A new multiaxial fatigue model for life prediction based on energy dissipation evaluation

Feng, Ensheng; Wang, X.G.; Jiang, Chao

doi:10.1016/j.ijfatigue.2019.01.003

Cited by 54 publications

(35 citation statements)

References 46 publications

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“…These strain paths (A, B, C, D, G, and H as listed in TABLE 2) have been used to validate the generality of critical plane model developed by Arora et al 23 FIGURE 6 shows the comparison between predicted and experimental fatigue lives. It is inferred that predicted and test fatigue lives for pure axial (path A), pure torsion (path B), in-phase axial-torsion (path C), and out-of-phase axial-torsion (path D, G, and H) cycling are comparable The validity of model developed by Arora P. et al has also been checked for another class of austenitic stainless-steel material Type 316L 31 and stabilized grade Type 347 29 . The strain paths considered in studies carried out by Feng et al 31 on SS 316L are pure axial (path A), pure torsion (path B), in-phase axial-torsion (path C), and 90 out-of-phase axial-torsion (path D) straincontrolled tests with sine waveforms.…”

Section: Austenitic Stainless Steelmentioning

confidence: 87%

“…Amongst ferrous alloys category, different material grades from plain carbon steel family (mild steel 24 , SA333 Gr. 6 23,25 16MnR 23,26 , E235 27 , and E355 27 ), low-alloy steel (1Cr-Mo-V 28 and S460N 23,29 ) and austenitic stainless steel (SS304 30 , SS316L 31 and SS 347 29 ) have been considered. In nonferrous alloy category, aluminium alloys (2024T3-Al 32 , PA38-T6-Al 27 , and 7075T651-Al 33 ), titanium (pure titanium 34 and TC4 alloy 35 ), cobalt base super-alloy (Haynes 188 36 ), and nickel alloy (Inconel-718 37 ) have been used for validation.…”

Section: Scope Of the Present Workmentioning

confidence: 99%

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Validating generality of recently developed critical plane model for fatigue life assessments using multiaxial test database on seventeen different materials

Arora

Gupta

Samal

et al. 2020

Fatigue Fract Eng Mat Struct

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The present studies are aimed at validation of a newly developed critical plane model with respect to large variety of engineering materials used for different applications. This newly developed model has been recently reported by present authors. To strengthen general applicability of this model, multiaxial test database consisting of a wide variety of multiaxial loading paths have been considered. The strain paths include pure axial, pure torsion, in-phase axial-torsion, out-of-phase axial-torsion with phase shift angles varying from 30 to 180 having sine/trapezoidal/triangular strain waveforms, with/without mean axial/shear strains and asynchronous axial-torsion strain paths of different frequency ratios etc.The materials covered in present study are mainly categorized as ferrous and nonferrous alloys. In ferrous alloy category, material grades from plain carbon steel (mild steel, 16MnR, SA333 Gr. 6, E235 and E355), low-alloy steel (1Cr-Mo-V and S460 N) and austenitic stainless steel (SS304, SS316L and SS347)

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Section: Austenitic Stainless Steelmentioning

confidence: 87%

Section: Scope Of the Present Workmentioning

confidence: 99%

Validating generality of recently developed critical plane model for fatigue life assessments using multiaxial test database on seventeen different materials

Arora

Gupta

Samal

et al. 2020

Fatigue Fract Eng Mat Struct

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show abstract

“…Their values can be estimated on the basis of experimental data, mainly for uniaxial loading. Fatigue criteria, in their original form, are usually used to assess the limit state called the fatigue limit [31][32][33][34]. Therefore, the material parameters are a function of the fatigue limits from uniaxial fatigue tests.…”

Section: Introductionmentioning

confidence: 99%

Application of Life-Dependent Material Parameters to Fatigue Life Prediction under Multiaxial and Non-Zero Mean Loading

2020

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This study presents the life-dependent material parameters concept as applied to several well-known fatigue models for the purpose of life prediction under multiaxial and non-zero mean loading. The necessity of replacing the fixed material parameters with life-dependent parameters is demonstrated. The aim of the research here is verification of the life-dependent material parameters concept when applied to multiaxial fatigue loading with non-zero mean stress. The verification is performed with new experimental fatigue test results on a 7075-T651 aluminium alloy and S355 steel subjected to multiaxial cyclic bending and torsion loading under stress ratios equal to R = −0.5 and 0.0, respectively. The received results exhibit the significant effect of the non-zero mean value of shear stress on the fatigue life of S355 steel. The prediction of fatigue life was improved when using the life-dependent material parameters compared to the fixed material parameters.

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“…Jiang et al developed an EVICD (event independent cumulative damage) fatigue prediction model that takes the plastic strain energy as the major contributor to the fatigue damage [8]. Feng et al established an energy dissipation-based multiaxial fatigue model that allows the fatigue life prediction for a given strain path, and then the proposed model was verified and applied to the AISI 316L stainless steel [9]. Fan et al proposed a generalized life prediction model on the basis of the hysteresis energy and law of energy conservation for the creep-fatigue interaction [10].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Strain Fatigue Life of HRB400 Steel Based on Meso-Deformation Inhomogeneity

Jin

Zeng

et al. 2020

Materials

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The relationship between strain fatigue life and evolution of meso-deformation inhomogeneity was studied, through the cyclic process of numerical simulation of crystal plasticity compared with the fatigue test of steel hot-rolled ribbed-steel bar 400 (HRB400). The statistical characterization parameters at grain level, including the standard deviation of the dot product of longitudinal stress and strain, the product of the macro stress and the standard deviation of the longitudinal strain, and the product of the macro stress ratio and the standard deviation of the longitudinal strain, were proposed and respectively applied to measure the meso-deformation inhomogeneity of materials. These parameters take the effect of peak stress into account, distinct from the pure strain statistical parameters. The numerical results demonstrate that the low-cycle fatigue life curves of materials are predictable using the new parameters as FIPs (fatigue indicator parameters), and the predictions are more rational than by utilizing the FIPs without considering the peak stress effect.

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A new multiaxial fatigue model for life prediction based on energy dissipation evaluation

Cited by 54 publications

References 46 publications

Validating generality of recently developed critical plane model for fatigue life assessments using multiaxial test database on seventeen different materials

Validating generality of recently developed critical plane model for fatigue life assessments using multiaxial test database on seventeen different materials

Application of Life-Dependent Material Parameters to Fatigue Life Prediction under Multiaxial and Non-Zero Mean Loading

Prediction of Strain Fatigue Life of HRB400 Steel Based on Meso-Deformation Inhomogeneity

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