Microstructure evolution modeling during and after deformation in 304 austenitic stainless steel through cellular automaton approach

Yazdipour, Nima, Hodgson, Peter and Davies, C. H. J. 2009, Microstructure evolution modeling during and after deformation in 304 austenitic stainless steel through cellular automaton approach, International journal for multiscale computational engineering, vol. 7, no. 5, pp. 381-393, doi: 10.1615/IntJMultCompEng.v7.i5.

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Title Microstructure evolution modeling during and after deformation in 304 austenitic stainless steel through cellular automaton approach
Author(s) Yazdipour, Nima
Hodgson, Peter
Davies, C. H. J.
Journal name International journal for multiscale computational engineering
Volume number 7
Issue number 5
Start page 381
End page 393
Total pages 13
Publisher Begell House Inc.
Place of publication Redding, CT
Publication date 2009
ISSN 1543-1649
1940-4352
Keyword(s) Dynamic recrystallization
Static recrystallization
Postdeformation softening modeling
Cellular automation
Microstructure evolution
Softening kinetics
Summary A 2D cellular automation approach was used to simulate microstructure evolution during and after hot deformation. Initial properties of the microstructure and dislocation density were used as input data to the cellular automation model. The flow curve and final grain size were the output data for the dynamic recrystallization simulation, and softening kinetics curves were the output data of static and metadynamic recrystallization simulations. The model proposed in this work considered the effect of thermomechanical parameters (e.g., temperature and strain rate) on the nucleation and growth kinetics during dynamic recrystallization. The dynamic recrystallized microstructures at different strains, temperatures, and strain rates were used as input data for static and metadynamic recrystallization simulations. It was shown that the cellular automation approach can model the final microstructure and flow curve successfully in dynamic recrystallization conditions. The postdeformation simulation results showed that the time for 50% recrystallization decreases with increasing strain for a given initial grain size and that dynamic recrystallization slows the postdeformation recrystallization kinetics compared to a model without dynamic recrystallization.
Language eng
DOI 10.1615/IntJMultCompEng.v7.i5
Field of Research 091207 Metals and Alloy Materials
Socio Economic Objective 861206 Structural Metal Products
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
HERDC collection year 2009
Persistent URL http://hdl.handle.net/10536/DRO/DU:30028612

Document type: Journal Article
Collections: Centre for Material and Fibre Innovation
GTP Research
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