Creep-fatigue life prediction using simple high-temperature low-cycle fatigue testing machines

Endō, Takeshi; Sakon, Toshio

doi:10.1179/030716984803274305

Cited by 15 publications

(5 citation statements)

References 3 publications

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“…Most of predicted lives are shorter than the observed lives and are too conservative for smaller strain range. Creep-fatigue lives were predicted by the NLDA using Eqn (3). The transition strain rates e tr between D dc and D gb were determined from the creep deformation mechanism maps as shown in Figure 3.…”

Section: Comparison Of Life Prediction Results By Different Methodsmentioning

confidence: 99%

“…Presently a time fraction linear damage rule (TFR) is widely used to calculate the creep-fatigue damage because of its simplicity and the code formalization. However, life prediction results for creep-fatigue tests by the TFR were not conservative for Type 304 stainless steels [3,4] and too conservative for a Mod.9Cr -1Mo steel [11]. Therefore some modifications need to be made, when using the TFR, depending on steels.…”

Section: Introductionmentioning

confidence: 98%

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Creep-fatigue damage and life prediction of alloy steels

Ogata¹

2010

Materials at High Temperatures

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Establishment of a creep-fatigue life prediction method is important for assessment of the remaining life of high temperature components. Creep-fatigue tests with strain hold duration including 100 hours per cycle have been carried out on high-temperature component materials in CRIEPI. The relationship between creep-fatigue life property and damage evolution during strain hold is discussed. It is suggested that creep damage during stress relaxation should be divided into the matrix creep damage and the grain boundary creep damage from the comparison between the experimental results and the creep deformation mechanism map. A nonlinear damage accumulation model (NLDA) is proposed based on experimental results and theoretical considerations. Creep-fatigue lives of high-temperature materials are predicted with high accuracy using the NLDA model.

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Section: Comparison Of Life Prediction Results By Different Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Creep-fatigue damage and life prediction of alloy steels

Ogata¹

2010

Materials at High Temperatures

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“…This was acknowledged in Rezgui's work [18] where relaxation with EFU in the hysteresis loop was compared with true relaxation under constant total strain conditions. Finally, tests on CrMoV steel (500 C) and 304 steels (600 C) were carried out by Endo and Sakon [19] on specimens of 8 mm diameter, 40 mm gauge length and transition radii of 15 mm. Simplified machines where utilized whereby EFU was deliberately induced in long-term tests, an extensometer with quartz knife edges monitoring the strains.…”

Section: Early Tests With Elastic Follow Up (Efu)mentioning

confidence: 99%

Direct and indirect strain measurement during low cycle fatigue of metals at elevated temperature

Skelton¹

2011

Materials at High Temperatures

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Current testing practices in low cycle fatigue (LCF) determinations at elevated temperature recommend the use of side-contacting extensometers or other direct methods for the measurement of strain. In many cases (e.g., when an environmental chamber surrounds the test specimen) this is not possible and resort must be had to indirect methods, which require a correction factor depending on the cyclic stress -strain response of the material. By mounting direct and indirect extensometers on the specimen and grip assembly of the testing machine, direct comparisons were made on the output strain signals during LCF tests on alloys 316, Nimonic 90 and IN718 at temperatures in the range 600 -900 C. Agreement for plastic strain range was in general good, the remote method however requiring an independent value of the elastic modulus for determination of total strain range. Typical uncertainties in these values are discussed. All comparisons were made under continuous cycling conditions and a correction factor for use under creep-fatigue conditions is suggested.

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“…Tensile and compressive hold time(t h +c h ): 5+5 and 30 +30 min. Under the above conditions, creep-fatigue life (N f ) was obtained experimentally and at N f /2 point following the previously reported study [13], plastic strain range (Δε p ) and maximum tensile stress (σ t ) were determined.…”

Section: Creep-fatigue Testmentioning

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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Creep-fatigue life prediction using simple high-temperature low-cycle fatigue testing machines

Cited by 15 publications

References 3 publications

Creep-fatigue damage and life prediction of alloy steels

Creep-fatigue damage and life prediction of alloy steels

Direct and indirect strain measurement during low cycle fatigue of metals at elevated temperature

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

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