Energy density zone model and fatigue life prediction considering microscopic effects

Zhang, J R; Fan, Lifeng; Tang, Xue-song

doi:10.1111/ffe.12490

Cited by 2 publications

(3 citation statements)

References 36 publications

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“…With the in-depth study of energy dissipation, scholars began to apply it to the fatigue life prediction (Amaral et al, 2017;Braccesi et al, 2018;Zhang et al, 2016). presented a method to analyze the fatigue crack growth rate by characterizing the dissipation process, and established a fatigue crack growth rate model based on energy dissipation.…”

Section: Introductionmentioning

confidence: 99%

Prediction and evaluation of fatigue life via modified energy method considering surface processing

Wang

Liu

Chen³

et al. 2021

International Journal of Damage Mechanics

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To predict fatigue life more accurately, we consider the relationship between static toughness and fatigue toughness in fatigue failure process, the numerical model of total dissipated plastic strain energy (TDPSE) and fatigue life is established. And considering the effect of surface roughness and surface processing coefficient on fatigue life, the life prediction method of TDPSE is modified. In addition, the fatigue life of Non-Masing and Masing materials are predicted by TDPSE and modified TDPSE method, respectively. Compared with TDPSE method, the life estimated by the modified TDPSE method are closer to the test results, and the modified TDPSE method lays a technical foundation for the development of mechanical components.

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Section: Introductionmentioning

confidence: 99%

Prediction and evaluation of fatigue life via modified energy method considering surface processing

Wang

Liu

Chen³

et al. 2021

International Journal of Damage Mechanics

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“…Material failure is a typical multiscale problem [13,14] because the failure first triggers from an initial microdefect zone and finally comes to the final break that passes two different scales from microscale to macroscale. In recent years, an energy density zone model has been developed to depict the scale transitional characteristics in a failure process [15][16][17][18][19][20][21][22][23][24] and has been successfully applied to the simulation of fatigue failure problems [25][26][27][28]. Initially, the model is called the restraining stress zone (RSZ) model.…”

Section: Introductionmentioning

confidence: 99%

“…In this way, the NENH effects can be taken into account in the EDZ model. e previous work is for the fatigue failure problems [25][26][27][28]. is work focuses on the fracture problem of gray cast iron materials under static loads.…”

Section: Introductionmentioning

confidence: 99%

Influence of Microscopic Effects on the Static Tensile Strength of Gray Cast Iron HT200 Specimens

Fan¹,

Hu²,

Tang

et al. 2021

Advances in Materials Science and Engineering

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Gray cast iron HT200 material is a kind of pearlitic gray cast iron. Flake graphite in the gray cast iron greatly destroys the integrity of the matrix and affect the static strength. The influence of microscopic effects on the tensile static strength of gray cast iron HT200 specimens is investigated. The microstructures are observed by the scanning electron microscope. The failure tests are done under the static loads for the cylinder specimens of gray cast iron HT200. Then, an energy density zone (EDZ) model is applied to the simulation of the fracture process of the specimens. The energy density zone model is a macro/micro-trans-scale crack growth model that can depict a fracture process from an initial microdefect at the microscale to the final break at the macroscale. Three scale transitional functions as well as the size of the initial microdefect in the model represent the microscopic effects in a fracture process. Three scale transitional functions are speculated in view of the physical failure mechanisms. Two other material parameters in the model are determined from the test data. Thereby, the fracture process of gray cast iron specimens is numerically simulated, and the static strength values are calculated. The calculated values of static strength of gray cast iron specimens are identical to the test values. It is seen that the energy density zone model can accurately describe a fracture process of brittle materials like gray cast iron. In addition, the calculated results show that the microscopic effects did affect the static strength of gray cast material.

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Energy density zone model and fatigue life prediction considering microscopic effects

Cited by 2 publications

References 36 publications

Prediction and evaluation of fatigue life via modified energy method considering surface processing

Prediction and evaluation of fatigue life via modified energy method considering surface processing

Influence of Microscopic Effects on the Static Tensile Strength of Gray Cast Iron HT200 Specimens

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