Long-term creep strength predictions from short-term creep test data for high Cr creep-resistant steels and microstructural evolution origin of over-predictions

2018 ◽  
Vol 36 (4) ◽  
pp. 304-313 ◽  
Author(s):  
J. Gao ◽  
P. C. Yi ◽  
X. L. Song ◽  
J. Jia ◽  
Z. D. Xiang
2004 ◽  
Vol 19 (3) ◽  
pp. 313-319 ◽  
Author(s):  
S. D. Lim ◽  
J. M. Rhee ◽  
C. Nah ◽  
S.-H. Lee ◽  
M.-Y. Lyu

2006 ◽  
Vol 519-521 ◽  
pp. 1041-1046 ◽  
Author(s):  
Brian Wilshire ◽  
H. Burt ◽  
N.P. Lavery

The standard power law approaches widely used to describe creep and creep fracture behavior have not led to theories capable of predicting long-term data. Similarly, traditional parametric methods for property rationalization also have limited predictive capabilities. In contrast, quantifying the shapes of short-term creep curves using the q methodology introduces several physically-meaningful procedures for creep data rationalization and prediction, which allow straightforward estimation of the 100,000 hour stress rupture values for the aluminum alloy, 2124.


2012 ◽  
Vol 73 ◽  
pp. 144-152 ◽  
Author(s):  
Shengzhi Li ◽  
Zumrat Eliniyaz ◽  
Lanting Zhang ◽  
Feng Sun ◽  
Yinzhong Shen ◽  
...  

2018 ◽  
Vol 25 (3) ◽  
pp. 713-722 ◽  
Author(s):  
Seen Chan Kim ◽  
Jae-Hyeok Shim ◽  
Woo-Sang Jung ◽  
Yoon Suk Choi

Author(s):  
Hideo Hiraguchi

Abstract Recently the Discrete Cosine Transform[1], [2], [3] which is a modified Fourier Transform has begun to be used to express coefficients of creep equations using the power law or the exponential law such as Bailey-Norton law[4], [5] and θ Projection[6], [7], [8], [9], [10]. In addition, the Discrete Cosine Transform has begun to be used to express a creep equation itself. We have already found that the Discrete Cosine Transform can express the temperature and stress dependence property of the coefficients of the creep equations at the same time by the two-dimensional Discrete Cosine Transform using 8 × 8 discrete signals[11]. Furthermore, we have already found that the Discrete Cosine Transform can fit measured creep strain values very well from the primary creep region to the tertiary creep region using 8 discrete signals and it can estimate creep strain values between the measured points by interpolation very well[12]. However it has not been known if the Discrete Cosine Transform can predict the long term creep curve by using the short term creep data yet. Therefore, as a next stage, we tried to estimate the long term creep curve from the short term creep data of gas turbine materials by extrapolation using the Discrete Cosine Transform. As a result, we were able to obtain a useful numerical analysis method by utilizing the Discrete Cosine Transform Coefficients and others as a new extrapolation method. It is found that this new numerical method would be able to predict the configuration of 150,000-hour creep curve by using 500-hour to 13,000-hour short term creep data.


2017 ◽  
Vol 270 ◽  
pp. 183-188
Author(s):  
Dagmar Jandová

Conventional (CCT) and accelerated (ACT) creep tests of a weld joint made of COST F and COST FB2 steels were carried out over a temperature range from 550 °C to 650 °C. Fracturing of the crept specimens was located in the heat affected zone (HAZ) of the F steel. Two specimens were selected after CCT and ACT for quantitative evaluation of the precipitates and compared to the weld joint in as-received conditions. Scanning and transmission electron micrographs were used to measure the precipitate size. Both methods were compared and the accuracy of the results was discussed. It was concluded that ACT can simulate the precipitation of chromium carbides and structure recovery during long term creep exposures. However, precipitation of Laves phase during CCT was not recorded after ACT. Therefore, it is difficult to use ACT in this experiment for estimating the long term creep strength.


2013 ◽  
Vol 43 (4) ◽  
pp. 164-172 ◽  
Author(s):  
Mariko Hino ◽  
Yinsheng He ◽  
Kejian Li ◽  
Jungchel Chang ◽  
Keesam Shin

Author(s):  
Mi Yang ◽  
Qiao Wang ◽  
Xin-Li Song ◽  
Juan Jia ◽  
Zhi-Dong Xiang

Sign in / Sign up

Export Citation Format

Share Document