Initiation and propagation of short cracks in austenitic–ferritic duplex steel

Scharnweber, M.; Tirschler, W.; Oertel, C.‐G.; Skrotzki, Werner

doi:10.1016/j.msea.2013.06.059

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…[8,9]) leads to the formation of elastic incompatibility stresses (residual stresses) in the bcc ferrite grains. Once locally the incompatibility stresses overcome the critical shear stress of the ferrite grains, crack initiation can be observed either as (i) a consequence of slip transfer across the phase boundaries, or (ii) intergranular separation of phase (α γ) and grain (α α ) boundaries due to slip steps within the boundary [10]. Therefore, during fatigue life the load sharing between the initially softer austenite phase and the harder ferrite phase changes due to strain hardening of the austenite.…”

mentioning

confidence: 99%

The behavior of short fatigue cracks during Very High Cycle (VHCF) Fatigue of duplex stainless steel

Krupp¹,

Giertler²,

Söker³

et al. 2015

Engineering Fracture Mechanics

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confidence: 99%

The behavior of short fatigue cracks during Very High Cycle (VHCF) Fatigue of duplex stainless steel

Krupp¹,

Giertler²,

Söker³

et al. 2015

Engineering Fracture Mechanics

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“…Sangid (2013) studied the importance of crack initiation in predicting the fatigue life of components. Crack initiation dominates the process of fatigue failure, which is the most important factor, as the majority of the lifetime is spent in this stage, while the fatigue crack growth exerts a small influence on the global predictions, mainly in the high-cycle fatigue regime (Correia et al, 2013;Scharnweber et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Statistical distribution for initial crack and number of loading in fatigue crack growth process

Januri

2017

Int. j. adv. appl. sci.

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A statistical distribution for crack growth technique is one of the important issues emerging from the fatigue crack propagation process. This study aims to compare three different statistical distributions for providing the best modelling of the fatigue data. The normal, the lognormal and the Weibull distribution are compared for determining a better fit for the variables. Kolmogorov-Smirnov has been chosen as the criterion of the best distribution of the variables. Ten replicate specimens of aluminium alloy A7075-T6 in constant amplitude crack tests were conducted. The number of cycles for the formation of the initial crack and initial crack length were taken as random variables. A Bootstrap approach was applied for ensuring that the chosen distribution was the best representative for this type of variables since small data was incorporated in this analysis, it was not suitable to justify the true population. Thus, the result showed that the lognormal distribution was the best distribution to represent the number of cycles and the length of the initial crack. It was found that whether the normal and lognormal types were suitable for those variables, the lognormal was more conservative for these types of variables. These two variables played the main role in life prediction. Therefore, an analysis of the statistical distribution is highly important. It is believed that these results lead to the significant prediction of fatigue lifetime.

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“…Numerous studies [1][2][3][4][5][6][7] have been carried out attempting to understand what the preferential place for the crack to initiate is and how it affects the fatigue life. But it is difficult to make a conclusive comment as crack behavior varies with material microstructure, loading conditions, volume fraction of phases, and heat treatment.…”

Section: Introductionmentioning

confidence: 99%

High Cycle Fatigue Properties of Duplex Stainless Steel in Air and 3.5% NaCl Solution

Song

et al. 2015

AMM

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The high cycle fatigue of super duplex stainless steel of SAF 2507 was investigated by rotating bending fatigue test in both air and 3.5% NaCl environment. The results showed that there is no much reduction of the fatigue life in corrosive environment, which is 90% of the air fatigue strength. In air fatigue, failure happens in ductile mode with austenite grains having finer and straighter fatigue striations than ferrite grains. Width and spacing of striations vary with the orientation and locations when the second cracking occurs. It is not reliable to identify the phase by morphology of striations. In 3.5% NaCl environment, the fracture exhibits a mixed mode of cleavage and quasi-cleavage in ferrites and ductile in austenite grains.

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Initiation and propagation of short cracks in austenitic–ferritic duplex steel

Cited by 9 publications

References 14 publications

The behavior of short fatigue cracks during Very High Cycle (VHCF) Fatigue of duplex stainless steel

The behavior of short fatigue cracks during Very High Cycle (VHCF) Fatigue of duplex stainless steel

Statistical distribution for initial crack and number of loading in fatigue crack growth process

High Cycle Fatigue Properties of Duplex Stainless Steel in Air and 3.5% NaCl Solution

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