov et al. COMPUTATIONAL MATERIALS SCIENCE
- Simulation of dynamic recrystallization of NiTi shape memory alloy during hot compression deformation based on cellular automaton
- (2013) Yanqiu Zhang et al. COMPUTATIONAL MATERIALS SCIENCE
- Modeling the dynamic recrystallization in austenitic stainless steel using cellular automaton method
- (2013) Fei Chen et al. COMPUTATIONAL MATERIALS SCIENCE
- Investigation on dynamic recrystallization using a modified cellular automaton
- (2012) Zhaoyang Jin et al. COMPUTATIONAL MATERIALS SCIENCE
- Towards realistic molecular dynamics simulations of grain boundary mobility
- (2011) J. Zhou et al. ACTA MATERIALIA
- Simulation of static recrystallization in non-isothermal annealing using a coupled cellular automata and finite element model
- (2011) M. Seyed Salehi et al. COMPUTATIONAL MATERIALS SCIENCE
- Modelling the Effect of Initial Grain Size on Dynamic Recrystallization Using a Modified Cellular Automata and a Adaptive Response Surface Method
- (2011) Zhaoyang Jin et al. JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
- Simulation of discontinuous dynamic recrystallization in pure Cu using a probabilistic cellular automaton
- (2010) Håkan Hallberg et al. COMPUTATIONAL MATERIALS SCIENCE
- Numerical modeling of dynamic recrystallization during nonisothermal hot compression by cellular automata and finite element analysis
- (2010) Ho Won Lee et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- Mesoscale simulation of the high-temperature austenitizing and dynamic recrystallization by coupling a cellular automaton with a topology deformation technique
- (2010) Fei Chen et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Identification of nucleation parameter for cellular automaton model of dynamic recrystallization
- (2010) Zhao-yang JIN et al. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
- A grain scale approach for modeling steady-state discontinuous dynamic recrystallization
- (2009) F. Montheillet et al. ACTA MATERIALIA
- Modelling discontinuous dynamic recrystallization using a physically based model for nucleation
- (2009) D.G. Cram et al. ACTA MATERIALIA
- Multi-phase-field simulations for dynamic recrystallization
- (2009) T. Takaki et al. COMPUTATIONAL MATERIALS SCIENCE
- Mesoscopic modeling of austenite static recrystallization in a low carbon steel using a coupled simulation method
- (2009) Chengwu Zheng et al. COMPUTATIONAL MATERIALS SCIENCE
- Phase field study of the effect of grain boundary energy anisotropy on grain growth
- (2009) Ashis Mallick et al. COMPUTATIONAL MATERIALS SCIENCE
- A simulation of dynamic recrystallization by coupling a cellular automaton method with a topology deformation technique
- (2007) Namin Xiao et al. COMPUTATIONAL MATERIALS SCIENCE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started