Application of Four Different Models for Predicting the High-Temperature Flow Behavior of 1420 Al–Li Alloy
In this paper, the high-temperature rheological behavior of 1420 aluminum–lithium alloy under experimental conditions (temperatures of 350–475 °C and strain rates of 0.01–10 s<sup>−1</sup>) was systematically investigated using a Gleeble-3500 thermal simulation tester (temperature 350~47...
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MDPI AG
2022-11-01
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author | Yuyan Yang Xiaohui Dong Teng Zhao Zhou Zhou Yu Qiu Fei Wang Rui Luo |
author_facet | Yuyan Yang Xiaohui Dong Teng Zhao Zhou Zhou Yu Qiu Fei Wang Rui Luo |
author_sort | Yuyan Yang |
collection | DOAJ |
description | In this paper, the high-temperature rheological behavior of 1420 aluminum–lithium alloy under experimental conditions (temperatures of 350–475 °C and strain rates of 0.01–10 s<sup>−1</sup>) was systematically investigated using a Gleeble-3500 thermal simulation tester (temperature 350~475 °C, strain rate of 0.01~10 s<sup>−1</sup>). Based on the flow stress curves of this alloy, four different types of high-temperature constitutive models of the alloy were constructed: the Arrhenius (AR) model, the Modified Johnson–Cook (MJC) model, the Modified Zerilli–Armstrong (MZA) model, and the VOCE model. The prediction accuracy of the four constitutive models was compared, and the response of the accuracy of the four constitutive models to the deformation parameters (temperature, deformation rate, and strain) was analyzed. The results showed that the VOCE, AR, and MZA models had high overall prediction accuracy with average absolute relative error (AARE) of 1.8933%, 3.9912%, and 7.8422%, respectively. The VOCE model could achieve the prediction of large strain deformation resistance under small strain with small batch experimental conditions for the corresponding conditions. The AR model had optimal prediction accuracy for the high-rate deformation process. The MJC model had the optimal prediction accuracy for the low-temperature low-rate deformation process. The MZA model had better prediction accuracy for the low-rate high-temperature deformation process. The 1420 aluminum–lithium alloy process parameters selection area constitutive model matching diagram was constructed. |
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language | English |
last_indexed | 2024-03-09T16:06:14Z |
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spelling | doaj.art-7d977cc9066e40a3a2a189112339342b2023-11-24T16:39:39ZengMDPI AGMetals2075-47012022-11-011212202910.3390/met12122029Application of Four Different Models for Predicting the High-Temperature Flow Behavior of 1420 Al–Li AlloyYuyan Yang0Xiaohui Dong1Teng Zhao2Zhou Zhou3Yu Qiu4Fei Wang5Rui Luo6School of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, ChinaAVIC Manufacturing Technology Institute, Beijing 100024, ChinaSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, ChinaIn this paper, the high-temperature rheological behavior of 1420 aluminum–lithium alloy under experimental conditions (temperatures of 350–475 °C and strain rates of 0.01–10 s<sup>−1</sup>) was systematically investigated using a Gleeble-3500 thermal simulation tester (temperature 350~475 °C, strain rate of 0.01~10 s<sup>−1</sup>). Based on the flow stress curves of this alloy, four different types of high-temperature constitutive models of the alloy were constructed: the Arrhenius (AR) model, the Modified Johnson–Cook (MJC) model, the Modified Zerilli–Armstrong (MZA) model, and the VOCE model. The prediction accuracy of the four constitutive models was compared, and the response of the accuracy of the four constitutive models to the deformation parameters (temperature, deformation rate, and strain) was analyzed. The results showed that the VOCE, AR, and MZA models had high overall prediction accuracy with average absolute relative error (AARE) of 1.8933%, 3.9912%, and 7.8422%, respectively. The VOCE model could achieve the prediction of large strain deformation resistance under small strain with small batch experimental conditions for the corresponding conditions. The AR model had optimal prediction accuracy for the high-rate deformation process. The MJC model had the optimal prediction accuracy for the low-temperature low-rate deformation process. The MZA model had better prediction accuracy for the low-rate high-temperature deformation process. The 1420 aluminum–lithium alloy process parameters selection area constitutive model matching diagram was constructed.https://www.mdpi.com/2075-4701/12/12/20291420 aluminum–lithium alloyAR modelMJC modelMZA modelVOCE modelconstitutive equation |
spellingShingle | Yuyan Yang Xiaohui Dong Teng Zhao Zhou Zhou Yu Qiu Fei Wang Rui Luo Application of Four Different Models for Predicting the High-Temperature Flow Behavior of 1420 Al–Li Alloy Metals 1420 aluminum–lithium alloy AR model MJC model MZA model VOCE model constitutive equation |
title | Application of Four Different Models for Predicting the High-Temperature Flow Behavior of 1420 Al–Li Alloy |
title_full | Application of Four Different Models for Predicting the High-Temperature Flow Behavior of 1420 Al–Li Alloy |
title_fullStr | Application of Four Different Models for Predicting the High-Temperature Flow Behavior of 1420 Al–Li Alloy |
title_full_unstemmed | Application of Four Different Models for Predicting the High-Temperature Flow Behavior of 1420 Al–Li Alloy |
title_short | Application of Four Different Models for Predicting the High-Temperature Flow Behavior of 1420 Al–Li Alloy |
title_sort | application of four different models for predicting the high temperature flow behavior of 1420 al li alloy |
topic | 1420 aluminum–lithium alloy AR model MJC model MZA model VOCE model constitutive equation |
url | https://www.mdpi.com/2075-4701/12/12/2029 |
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