Size-effect in Very High Cycle Fatigue: A review

Tridello, Andrea; Niutta, Carlo Boursier; Berto, Filippo; Paolino, Davide Salvatore

doi:10.1016/j.ijfatigue.2021.106462

Cited by 36 publications

(15 citation statements)

References 46 publications

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“…It should be pointed out that the specimen size can also affect the fatigue test results, as it raises the likelihood of presenting more and larger microstructural defects that may lead to premature crack initiation [ 28 ]. Multiple studies have been carried out where larger specimens showed significantly lower fatigue lives than smaller ones under the same loading conditions [ 29 ].…”

Section: Methodsmentioning

confidence: 99%

An Experimental Analysis of the High-Cycle Fatigue Fracture of H13 Hot Forging Tool Steels

et al. 2022

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In this study, the axial fatigue behaviour of hot forging tool steels at room temperature was investigated. Fatigue tests were performed on two steels within the same H13 specification. The fatigue tests were carried out in the high-cycle fatigue domain under normal conditions. These tests were also performed on specimens in contact with a corrosive medium, applying stress values that led to the high-cycle fatigue domain under normal conditions for the sake of comparison. Both materials showed similar fatigue strengths when they were tested under normal conditions. In contrast, corrosion fatigue lives were much lower than in normal tests and differed significantly between the two steels. Crack initiation was triggered by microstructural and surface defects in the normal tests, whereas the formation of corrosion pits caused crack initiation in the corrosion fatigue tests. Moreover, a fracture surface analysis revealed dissimilar crack propagation areas between both steels, which suggested that both steels had different fracture toughness. These results were in line with the differences observed between the carbide and grain sizes of both of the material microstructures.

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Section: Methodsmentioning

confidence: 99%

An Experimental Analysis of the High-Cycle Fatigue Fracture of H13 Hot Forging Tool Steels

et al. 2022

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“…To reduce the computational cost, uniform pressure along y direction was applied on the quarter geometry with symmetry boundary condition along x and y directions, as shown in Figure 4. (2) In-plane bending. The bending moment under xy plane was applied on the half geometry with symmetry boundary condition along x direction.…”

Section: Fe Modeling and Data Generationmentioning

confidence: 99%

“…Compared with cracks and sharp V‐notches, blunt V‐notches and U‐notches are usually chosen as transition parts in structures because they are more effective in reducing stress concentration to achieve higher fatigue life. However, due to the fatigue size effect, 2 the fatigue life of notches is limited by notch opening angle, notch radius, and notch depth. The influence of size effect on fatigue has been evaluated through some experimental and numerical studies; for instance, critical distance theories and stress gradient were applied to predict fatigue life of samples with different depths and root radii 3–5 .…”

Section: Introductionmentioning

confidence: 99%

Data‐driven approach to design fatigue‐resistant notched structures

Wang

Gao

Berto

2022

Fatigue Fract Eng Mat Struct

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Fatigue is the most common failure mode for engineering materials in various industrial applications. Generally, designing new products and components based on typical deterministic fatigue design approaches is slow and expensive. Although numerous investigations have been carried on this topic over decades, there still lacks a robust and efficient method to design a super‐fatigue‐resistant and testless structure. In this investigation, a novel data‐driven approach based on the deep learning algorithm is applied on designing a fatigue‐resistant notched structure under different loading via numerical simulations and deep learning. The notches with various shapes are designed by employing the same material. Then finite element (FE) simulations are performed to obtain the mechanical behaviors of notched structures under different loading conditions. The deep learning algorithm is applied to predict mechanical behaviors of unknown notched structures based on input training set of simple notched geometries and relative lower computational cost. It is demonstrated that deep learning on the fatigue‐resistant structure is a promising approach of fatigue design. This work offers an alternative design strategy of fatigue‐resistant structure and cost‐effective solution to accelerate the design of engineering components under different loading conditions.

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“…19,20 Yuan et al 21 concluded that the lifetime of NBSX CMSX-4 under thermal mechanical cyclic loading is significantly affected by the temperature gradient and then proposed a modified model to consider the temperature gradient effect and the thermal-mechanical phase angle. Other factors influencing the fatigue performance of NBSX have also been experimentally and numerically studied, such as the secondary crystal orientation, [22][23][24] mean stress, 25 tension-torsion multiaxial loading, [26][27][28] size effect, 29,30 etc. Porosity size and its distribution are the key factors that affect the fatigue life of NBSXs.…”

Section: Introductionmentioning

confidence: 99%

The porosity distribution of nickel‐base single‐crystal superalloy DD5 and its fatigue life property

Susmel

Jiang³

et al. 2023

Fatigue Fract Eng Mat Struct

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The porosity of nickel-base single crystals (NBSXs) is still an unavoidable casting problem that has a significant influence on the fatigue life of NBSXs. In order to quantify the porosity effect, a porosity-distribution-related life prediction method is proposed in this paper. The porosity size in a NBSX was measured, and the size distribution was regressed. The results show that the porosity size that is characterized by Feret's diameter follows a modified logarithmic normal distribution. The relation among the applied stress, porosity size, and lifetime is expressed by using the proposed method. The disperse band of S-N curve is investigated based on the probability distribution of the porosity size. The results show that the predicted S-N curve agrees well with the experimental data.

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Size-effect in Very High Cycle Fatigue: A review

Cited by 36 publications

References 46 publications

An Experimental Analysis of the High-Cycle Fatigue Fracture of H13 Hot Forging Tool Steels

An Experimental Analysis of the High-Cycle Fatigue Fracture of H13 Hot Forging Tool Steels

Data‐driven approach to design fatigue‐resistant notched structures

The porosity distribution of nickel‐base single‐crystal superalloy DD5 and its fatigue life property

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