Influence of artificial defects on fatigue strength of induction hardened S38C axles

Gao, Jie-Wei; Pan, Xiangnan; Han, Je-Chin; Zhu, Shun‐Peng; Liao, Ding; Li, Ya-Bo; Dai, Guangze

doi:10.1016/j.ijfatigue.2020.105746

Cited by 27 publications

(6 citation statements)

References 34 publications

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“…Comprehensive studies have been done by resear chers about the fatigue behaviour of specimens containing artificial defects of different characteristics such as sizes, area percent and so on. It is quite proven that the effective size, distance from surface and quantity (as defined by their area percent) of inclusions affect the fatigue behaviour of steels [40][41][42]. There is an inverse relationship between fatigue life with area percent and effective size of inclusions within a given cross-sectional area [43,44].…”

Section: Fractographic Observationsmentioning

confidence: 99%

Effect of spherical inclusions on fatigue anisotropy of HSLA-100 steel

Abyazi

Ebrahimi

2021

Materials Science and Technology

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The fatigue limit of the transverse direction was obtained remarkably (125 MPa) lower than that of the longitudinal direction. The fatigue anisotropy was related to different characteristics of inclusions on longitudinal and transverse planes as well as the crystallographic texture. These parameters change the fatigue crack initiation mode from the metal matrix to spherical inclusions. Exaggeratedly conservative results were obtained utilising the Murakami's model in predicting the lower bound fatigue limit and largest size of inclusion.

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Section: Fractographic Observationsmentioning

confidence: 99%

Effect of spherical inclusions on fatigue anisotropy of HSLA-100 steel

Abyazi

Ebrahimi

2021

Materials Science and Technology

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“…Guagliano and Vergani [17] conducted experiments and numerical analysis on the sub-surface cracks in railway wheels. Gao et al [18] studied the effect of artificial defects on the fatigue strength of an induction hardened S38C axle and showed that the influence of shallower impact damage (smaller than 200 µm) on fatigue strength was negligible. Luke et al [19] made conclusions on some important aspects and results related to the application of the fracture mechanics approach to the prediction of inspection intervals of railway axles under in-service conditions.…”

Section: Introductionmentioning

confidence: 99%

Size and Shape Effects on Fatigue Behavior of G20Mn5QT Steel from Axle Box Bodies in High-Speed Trains

Zhang

et al. 2022

Metals

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In this paper, the axial loading fatigue tests are at first conducted on specimens ofG20Mn5QT steel from axle box bodies in high-speed trains. Then, the size and shape effects on fatigue behavior are investigated. It is shown that the specimen size and shape have an influence on the fatigue performance of G20Mn5QT steel. The fatigue strength of the hourglass specimen is higher than that of the dogbone specimen due to its relatively smaller highly stressed region. Scanning electron microscope observation of the fracture surface and energy dispersive X-ray spectroscopy indicate that the specimen size and shape have no influence on the fatigue crack initiation mechanism. Fatigue cracks initiate from the surface or subsurface of the specimen, and some fracture surfaces present the characteristic of multi-site crack initiation. Most of the fatigue cracks initiate from the pore defects and alumina inclusions in the casting process, in which the pore defects are the main crack origins. The results also indicate that the probabilistic control volume method could be used for correlating the effects of specimen size and shape o the fatigue performance of G20Mn5QT steel for axle box bodies in high-speed trains.

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“…Furthermore, as each specimen is tested multiple times, the experimental time taken per specimen can be higher than staircase testing. Nevertheless, these effects have not been fully characterized, and the testing strategy remains in use across the academic literature 18–37 . For these reasons, step sizes are generally advised to be above 5% of the fatigue limit 4 .…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, these effects have not been fully characterized, and the testing strategy remains in use across the academic literature. [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] For these reasons, step sizes are generally advised to be above 5% of the fatigue limit. 4 However, this requires prior knowledge of material properties and is dependent on the life being tested, as well as the continued debate over whether this is sufficient to avoid damage/coaxing.…”

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confidence: 99%

Bayesian optimized collection strategies for fatigue strength testing

Magazzeni

Rose

Gearhart

et al. 2022

Fatigue Fract Eng Mat Struct

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A statistical framework is presented enabling optimal sampling and analysis of constant life fatigue data. Protocols using Bayesian maximum entropy sampling are built based on conventional staircase and stress step methods, reducing the requirement of prior knowledge for data collection. The Bayesian Staircase method shows improved parameter estimation efficiency, and the Bayesian Stress Step method shows equal accuracy to the standard method at larger step size allowing experimentalists to lessen concerns of loading history. Statistical methods for determining model suitability are shown, highlighting the influence of protocol. Experimental validation is performed, showing the applicability of the methods in laboratory testing.

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Influence of artificial defects on fatigue strength of induction hardened S38C axles

Cited by 27 publications

References 34 publications

Effect of spherical inclusions on fatigue anisotropy of HSLA-100 steel

Effect of spherical inclusions on fatigue anisotropy of HSLA-100 steel

Size and Shape Effects on Fatigue Behavior of G20Mn5QT Steel from Axle Box Bodies in High-Speed Trains

Bayesian optimized collection strategies for fatigue strength testing

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