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A modified Johnson–Cook model for 304 stainless steel.

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Title: A modified Johnson–Cook model for 304 stainless steel.
Authors: Duan, Hongyan1 (AUTHOR) duanhy2019@163.com, Gao, Yuanji1 (AUTHOR) gaoyuanji280@gmail.com, Liu, Yang1 (AUTHOR) 18798220374@163.com, Di, Rongzhen1 (AUTHOR) 2933568387@qq.com, Shi, Yan1 (AUTHOR) shiyan1468@126.com
Source: Applied Physics A: Materials Science & Processing. Mar2025, Vol. 131 Issue 3, p1-15. 15p.
Subjects: Isothermal compression, Strain rate, Stainless steel, High temperatures, Statistical correlation
Abstract: 304 stainless steel (SS 304), as a high-temperature resistant material, has attracted widespread attention. To investigate the high-temperature rheological behavior of SS 304, isothermal hot compression tests were conducted using the Gleeble-3800 thermal simulation machine at temperatures ranging from 800 to 1200 °C, strain rates of 0.01 to 10 s - 1 , and a deformation of 60%. Based on the experimental data, the Johnson–Cook (JC) constitutive model was established and modified. By incorporating the coupling effects of strain, strain rate, and temperature, a more accurate constitutive equation was proposed. The results show that the modified JC model provides better predictions of the rheological behavior of SS 304, with a correlation coefficient (Rco) of 0.9884 and an average absolute relative error (AARE) of 8.452%, indicating high prediction accuracy. The modified model was validated using ABAQUS. This study provides important theoretical references for the hot processing of SS 304 and help accurately calculate the material's stress response at high temperatures, thereby optimizing processing parameters and enhancing material performance. [ABSTRACT FROM AUTHOR]
Copyright of Applied Physics A: Materials Science & Processing is the property of Springer Nature 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: A modified Johnson–Cook model for 304 stainless steel.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Physics+A%3A+Materials+Science+%26+Processing%22">Applied Physics A: Materials Science & Processing</searchLink>. Mar2025, Vol. 131 Issue 3, p1-15. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Isothermal+compression%22">Isothermal compression</searchLink><br /><searchLink fieldCode="DE" term="%22Strain+rate%22">Strain rate</searchLink><br /><searchLink fieldCode="DE" term="%22Stainless+steel%22">Stainless steel</searchLink><br /><searchLink fieldCode="DE" term="%22High+temperatures%22">High temperatures</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink>
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  Label: Abstract
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  Data: 304 stainless steel (SS 304), as a high-temperature resistant material, has attracted widespread attention. To investigate the high-temperature rheological behavior of SS 304, isothermal hot compression tests were conducted using the Gleeble-3800 thermal simulation machine at temperatures ranging from 800 to 1200 °C, strain rates of 0.01 to 10 s - 1 , and a deformation of 60%. Based on the experimental data, the Johnson–Cook (JC) constitutive model was established and modified. By incorporating the coupling effects of strain, strain rate, and temperature, a more accurate constitutive equation was proposed. The results show that the modified JC model provides better predictions of the rheological behavior of SS 304, with a correlation coefficient (Rco) of 0.9884 and an average absolute relative error (AARE) of 8.452%, indicating high prediction accuracy. The modified model was validated using ABAQUS. This study provides important theoretical references for the hot processing of SS 304 and help accurately calculate the material's stress response at high temperatures, thereby optimizing processing parameters and enhancing material performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Physics A: Materials Science & Processing is the property of Springer Nature 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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        Value: 10.1007/s00339-025-08276-6
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      – Code: eng
        Text: English
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      – SubjectFull: Isothermal compression
        Type: general
      – SubjectFull: Strain rate
        Type: general
      – SubjectFull: Stainless steel
        Type: general
      – SubjectFull: High temperatures
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      – SubjectFull: Statistical correlation
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              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
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