Simulation of Dynamic Recrystallization in 7075 Aluminum Alloy Using Cellular Automaton

The evolution of microstructure during hot deformation is key to achieving good mechanical properties in aluminum alloys. We have developed a cellular automaton (CA) based model to simulate the microstructural evolution in 7075 aluminum alloy during hot deformation. Isothermal compression tests were...

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Bibliographic Details
Published in:Journal of Wuhan University of Technology. Materials science edition 2024-04, Vol.39 (2), p.425-435
Main Authors: Zhao, Xiaodong, Shi, Dongxing, Li, Yajie, Qin, Fengming, Chu, Zhibing, Yang, Xiaorong
Format: Article
Language:English
Subjects:
Alloys
Aluminum alloys
Aluminum base alloys
Cellular automata
Chemistry and Materials Science
Compression tests
Deformation
Deformation effects
Dislocation density
Dynamic recrystallization
Electron back scatter
Evolution
Grain growth
Grain refinement
Grain size
High temperature
Materials Science
Mechanical properties
Metallic Materials
Microstructure
Model accuracy
Nucleation
Simulation
Strain rate
Yield strength
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Summary:The evolution of microstructure during hot deformation is key to achieving good mechanical properties in aluminum alloys. We have developed a cellular automaton (CA) based model to simulate the microstructural evolution in 7075 aluminum alloy during hot deformation. Isothermal compression tests were conducted to obtain material parameters for 7075 aluminum alloy, leading to the establishment of models for dislocation density, nucleation of recrystallized grains, and grain growth. Integrating these aspects with grain topological deformation, our CA model effectively predicts flow stress, dynamic recrystallization (DRX) volume fraction, and average grain size under diverse deformation conditions. A systematic comparison was made between electron back scattered diffraction (EBSD) maps and CA model simulated under different deformation temperatures (573 to 723 K), strain rates (0.001 to 1 s −1 ), and strain amounts (30% to 70%). These analyses indicate that large strain, high temperature, and low strain rate facilitate dynamic recrystallization and grain refinement. The results from the CA model show good accuracy and predictive capability, with experimental error within 10%.
ISSN:1000-2413
1993-0437
DOI:10.1007/s11595-024-2898-2