Gear bending fatigue life prediction based on continuum damage mechanics and linear elastic fracture mechanics

Liu, Heli; Liu, Huaiju; Mura, Andrea; Zhu, Caichao

doi:10.1007/s11012-022-01622-5

Cited by 5 publications

(3 citation statements)

References 53 publications

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“…Fatigue-life prediction is vital to prevent the failure of mechanical parts that are under cyclic loadings. In the field of fatigue-life assessment, two primary methodologies are commonly used: stress-life models (or S-N curves) [1][2][3][4] and linear elastic fracture mechanics (LEFM) [5][6][7][8]. The S-N curve method relies on experimental data that models stress amplitude against the number of cycles until failure.…”

Section: Introductionmentioning

confidence: 99%

“…A probabilistic extension is provided in [13] that emphasizes the role of the equivalent initial damage size (EIDS) or, equivalently, the effective initial flaw size (EIFS) [14]. Recent works have also been developed, such as [6], which utilizes the continuum damage mechanics (CDM) theory and LEFM theory to predict the total gear bending fatigue-life, and [7], which investigates the effect of crack initiation angles and plastic zones of thin-walled cylindrical shells with cracks.…”

Section: Introductionmentioning

confidence: 99%

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Modeling Metallic Fatigue Data Using the Birnbaum–Saunders Distribution

Sawlan,

Scavino,

Tempone

2024

Metals

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This work employs the Birnbaum–Saunders distribution to model the fatigue-life of metallic materials under cyclic loading and compares it with the normal distribution. Fatigue-limit models are fitted to three datasets of unnotched specimens of 75S-T6 aluminum alloys and carbon laminate with different loading types. A new equivalent stress definition that accounts for the effect of the experiment type is proposed. The results show that the Birnbaum–Saunders distribution consistently outperforms the normal distribution in fitting the fatigue data and provides more accurate predictions of fatigue-life and survival probability.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling Metallic Fatigue Data Using the Birnbaum–Saunders Distribution

Sawlan,

Scavino,

Tempone

2024

Metals

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“…Therein, the fatigue life was predicted utilizing the power density method and fracture mechanics. He et al [30,31] predicted the gear bending fatigue life based on the continuum damage mechanics and fracture mechanics. The estimated fatigue life agreed well with experimental test.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Crack Propagation Behaviour in Thin-Rim Gears: Experimental Tests and Numerical Simulations

et al. 2023

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Thin-rim gears are widely used in industrial fields such as aerospace and electric vehicles due to the advantage of light weight. Yet, the root crack fracture failure of thin-rim gears significantly limits their application and further affects the reliability and safety of high-end equipment. In this work, the root crack propagation behavior of thin-rim gears is experimentally and numerically investigated. The crack initiation position and crack propagation path for different backup ratio gears are simulated using gear finite element (FE) models. The crack initiation position is determined using the maximum gear root stress position. An extended FE method coupled with commercial software ABAQUS is used to simulate the gear root crack propagation. The simulation results are then verified by conducting experimental tests for different backup ratio gears based on a dedicated designed single-tooth bending test device.

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