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Simulation of dynamic recrystallization for aluminium alloy 7050 using cellular automaton

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Abstract

The prediction of microstructure evolution plays an important role in the design of forging process. In the present work, the cellular automaton (CA) program was developed to simulate the process of dynamic recrystallization (DRX) for aluminium alloy 7050. The material constants in CA models, including dislocation density, nucleation rate and grain growth, were determined by the isothermal compress tests on Gleeble 1500 machine. The model of dislocation density was obtained by linear regression method based on the experimental results. The influences of the deformation parameters on the percentage of DRX and the mean grain size for aluminium alloy 7050 were investigated in details by means of CA simulation. The simulation results show that, as temperature increases from 350 to 450 °C at a strain rate of 0.01 s−1, the percentage of DRX also increases greatly and the mean grain size decreases from 50 to 39.3 μm. The mean size of the recrystallied grains (R-grains) mainly depends on the Zener-Hollomon parameter. To obtain fine grain, the desired deformation temperature is determined from 400 to 450 °C.

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Authors and Affiliations

  1. Key Laboratory of Modern Complex Equipment Design and Extreme Manufacturing, Ministry of Education, Central South University, Changsha, 410083, China

    Shi-quan Huang  (黄始全), You-ping Yi  (易幼平) & Chao Liu  (刘超)

  2. School of Mechanical and Electrical Engineering, Central South University, Changsha, 410083, China

    Shi-quan Huang  (黄始全), You-ping Yi  (易幼平) & Chao Liu  (刘超)

Authors
  1. Shi-quan Huang  (黄始全)
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  2. You-ping Yi  (易幼平)
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  3. Chao Liu  (刘超)
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Corresponding author

Correspondence to You-ping Yi  (易幼平).

Additional information

Foundation item: Project(2005CB724105) supported by the Major State Basic Research Program of China; Project(IRT0549) supported by Program for Changjiang Scholars and Innovative Research Team in University

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Huang, Sq., Yi, Yp. & Liu, C. Simulation of dynamic recrystallization for aluminium alloy 7050 using cellular automaton. J. Cent. South Univ. Technol. 16, 18–24 (2009). https://doi.org/10.1007/s11771-009-0003-9

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  • DOI: https://doi.org/10.1007/s11771-009-0003-9

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