The cellular automaton simulation of static recrystallization in cold-rolled AA1050

Journal Article · Fri Apr 23 04:00:00 EDT 1999 · Scripta Materialia

DOI:https://doi.org/10.1016/S1359-6462(99)00021-4· OSTI ID:361736

Davies, C H.J.; Hong, L ^[1]

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1. Monash Univ., Clayton, Victoria (Australia). Dept. of Materials Engineering

As the latitude for property optimization in conventional engineering alloys diminishes, models of microstructural evolution have become more sophisticated in attempts to more accurately reproduce the behavior of a metal during processing. Of particular importance for metal processing is the effective modelling of static recrystallization; this paper reports the implementation of one of several parallel methodologies for simulating recrystallization: the cellular automaton technique. The cellular automaton simulation described in this paper combines the attractive probabilistic nature of the Monte Carlo method with the practical advantage associated with the geometrical approach of being readily calibrated to experiments. The study shows that recrystallization behavior can be simulated with reasonable accuracy without having to explicitly encode the form of the recrystallization kinetics, and builds on previous work by incorporating crystallographic texture into the simulation. Simulated grain size distributions and means were found to be comparable to experimental values for each of three texture classes, as well as for the combination of the three classes, although some anomalies were observed. The kinetics of the simulation were in reasonable agreement with the experimentally-determined kinetics.

• OSTI ID: 361736
• Journal Information: Scripta Materialia, Journal Name: Scripta Materialia Journal Issue: 10 Vol. 40; ISSN 1359-6462; ISSN SCMAF7
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
ALUMINIUM BASE ALLOYS
GRAIN SIZE
KINETICS
MATHEMATICAL MODELS
RECRYSTALLIZATION
SIMULATION
TEXTURE