A Modified Walker Model Dealing with Mean Stress Effect in Fatigue Life Prediction for Aeroengine Disks

Lu, Shiqi; Su, Yunlai; Mao, Yang; Li, Yan

doi:10.1155/2018/5148278

Cited by 15 publications

(9 citation statements)

References 30 publications

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“…Notably, no damage is observed according to the Gerber criterion for R ≥ 1000 mm, likely due to fretting parameters' interplay within the contact zone. The Smith, Watson, and Topper (SWT) criterion demonstrates a conservatism of 38.8% compared to Goodman's criterion when R equals 1000 mm, consistent with various studies (Houghton, 2009;Lu et al, 2018). However, each fatigue criterion has its merits and drawbacks, and no single criterion is universally suitable.…”

Section: Prediction Of Fatigue Lifesupporting

confidence: 69%

Investigation of pad radius effects on multiaxial fretting fatigue behavior of al2024 alloy

Baltach,

Taghezout,

Chaouch

et al. 2024

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Fretting fatigue, a critical phenomenon prevalent in engineering applications, occurs at the interface of contacting surfaces under cyclic loading, presenting significant challenges. The advent of Finite Element Analysis (FEA) has transformed the investigation of fretting fatigue by offering detailed insights into stress distributions and fatigue damage mechanisms. This study delves into the impact of pad radius on the fretting fatigue behavior of Al2024 alloy using FEA, with a focus on hot spot analysis and the Smith-Watson-Topper (SWT) criterion. The analysis aims to validate numerical results against analytical findings and explore the role of pad radius in determining contact behavior, fatigue life, and hot spot locations. By incorporating "fe-safe" software, computations are streamlined, facilitating efficient comparison of different fatigue initiation criteria. The results demonstrate that variations in pad radius significantly influence fretting fatigue behavior. Larger pad radii tend to distribute stresses more uniformly across the contact interface, resulting in reduced fatigue damage and longer fatigue life compared to smaller pad radii. Hot spot analysis reveals that smaller pad radii concentrate stresses at specific regions, accelerating fatigue damage initiation. The findings contribute to a deeper understanding of fretting fatigue mechanisms, shedding light on the importance of pad radius in designing more durable engineering components. Through professional scientific methodology, this study provides valuable insights into optimizing pad design to mitigate fretting fatigue and enhance the reliability of mechanical systems.

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Section: Prediction Of Fatigue Lifesupporting

confidence: 69%

Investigation of pad radius effects on multiaxial fretting fatigue behavior of al2024 alloy

Baltach,

Taghezout,

Chaouch

et al. 2024

SEES

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show abstract

“…The proposals currently used of Smith, Goodman, Morrow, SWT, Walker, Haigh, etc. [34,35] do not represent a consistent solution, since they propose empirical solutions that guarantee, in the best case, its application referred to a specific material, while its definition for a particular number of cycles evidences its limitations.…”

Section: The Compatibility Conditions In the Derivation Of S–n And Gr...mentioning

confidence: 99%

Automatic machine learning versus human knowledge-based models, property-based models and the fatigue problem

Castillo,

Fernández Canteli,

Muñiz Calvente

2023

Phil. Trans. R. Soc. A.

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This paper is devoted to emphasizing the importance of human-based knowledge and to present the original property-based models. The main idea is that models are built in terms of equations that reproduce and guarantee their satisfaction, which leads to non-arbitrary parametric models. The methods based on data alone are not sufficient to be applied to fatigue S–N and GRV-N models: first, the required high number of results in machine learning is not attained in fatigue; second, a black box cannot supply a comprehension of the fatigue phenomenon; third, the absence of a supporting model impedes extrapolation beyond the scope of experimentation; and fourth, many other data are required to include the stress ratio, R , while robust models are already available. These models are artificial intelligence mixed models, where its main part is human-based whereas the parameter estimation is solved based on data. The fatigue problem is used to illustrate the methodology and show that its generalization is applicable to other real problems. A detailed analysis of the fatigue model properties is done to show the readers how to extend those properties to other cases. Some future lines of research are suggested, followed by some conclusions. This article is part of the theme issue ‘Physics-informed machine learning and its structural integrity applications (Part 2)’.

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“…Due to mean stress effects, a wrought 316LN stainless steel was significantly hardened, and the effect of mean-stress hardening and ratcheting strain on fatigue life was discussed in terms of strain amplitude and micro-crack initiation and propagation (Yuan et al, 2016). Considering the influence of stress ratio and maximum stress on mean stress effect, to account for mean stress effect on fatigue life of aero-engine disks, the modified Walker model was presented (Lu et al, 2018). Besides, mean stress effects on finite fatigue-life in a number of sets of experimental data for steels, aluminum alloys and one titanium alloy were studied (Dowling et al, 2009).…”

Section: Ec 386mentioning

confidence: 99%

An improved fatigue life prediction model for shock absorber cylinder with surface roughness correction

Wang

Liu

et al. 2021

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Purpose The purpose of this paper is to obtain a more accurate fatigue life of structures by introducing the surface roughness into fatigue life prediction model. Design/methodology/approach Based on the fatigue life prediction model with surface roughness correction, the shock absorber cylinder is taken as an example to verify the feasibility of the improved method. Based on the load of the shock absorber cylinder during driving, fatigue experiments are performed under longitudinal and lateral forces, respectively. Then, the fatigue life predicted by the modified model is compared with that predicted by the traditional model. Findings By comparing with the test results, considering the influence of mean stress, the Manson method is more accurate in life prediction. Then, the modified Manson-Coffin and Manson method with surface roughness is more accurate in life prediction under longitudinal force and lateral forces, respectively. This verifies the feasibility of the improved method with the surface roughness. Originality/value The research on the influence of surface roughness on fatigue life can lay the technical foundation for the life prediction of products and have great significance to the quality evaluation of products.

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A Modified Walker Model Dealing with Mean Stress Effect in Fatigue Life Prediction for Aeroengine Disks

Cited by 15 publications

References 30 publications

Investigation of pad radius effects on multiaxial fretting fatigue behavior of al2024 alloy

Investigation of pad radius effects on multiaxial fretting fatigue behavior of al2024 alloy

Automatic machine learning versus human knowledge-based models, property-based models and the fatigue problem

An improved fatigue life prediction model for shock absorber cylinder with surface roughness correction

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