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
Link To Document :
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