Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

Statistical thermal fatigue-creep modeling of 316 stainless steel materials

Xiaocong He*, Gongyu Li and Yanfang Ding
Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, 650093, P. R. China.
Email: [email protected], [email protected]

  •  Accepted: 06 May 2011
  •  Published: 19 September 2011


The main goal of this study is to investigate the creep fatigue behavior of 316 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. Statistical creep models were created for 316 stainless steel materials. In order to correlate the results of shout-time elevated temperature tests with long-term service performance at more moderate temperatures, different creep prediction models, namely Basquin model, Sherby-Dorn model and Manson-Haferd 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 316 stainless steels materials under fatigue creep interaction.


Key words: Stainless steel materials, low cycle thermal fatigue, statistical creep model.