• DocumentCode
    3510595
  • Title

    Statistical thermal fatigue-creep modelling of stainless steel materials

  • Author

    He, Xiaocong

  • Author_Institution
    Fac. of Mech. & Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2009
  • fDate
    20-24 July 2009
  • Firstpage
    1049
  • Lastpage
    1052
  • Abstract
    The aim of this study is to investigate the creep fatigue behavior of stainless steel materials. In the low cycle thermal fatigue life model, Manson´s Universal Slopes equation was used as an empirical correlation which relates fatigue endurance to tensile properties. Fatigue test data were used in conjunction with different modes to establish the relationship between temperature and other parameters. Then statistical creep models were created for stainless steel materials. In order to correlate the results of short-time elevated temperature tests with long-term service performance at more moderate temperatures, different creep prediction models, namely Basquin model and Sherby-Dorn model, were studied. Comparison between the different creep prediction models were carried out for a range of stresses and temperatures. A linear damage summation method was used to establish life prediction model of stainless steels materials under fatigue creep interaction.
  • Keywords
    creep; fatigue testing; stainless steel; thermal stress cracking; Basquin model; FeCrCJk; Manson´s Universal Slopes equation; Sherby-Dorn model; fatigue endurance; stainless steel; statistical thermal fatigue-creep modelling; Building materials; Capacitive sensors; Creep; Equations; Fatigue; Predictive models; Steel; Temperature distribution; Testing; Thermal stresses; life prediction; low cycle thermal fatigue; stainless steel materials; statistical creep model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4903-3
  • Electronic_ISBN
    978-1-4244-4905-7
  • Type

    conf

  • DOI
    10.1109/ICRMS.2009.5269994
  • Filename
    5269994