Grain Growth during Annealing: Experiments and Modelling

M. Candic; Bao Hui Tian; Christof Sommitsch

doi:10.4028/www.scientific.net/MSF.715-716.611

Paper Titles

Mechanisms of Dynamic Recrystallization in Coarse Columnar-Grained Cu-Sn-P Alloy
p.586

Modelling of Recrystallization Nucleation at Hard Inclusions
p.593

Molecular Dynamics Simulation of Grain Growth in Nanocrystalline Ni
p.599

Preparation and Thermal Stability of a Mechanically Alloyed Oxide Dispersion Strengthened Ferritic Steels
p.605

Grain Growth during Annealing: Experiments and Modelling
p.611

The Influence of Oxide Inclusion on Austenite Grain Size and Heat Affected Zone Toughness for Low Carbon Steels
p.617

Potts Model Simulation of Grain Boundary Junction Limited Grain Growth
p.623

Annealing Behavior of Ferritic-Martensitic ODS-Eurofer Steel: Effect of Y₂O₃ Particles on Recrystallization
p.629

Towards a Phase Field Model of the Microstructural Evolution of Duplex Steel with Experimental Verification
p.635

HomeMaterials Science ForumMaterials Science Forum Vols. 715-716Grain Growth during Annealing: Experiments and...

Grain Growth during Annealing: Experiments and Modelling

Abstract:

In the present work, for the description of grain coarsening, a probabilistic and a deterministic 2D cellular automaton simulation setup were developed. The results of the simulation have been validated by solution annealing experiments of austenitic stainless steel 304L (Fe-18Cr-8Ni) at different temperatures and times. Both cellular automata models show an excellent correlation between the experimental determined data and grain growth kinetics based upon considerations of temperature and second phase particles. Additionally, a two parameter approach of the probabilistic model was implemented, resulting in determining the grain sizes limiting normal and abnormal grains and accurate description of grain growth.

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Materials Science Forum (Volumes 715-716)

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611-616

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https://doi.org/10.4028/www.scientific.net/MSF.715-716.611

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Online since:

April 2012

Authors:

M. Candic, Bao Hui Tian, Christof Sommitsch

Keywords:

Cellular Automaton (CA), Grain Growth, Modeling, Solution Annealing

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