Fatigue life prediction of TC17 titanium alloy based on micro scratch

Ding, Mingchao; Zhang, Y.L.; Lu, Huitian

doi:10.1016/j.ijfatigue.2020.105793

Cited by 21 publications

(15 citation statements)

References 35 publications

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“…The accuracy of √ areain conditional fatigue strength prediction was checked by FV520B-I, Ti-6Al-4V and EA4T steel using Equation 4. 16,18 Prediction error is lower than 10%.…”

Section: Discussionmentioning

confidence: 85%

“…Specific measurement methods and precautions are listed in Ref. [ 18 ]. Loading frequency shows no effect on fatigue life of TC17 at R = -1, 0.1, 0.5 and 0.7.…”

Section: Figure 1 Specimenmentioning

confidence: 99%

“…Using actual scratch depth and width of micro scratch of EA4T steel from Xu 17 , prediction error is also lower than 10%. 18 For the scratch with a depth from 10-45μm, the error can be lower than 5%.…”

mentioning

confidence: 98%

“…Its rationality and validity of √ area in fatigue life prediction was checked by fracture mechanics. 18 A fine prediction result was obtained under the combination of Paris law and √ area.…”

mentioning

confidence: 99%

“…Detailed discussion about √ area can be found in Ref. [ 18 ]. √ area only take depth and width of micro scratch as fatigue damage control factors.…”

mentioning

confidence: 99%

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On the use of the √area△ and the three-parameter power function to estimate fatigue life of TC17 titanium alloy

Ding

Zhang

2020

Preprint

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This paper examined the ability of [?]area u singthematerialf atigue−lif ecurvesinestimatinghigh−cyclef atiguelif econsideringmicroscratch.U ltra parameterpowerf unction.Reasonableagreementsareobservedbetweenthemodelpredictionsandtheexperimentalvalues.W hatismore, accordingtoth NOMENCLATURE σ t ultimate tensile strength σ s yield stress E Young's modulus HV Vickers hardness m , c material parameter W i width of scratch i D i depth of scratch i R fatigue loading stress ratio √ area fatigue damage parameter for micro scratch σ w fatigue strength σ w, conditional fatigue strength for micro scratch a 0 initial defect size da dN fatigue crack growth rate N f experimental fatigue life N P predicted fatigue life

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“…The accuracy of √ areain conditional fatigue strength prediction was checked by FV520B-I, Ti-6Al-4V and EA4T steel using Equation 4. 16,18 Prediction error is lower than 10%.…”

Section: Discussionmentioning

confidence: 85%

“…Specific measurement methods and precautions are listed in Ref. [ 18 ]. Loading frequency shows no effect on fatigue life of TC17 at R = -1, 0.1, 0.5 and 0.7.…”

Section: Figure 1 Specimenmentioning

confidence: 99%

mentioning

confidence: 98%

mentioning

confidence: 99%

“…Detailed discussion about √ area can be found in Ref. [ 18 ]. √ area only take depth and width of micro scratch as fatigue damage control factors.…”

mentioning

confidence: 99%

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On the use of the √area△ and the three-parameter power function to estimate fatigue life of TC17 titanium alloy

Ding

Zhang

2020

Preprint

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Microcellular Ethylene–Vinyl Acetate Copolymer Foam: Life Prediction Under Reciprocating Compression

et al. 2021

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The fatigue law of ethylene–vinyl acetate copolymer (EVA) foam has investigated through its fatigue characteristics of reciprocating compression, to construct its fatigue life prediction model. EVA foam samples are prepared by supercritical fluid foaming method. The MTS‐831 material testing machine is used to perform a reciprocating compression fatigue test with a constant load of 100 000 cycles. The constructed fatigue life prediction model is based on the relationship between the average modulus and the strain. The parameters of the model are determined by the results of reciprocating compression testing. This model can predict the fatigue results after 100 000 cycles of reciprocating compression with the results of 1000th cycle. The results suggest that the plastic deformation increases with the increase of cycles, the average modulus increases with the increase of gel content, and the relationship between stress and strain is nonlinear. Error analysis and model verification confirms that the predicted value is consistent with the experimental results, and the model predicted results are accurate and credible.

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Mechanical Behaviors and Failure Analysis of S38C Steel with Gradient Structure Fabricated by Induction Heating and Quenching

Li,

Zeng,

Jiang

et al. 2023

steel research int.

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This paper proposed a simple and fast method of induction heating and quenching to produce surface gradient structure for S38C steel, and its mechanical behavior and strengthening mechanism have been revealed. The variation of the gradient structure from surface to interior was characterized by electron backscatter diffraction, and the tensile behavior of the gradient structure at different depths has been acknowledged by the small‐scale tensile tests. The gradient structure was tempered martensite microstructure, which significantly improved the hardness and tensile strength of surface and subsurface regions. Accordingly, with the strengthening of the gradient structure, the general tensile strength and fatigue behavior of the S38C steel were increased close to those of high‐strength steel. Moreover, the fatigue crack initiation mechanism of the gradient structure was studied by energy dispersive spectroscopy, transmission Kikuchi diffraction and transmission electron microscope characterization on the crack initiation regions. It revealed that the fatigue failure of the gradient structure could be due to stress concentration in surface and around subsurface inclusions, and the crack initiation modes presented surface crack initiation and internal crack initiation, respectively.This article is protected by copyright. All rights reserved.

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Fatigue life prediction of TC17 titanium alloy based on micro scratch

Cited by 21 publications

References 35 publications

On the use of the √area△ and the three-parameter power function to estimate fatigue life of TC17 titanium alloy

On the use of the √area△ and the three-parameter power function to estimate fatigue life of TC17 titanium alloy

Microcellular Ethylene–Vinyl Acetate Copolymer Foam: Life Prediction Under Reciprocating Compression

Mechanical Behaviors and Failure Analysis of S38C Steel with Gradient Structure Fabricated by Induction Heating and Quenching

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