Microstructural evolution and constitutive analysis of Al-Mg-Zn-Er-Zr based on arrhenius-type and machine-learning algorithm. (August 2022)

• Record Type: Journal Article
• Authors: Xue, Da; Wei, Wu; Shi, Wei; Zhou, Xiaorong; Rong, Li; Wen, Shengping; Wu, Xiaolan; Qi, Peng; Gao, Kunyuan; Huang, Hui; Nie, Zuoren
• Is Part Of: Materials today communications. Volume 32(2022)
• Publication Date: 2022-08
• Subjects: Al–Mg–Zn–Er–Zr alloy -- Machine-learning algorithm -- Mg32(Al, Zn)49 phase -- Dislocation; Materials science -- Periodicals; 620.11
• DOI: 10.1016/j.mtcomm.2022.104076
• Languages: English
• ISSNs: 2352-4928

Abstract

Abstract: In this work, artificial neural network (ANN) is employed to predict the hot deformation behavior of Al-Mg-Zn alloys containing small amounts of Er and Zr. A comparative study between the experimental results and the computational results based on Arrhenius constitutive equation and an ANN model was performed, where the theoretical calculation was used to predict the hot deformation behavior of the alloy. The results showed that relative errors obtained from Arrhenius constitutive equation were in the range of − 17.7% to + 13.6%, whereas the errors varied from − 9.3% to + 9.7% via ANN model. It suggests that the ANN model can avoid some uncertainties of the constitutive equation and predict the thermal deformation behavior of alloys more effectively. The dislocation density has also decreased with an increasing temperature or a decreasing strain rate. The dynamic aging effect and the dislocation density showed the opposite trend. As hot deformation can induce the intermittent precipitation of Mg32 (Al, Zn)49 at the grain boundaries, it is expected to improve the corrosion performance of alloy materials. Graphical Abstract: ga1 Highlights: ANN model can provide more accurate, rapid, and reliable results. The dislocation density decreases with increase of the temperature or decrease of the strain rate. The dynamic aging effect and the dislocation density would show an opposite trend. Hot deformation can induce the intermittent precipitation of Mg32 (Al, Zn)49 at grain boundaries.