Constitutive Analysis of the Deformation Behavior of Al-Mg-Si Alloy Under Various Forming Conditions Using Several Modeling Approaches

The hot-flow behaviors of Al-Mg-Si alloy are complex because they depend on ε, ε˙, and T. Hence, it is vital to understand and determine the Al-Mg-Si alloy's flow behaviors under several deformation conditions. Therefore, in this study, Crystal Plasticity (CP) modeling, modified Zerilli-Armstrong (MZA), and two JC models were developed to precisely determine the hot deformation behaviors of this alloy. The reliability and predictability of these models were evaluated via comparisons of the determined and experimental results acquired in the ε˙ range of 10<sup>-3</sup> to 1 s<sup>-1</sup> and T range of 400-550 °C. Additionally, statistical parameters including the RMSE, AARE, and R were utilized to assess these models' reliability for determining this alloy's flow behaviors under several forming conditions. By analyzing these statistical parameters and comparing the predicted and experimental stresses, it can be concluded that the flow stresses predicted by the CP modeling and S2-MJC model exhibit a strong alignment with the experimental flow stresses. This contrasts with the results from the MZA and S1-MJC models. These results are attributed to the ability of CP modeling to couple the microstructure state of this alloy and the interactions between ε and ε˙ on the one hand and between T, ε˙, and ε on the other hand, facilitated by a comprehensive set of parameters that link the dynamic recovery and softening mechanisms components in the S2-MJC model.

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Publication Details

Journal
Materials
Published
2025-03-01
DOI
https://doi.org/10.3390/ma18051121
Citations
2
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
1.43

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article

Constitutive Analysis of the Deformation Behavior of Al-Mg-Si Alloy Under Various Forming Conditions Using Several Modeling Approaches

Shihong Zhang, Alamry Ali, Bandar Alzahrani, Yong Ping Hou et al.
2 citations
Materials
Metal Forming Simulation Techniques
1.43
article

Constitutive Analysis of the Deformation Behavior of Al-Mg-Si Alloy Under Various Forming Conditions Using Several Modeling Approaches

Shihong Zhang, Alamry Ali, Bandar Alzahrani, Yong Ping Hou, Ali Abd El-Aty, Mohamed M. Z. Ahmed, Abdallah Shokry, Yong Xu
article en
2 citations

Abstract

The hot-flow behaviors of Al-Mg-Si alloy are complex because they depend on ε, ε˙, and T. Hence, it is vital to understand and determine the Al-Mg-Si alloy's flow behaviors under several deformation conditions. Therefore, in this study, Crystal Plasticity (CP) modeling, modified Zerilli-Armstrong (MZA), and two JC models were developed to precisely determine the hot deformation behaviors of this alloy. The reliability and predictability of these models were evaluated via comparisons of the determined and experimental results acquired in the ε˙ range of 10<sup>-3</sup> to 1 s<sup>-1</sup> and T range of 400-550 °C. Additionally, statistical parameters including the RMSE, AARE, and R were utilized to assess these models' reliability for determining this alloy's flow behaviors under several forming conditions. By analyzing these statistical parameters and comparing the predicted and experimental stresses, it can be concluded that the flow stresses predicted by the CP modeling and S2-MJC model exhibit a strong alignment with the experimental flow stresses. This contrasts with the results from the MZA and S1-MJC models. These results are attributed to the ability of CP modeling to couple the microstructure state of this alloy and the interactions between ε and ε˙ on the one hand and between T, ε˙, and ε on the other hand, facilitated by a comprehensive set of parameters that link the dynamic recovery and softening mechanisms components in the S2-MJC model.

MaterialsVol. 18(5)
Prince Sattam Bin Abdulaziz University (SA), Chinese Academy of Sciences (CN), TU Dortmund University (DE), Fayoum University (EG)
Prince Sattam bin Abdulaziz University
Openalex Percentile: Top 22%
Metal Forming Simulation Techniques
1.43
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