Long-term creep-rupture strength prediction for modified 9Cr-1Mo ferritic steel and type 316L(N) austenitic stainless steel

被引:20
|
作者
Srinivasan, V. S. [1 ]
Choudhary, B. K. [1 ]
Mathew, M. D. [1 ]
Jayakumar, T. [1 ]
机构
[1] Indira Gandhi Ctr Atom Res, Mat & Met Grp, Kalpakkam 603102, Tamil Nadu, India
关键词
creep life extrapolation; Larson-Miller parameter; artificial neural network; Wilshire approach; PARAMETRIC METHODS; HIGH-TEMPERATURE; LIFE PREDICTION; NEURAL-NETWORKS;
D O I
10.3184/096034012X13269690282656
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The prediction of long-term creep-rupture strength values for mod. 9Cr-1Mo ferritic steel and 316L(N) austenitic stainless steel is made using several life prediction methodologies at 773, 823 and 873 K. Creep-rupture strength values have been predicted following the Larson-Miller parameter, the Orr-Sherby-Dorn parameter, artificial neural network, and Wilshire approaches for rupture lives up to 60 years (5.256 x 10(5)h) using creep-rupture data available in the literature. It has been demonstrated that the prediction of creep-rupture strength values using these approaches are comparable. Creep-rupture strength values have been also evaluated using linear extrapolation of average creep-rupture strength values given in French Nuclear Design Code RCC-MR for durations more than 3 x 10(5)h. Predicted creep-rupture strength values using the literature data are found to be higher than those obtained from RCC-MR for both 9Cr-1Mo steel and 316L(N) SS. This suggested that the RCC-MR data are conservative and can be safely used for a design life of 60 years.
引用
收藏
页码:41 / 48
页数:8
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