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Thermomechanical fatigue behavior and lifetime modeling of powder metallurgy superalloy considering phase angle effect

  • Jie Shen
  • , Xiaoan Hu
  • , Dong Mi
  • , Zhengming Qian
  • , Xuefeng Teng
  • , Xing Song
  • , Yun Jiang
  • , Xiangfan Nie
  • Nanchang Hangkong University
  • AECC Hunan Aviation Powerplant Research Institute
  • Air Force Engineering University Xian

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

In the present work, the thermomechanical fatigue behavior and life prediction of PM superalloy under various mechanical strain amplitudes and phase angles are investigated. Results demonstrate that the thermomechanical fatigue life is phase angle dependent and the tensile mean temperature is the main factor affecting the TMF life of alternative phase angle. A modified energy-based life prediction model is proposed by considering the effects of phase angle and tensile mean temperature. Moreover, machine learning methods were used for life prediction, and the TMF lifetime at various phase angles was predicted by combining it with RF regression and modified energy model.

Original languageEnglish
Article number107164
JournalInternational Journal of Fatigue
Volume164
DOIs
StatePublished - Nov 2022
Externally publishedYes

Keywords

  • Lifetime model
  • Machine learning method
  • Phase angle
  • Powder metallurgy superalloy
  • Thermomechanical fatigue

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