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The interpretable descriptors for fatigue performance of wrought aluminum alloys

Journal of Materials Research and Technology, ISSN: 2238-7854, Vol: 32, Page: 3423-3431
2024
  • 2
    Citations
  • 0
    Usage
  • 15
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    2
    • Citation Indexes
      2
  • Captures
    15
  • Mentions
    1
    • News Mentions
      1
      • 1

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Findings from University of Science and Technology Beijing Broaden Understanding of Materials Research (The interpretable descriptors for fatigue performance of wrought aluminum alloys)

2024 SEP 17 (NewsRx) -- By a News Reporter-Staff News Editor at Tech Daily News -- Investigators publish new report on materials research. According to

Article Description

Aluminum alloys are extensively utilized in the transportation and aerospace industries due to their excellent processability and corrosion resistance. A key aspect affecting the application of aluminum alloys is fatigue failure, with fatigue strength constituting an essential indicator for assessing the failure mode. In this study, 859 data sets were collected to evaluate the effects of aluminum alloy composition and mechanical properties on fatigue strength. To comprehensively evaluate the features that exert a great influence on the fatigue strength of wrought aluminum alloys, atomic physical quantities of aluminum alloys were added to the original data set. To improve the computational efficiency and physical interpretability of the model, Spearman correlation analysis, optimal subset method, and other methods were used to perform feature selection on the atomic feature quantities and mechanical properties in the data set. Finally, a mathematical relationship between material descriptors and fatigue strength was established based on the alloy composition and the three most relevant features in the feature screening, which helps to better understand and predict the fatigue behavior of wrought aluminum alloys.

Bibliographic Details

Penghui Bai; Chunlei Shang; Dexin Zhu; Haitao Zhao; Yufan Liu; Jianlong Kuang; Fengfan Li; Jiahao Ji; Shuize Wang; Guilin Wu; Junheng Gao; Chaolei Zhang; Hong-Hui Wu

Elsevier BV

Materials Science

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