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<p>GH4169 is a widely employed alloy for turbine disks in aircraft engines, exhibiting susceptibility to creep deformation under prolonged high-temperature and high-stress conditions. Owing to the complex geometric features of turbine disks, their creep response deviates significantly from that of smooth specimens, necessitating the development of a multiaxial creep life prediction model. In this study, multiaxial creep tests were performed on notched round bar specimens, followed by microscopic examination of fracture surfaces. Based on these experimental observations, a continuum damage mechanics (CDM) model was formulated to capture creep void growth, microcrack initiation, and secondary particle coarsening. The model was implemented into a finite element subroutine utilizing the skeletal point stress method. Comparative predictions using different models reveal that the proposed approach reduces the relative error from 41.3 pct (time-hardening model) and 38.46 pct (Liu–Murakami model) to 12.73 and 12.4 pct, respectively, demonstrating a substantial enhancement in predictive accuracy.</p>

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A Multiaxial Creep Life Model and Validation Based on the Skeletal Point Stress Method

  • 期刊论文

  • 发表日期：

    2025年10月7日

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  • Xuming Niu,
  • Weicheng Zeng,
  • Chenchen Wang,
  • Zhigang Sun,
  • Yingdong Song

摘要

GH4169 is a widely employed alloy for turbine disks in aircraft engines, exhibiting susceptibility to creep deformation under prolonged high-temperature and high-stress conditions. Owing to the complex geometric features of turbine disks, their creep response deviates significantly from that of smooth specimens, necessitating the development of a multiaxial creep life prediction model. In this study, multiaxial creep tests were performed on notched round bar specimens, followed by microscopic examination of fracture surfaces. Based on these experimental observations, a continuum damage mechanics (CDM) model was formulated to capture creep void growth, microcrack initiation, and secondary particle coarsening. The model was implemented into a finite element subroutine utilizing the skeletal point stress method. Comparative predictions using different models reveal that the proposed approach reduces the relative error from 41.3 pct (time-hardening model) and 38.46 pct (Liu–Murakami model) to 12.73 and 12.4 pct, respectively, demonstrating a substantial enhancement in predictive accuracy.