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

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Title: Constitutive Analysis of the Deformation Behavior of Al-Mg-Si Alloy Under Various Forming Conditions Using Several Modeling Approaches.
Authors: Alzahrani, Bandar1 (AUTHOR), Abd El-Aty, Ali1,2 (AUTHOR) a.hassibelnaby@psau.edu.sa, Xu, Yong2,3 (AUTHOR), Hou, Yong4 (AUTHOR), Zhang, Shi-Hong2,3,5 (AUTHOR), Ali, Alamry1 (AUTHOR), Ahmed, Mohamed M. Z.1,2 (AUTHOR), Shokry, Abdallah3,5 (AUTHOR)
Source: Materials (1996-1944). Mar2025, Vol. 18 Issue 5, p1121. 17p.
Subjects: Strain rate, Crystal models, Behavioral assessment, Alloys, Microstructure
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 10−3 to 1 s−1 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. [ABSTRACT FROM AUTHOR]
Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Constitutive Analysis of the Deformation Behavior of Al-Mg-Si Alloy Under Various Forming Conditions Using Several Modeling Approaches.
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  Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. Mar2025, Vol. 18 Issue 5, p1121. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Strain+rate%22">Strain rate</searchLink><br /><searchLink fieldCode="DE" term="%22Crystal+models%22">Crystal models</searchLink><br /><searchLink fieldCode="DE" term="%22Behavioral+assessment%22">Behavioral assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Alloys%22">Alloys</searchLink><br /><searchLink fieldCode="DE" term="%22Microstructure%22">Microstructure</searchLink>
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  Data: 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 10−3 to 1 s−1 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        PageCount: 17
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      – SubjectFull: Crystal models
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      – SubjectFull: Behavioral assessment
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      – SubjectFull: Microstructure
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      – TitleFull: Constitutive Analysis of the Deformation Behavior of Al-Mg-Si Alloy Under Various Forming Conditions Using Several Modeling Approaches.
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              M: 03
              Text: Mar2025
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              Y: 2025
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