Investigation of bending fatigue-life of aluminum sheets based on rolling direction

Sakin, Raif

doi:10.1016/j.aej.2016.11.005

Cited by 25 publications

(9 citation statements)

References 26 publications

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“…This observation refers firstly to AISI 304 steel whose numerically determined Se value of 103 MPa is perfectly fitting the span of experimental values (95-111 MPa) that can be found in literature [31][32][33]. A relatively good agreement, however with a slight underestimation, was achieved for the aluminum alloy AA 1050 (8 versus 10-14 MPa [36]). An exception is the value determined for the steel AISI 1141 of 76 MPa, which is considerably lower than the experimental counterpart (155 MPa [9]).…”

Section: Figuresupporting

confidence: 72%

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Simulation-based Understanding of the Critical Resolved Shear Stress Relevance for the Fatigue Performance of Metallic Materials

Mlikota¹,

Schmauder²

2020

Preprint

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The paper introduces a valuable new description of fatigue strength in relation to material properties and thus a new perspective on the overall understanding of the fatigue process. Namely, a relation between the endurance limits and the accompanying values of the critical resolved shear stress (CRSS) for various metallic materials has been discovered by means of a multiscale approach for fatigue simulation. Based on the uniqueness of the relation, there is a strong indication that it is feasible to relate the endurance limit to the CRSS, and not to the ultimate strength as often done in the past.

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Section: Figuresupporting

confidence: 72%

“…Moreover, Table 2 and Figure 4 can now be revised with the new results for the steel AISI 1141 and for Fe 99.9% in Table 3 and Figure 5. [36] It is important to note that no matter correct (i.e. validated by a correct resulting Se value of an investigated existing material) or incorrect CRSS value, there is always a linear relation (see eq.…”

Section: Resultsmentioning

confidence: 99%

Simulation-based Understanding of the Critical Resolved Shear Stress Relevance for the Fatigue Performance of Metallic Materials

Mlikota¹,

Schmauder²

2020

Preprint

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“…The value determined numerically for AISI 304 is fitting the span of experimental values that can be found in literature, too [63][64][65]. A relatively good agreement, however with a slight overestimation, has been achieved for aluminum 1050A (18 MPa vs. 10-14 MPa [66]). Reliable experimental data for Fe 99.9% could not be found.…”

supporting

confidence: 54%

On the Critical Resolved Shear Stress and Its Importance in the Fatigue Performance of Steels and Other Metals with Different Crystallographic Structures

Mlikota

Schmauder

2018

Metals

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This study deals with the numerical estimation of the fatigue life represented in the form of strength-life (S-N, or Wöhler) curves of metals with different crystallographic structures, namely body-centered cubic (BCC) and face-centered cubic (FCC). Their life curves are determined by analyzing the initiation of a short crack under the influence of microstructure and subsequent growth of the long crack, respectively. Micro-models containing microstructures of the materials are set up by using the finite element method (FEM) and are applied in combination with the Tanaka-Mura (TM) equation in order to estimate the number of cycles required for the crack initiation. The long crack growth analysis is conducted using the Paris law. The study shows that the crystallographic structure is not the predominant factor that determines the shape and position of the fatigue life curve in the S-N diagram, but it is rather the material parameter known as the critical resolved shear stress (CRSS). Even though it is an FCC material, the investigated austenitic stainless steel AISI 304 shows an untypically high fatigue limit (208 MPa), which is higher than the fatigue limit of the BCC vanadium-based micro-alloyed forging steel AISI 1141 (152 MPa).

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“…The rapid development of computer and information technologies, as well as information processing systems and artificial intelligence, leads to their increasing involvement in various fields of science and technology. In particular, image processing and pattern recognition methods are widely used in non-destructive testing and technical diagnostics [1][2][3]. They are especially used in radiography, for coating condition monitoring on structural elements of important structures and for rust detection [4][5][6], for condition monitoring and the diagnostics of complex mechanisms [7], followed by quantitative fractography and metallography and so forth [8].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Fatigue Crack Growth Rate in Heat-Resistant Steel by Processing of Digital Images of Fracture Surfaces

Maruschak

Vorobel

Student

et al. 2021

Metals

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The micro- and macroscopic fatigue crack growth (FCG) rates of a wide class of structural materials were analyzed and it was concluded that both rates coincide either during high-temperature tests or at high stress intensity factor (SIF) values. Their coincidence requires a high level of cyclic deformation of the metal along the entire crack front as a necessary condition for the formation of fatigue striations (FS). Based on the analysis of digital fractographic images of the fatigue fracture surfaces, a method for the quantitative assessment of the spacing of FS has been developed. The method includes the detection of FS by binarization of the image based on the principle of local minima, rotation of the highlighted fragments of the image using the Hough transform, and the calculation of the distances between continuous lines. The method was tested on 34KhN3M steel in the initial state and after long-term operation (~3 × 105 h) in the rotor disk of a steam turbine at a thermal power plant (TPP). Good agreement was confirmed between FCG rates (both macro and microscopic, determined manually or using digital imaging techniques) at high SIF ranges and their noticeable discrepancy at low SIF ranges. Possible reasons for the discrepancy between the micro- and macroscopic FCG rates at low values of the SIF are analyzed. It has also been noted that FS is easier to detect on the fracture surface of degraded steel. Hydrogen embrittlement of steel during operation promotes secondary cracking along the FS, making them easier to detect and quantify. It is shown that the invariable value of the microscopic FCG rate at a low SIF range in the operated steel is lower than observable for the steel in the initial state. Secondary cracking of the operated steel may have contributed to the formation of a typical FS pattern along the entire crack front at a lower FCG rate than in unoperated steel.

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Investigation of bending fatigue-life of aluminum sheets based on rolling direction

Cited by 25 publications

References 26 publications

Simulation-based Understanding of the Critical Resolved Shear Stress Relevance for the Fatigue Performance of Metallic Materials

Simulation-based Understanding of the Critical Resolved Shear Stress Relevance for the Fatigue Performance of Metallic Materials

On the Critical Resolved Shear Stress and Its Importance in the Fatigue Performance of Steels and Other Metals with Different Crystallographic Structures

Estimation of Fatigue Crack Growth Rate in Heat-Resistant Steel by Processing of Digital Images of Fracture Surfaces

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