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Simulation of dynamic recrystallization using random grid cellular automata

Yazdipour, N., Davies, C. and Hodgson, Peter 2007, Simulation of dynamic recrystallization using random grid cellular automata, Computer methods in materials science, vol. 7, no. 1, pp. 168-174.

Document type: Journal Article
Collection: Centre for Material and Fibre Innovation

Title Simulation of dynamic recrystallization using random grid cellular automata
Author(s) Yazdipour, N.
Davies, C.
Hodgson, Peter
Journal name Computer methods in materials science
Volume number 7
Issue number 1
Start page 168
End page 174
Publisher Publishing House AKAPIT
Place of publication Krakow, Poland
Publication date 2007
ISSN 1641-8581
Summary Computer simulation is a powerful tool to predict microstructure and its evolution in dynamic and post-dynamic recrystallization. CAFE proposed as an appropriate approach by combining finite element (FE) method and cellular automata (CA) for recrystallization simulation. In the current study, a random grid cellular automaton (CA), as micro-scale model, based on finite element (FE), as macro-scale method, has been used to study initial and evolving microstructural features; including nuclei densities, dislocation densities, grain size and grain boundary movement during dynamic recrystallization in a C-Mn steel. An optimized relation has been established between mechanical variables and evolving microstructure features during recrystallization and grain growth. In this model, the microstructure is defined as cells located within grains and grain boundaries while dislocations are randomly dispersed throughout microstructure. Changes of dislocation density during deformation are described considering hardening, recovery and recrystallization. Recrystallization is assumed to initiate near grain boundaries and nucleation rate was considered constant (site-saturated condition). The model produced a mathematical formulation which captured the initial and evolving microstructural entities and linked their effects to measurable macroscopic variables (e.g. stress).
Language eng
Field of Research 091299 Materials Engineering not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007759
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