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Predictive Correlation Between Hardness and Tensile Properties of Submerged Arc Welded API X70 Steel.

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Title: Predictive Correlation Between Hardness and Tensile Properties of Submerged Arc Welded API X70 Steel.
Authors: Lahouel, Ali1 (AUTHOR), Athmani, Sameh2 (AUTHOR), Sedik, Amel2,3 (AUTHOR), Saoudi, Adel2,4 (AUTHOR), Barille, Regis3,5 (AUTHOR) amalkasme@imamu.edu.sa, Khezami, Lotfi1,4 (AUTHOR) mamoune.fellah@univ-khenchela.dz, Guesmi, Ahlem2,4 (AUTHOR), Fellah, Mamoun3,5 (AUTHOR)
Source: Materials (1996-1944). Oct2025, Vol. 18 Issue 19, p4482. 22p.
Subjects: Hardness, Vickers hardness, Statistical correlation, Tensile strength, Low alloy steel, Submerged arc welding, Pipeline safety measures, Mechanical behavior of materials
Abstract: This research investigates the statistical correlation between Vickers hardness and tensile properties of helical submerged arc welded high-strength low-alloy (HSLA) API X70 pipeline steel. Tensile tests were performed on cross-weld joints from 138 pipe specimens. Vickers hardness measurements were also conducted on 138 samples to evaluate the hardness distribution across the base metal, fusion zone, and heat-affected zone. Results show that the fusion zone exhibits the highest hardness, correlating with enhanced tensile strength (R2 = 82%). Linear regression models indicate that base metal hardness significantly influences yield strength (R2 = 71%), while moderate negative correlations exist with elongation (R2 = 54%). These findings suggest that hardness measurements can serve as a non-destructive predictive tool for tensile properties, improving weld quality and mechanical performance. This research provides empirical models that enhance the application of API X70 in critical engineering applications, improving pipeline safety and reliability. [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.)
Database: Engineering Source
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  Data: Predictive Correlation Between Hardness and Tensile Properties of Submerged Arc Welded API X70 Steel.
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  Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. Oct2025, Vol. 18 Issue 19, p4482. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Hardness%22">Hardness</searchLink><br /><searchLink fieldCode="DE" term="%22Vickers+hardness%22">Vickers hardness</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Tensile+strength%22">Tensile strength</searchLink><br /><searchLink fieldCode="DE" term="%22Low+alloy+steel%22">Low alloy steel</searchLink><br /><searchLink fieldCode="DE" term="%22Submerged+arc+welding%22">Submerged arc welding</searchLink><br /><searchLink fieldCode="DE" term="%22Pipeline+safety+measures%22">Pipeline safety measures</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+behavior+of+materials%22">Mechanical behavior of materials</searchLink>
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  Label: Abstract
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  Data: This research investigates the statistical correlation between Vickers hardness and tensile properties of helical submerged arc welded high-strength low-alloy (HSLA) API X70 pipeline steel. Tensile tests were performed on cross-weld joints from 138 pipe specimens. Vickers hardness measurements were also conducted on 138 samples to evaluate the hardness distribution across the base metal, fusion zone, and heat-affected zone. Results show that the fusion zone exhibits the highest hardness, correlating with enhanced tensile strength (R2 = 82%). Linear regression models indicate that base metal hardness significantly influences yield strength (R2 = 71%), while moderate negative correlations exist with elongation (R2 = 54%). These findings suggest that hardness measurements can serve as a non-destructive predictive tool for tensile properties, improving weld quality and mechanical performance. This research provides empirical models that enhance the application of API X70 in critical engineering applications, improving pipeline safety and reliability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  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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        Value: 10.3390/ma18194482
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 4482
    Subjects:
      – SubjectFull: Hardness
        Type: general
      – SubjectFull: Vickers hardness
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Tensile strength
        Type: general
      – SubjectFull: Low alloy steel
        Type: general
      – SubjectFull: Submerged arc welding
        Type: general
      – SubjectFull: Pipeline safety measures
        Type: general
      – SubjectFull: Mechanical behavior of materials
        Type: general
    Titles:
      – TitleFull: Predictive Correlation Between Hardness and Tensile Properties of Submerged Arc Welded API X70 Steel.
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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