Correlation of substructure with time-dependent fatigue properties of aisi304 stainless steel

Ermi, A.M.; Moteff, J.

doi:10.1007/bf02644798

Cited by 49 publications

(10 citation statements)

References 15 publications

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“…tensile hold time only. This is believed to be due to either interruption or termination of cavity growth during compressive hold time, which was generated under tensile hold time [14].…”

Section: Creep-fatigue Test Resultsmentioning

confidence: 99%

A study of creep-fatigue life prediction using an artificial neural network

Kwon

Lim

2001

Met. Mater. Int.

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In this study, using AISI 316 stainless steel, creep-fatigue tests were carried out under various test conditions (different total strain ranges and hold times) to verify the applicability of the artificial neural network method to creep-fatigue life prediction. Life prediction was also made by the modified Coffin-Manson method and the modified Ostegren method using 21 data points out of a total 27 experimental data points. The six verification data points were carefully chosen for the purpose of evaluating the predictability of each method. The predicted lives were compared with the experimental results and the following conclusions were obtained within the scope of this study. While the creep-fatigue life prediction by the modified Coffin-Manson method and the modified Ostegren method had average errors of 35.8% and 47.7% respectively, the artificial neural network method had only 15.6%. As a result, the artificial neural network method with the adaptive learning rate was found to be far more accurate and effective than any of the others. The validity of the artificial neural network method for life prediction checked with the six verification data points also proved to be very satisfactory.

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“…tensile hold time only. This is believed to be due to either interruption or termination of cavity growth during compressive hold time, which was generated under tensile hold time [14].…”

Section: Creep-fatigue Test Resultsmentioning

confidence: 99%

A study of creep-fatigue life prediction using an artificial neural network

Kwon

Lim

2001

Met. Mater. Int.

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“…Fig. 6 shows the plots of the relaxed stress range against the creep-fatigue lives for AISI 304 [12,13], AISI 316 [14] and IN 625 superalloy [15]. Normalized relationships were also found for these materials regardless of hold time.…”

Section: Normalized Life Relationmentioning

confidence: 93%

“…6. Normalized life relation for various high temperature materials: (a) AISI 304 stainless steel [12]; (b) AISI 304 stainless steel [13]; (c) AISI 316 stainless steel [14]; and (d) IN 625 superalloy [15]. rial constant for given conditions.…”

Section: Physical Concept Of the Constantsmentioning

confidence: 99%

Normalized coffin-manson plot in terms of a new life function based on stress relaxation under creep-fatigue conditions

2003

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A new life prediction function based on a model formulated in terms of stress relaxation during hold time under creep-fatigue conditions is proposed. From the idea that reduction in fatigue life with hold is due to the creep effect of stress relaxation that results in additional energy dissipation in the hysteresis loop, it is suggested that the relaxed stress range may be a creep-fatigue damage function. Creep-fatigue data from the present and other investigators are used to check the validity of the proposed life prediction equation. It is shown that the data satisfy the applicability of the life relation model. Accordingly, using this life prediction model, one may realize that all the Coffin-Manson plots at various levels of hold time in strain-controlled creepfatigue tests can be normalized to make one straight line.

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“…It is reported that planar or band-like dislocation arrangements are found in low temperature fatigued materials with low stacking fault energy such as austenitic stainless steels and that cell structures of dislocations are formed by cross-slip and climb at the elevated temperature. 18,19) Cell structure of TiC aged alloy is less developed than that of Cr 23 C 6 aged alloy in Fig. 5.…”

Section: Microstructural Analysismentioning

confidence: 99%

Effects of TiC and Cr<SUB>23</SUB>C<SUB>6</SUB> Carbides on Creep-Fatigue Properties in AISI 321 Stainless Steel

2002

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In order to investigate the effects of TiC and Cr 23 C 6 carbides on creep-fatigue behaviors, total strain range controlled creep-fatigue tests of TiC and Cr 23 C 6 aged AISI 321 stainless steels with the same carbide density at the grain boundary were conducted at 600 • C. It is observed that creep-fatigue life of TiC aged alloy is longer than that of Cr 23 C 6 aged alloy in the same test conditions. To verify the origin of the difference in creep-fatigue life between the two alloys, microstructural observations are conducted by scanning electron microscope (SEM) and transmission electron microscope (TEM). It is understood to be due to the strong cavitation resistance of TiC aged alloy compared with that of Cr 23 C 6 aged alloy. It is considered that formation and growth of cavities are retarded by strong interfacial affinity between TiC and matrix.

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Correlation of substructure with time-dependent fatigue properties of aisi304 stainless steel

Cited by 49 publications

References 15 publications

A study of creep-fatigue life prediction using an artificial neural network

A study of creep-fatigue life prediction using an artificial neural network

Normalized coffin-manson plot in terms of a new life function based on stress relaxation under creep-fatigue conditions

Effects of TiC and Cr<SUB>23</SUB>C<SUB>6</SUB> Carbides on Creep-Fatigue Properties in AISI 321 Stainless Steel

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