Fatigue tests and a damage mechanics-based fatigue model on a cast Al-Si-Mg aluminum alloy with scratches

Yang, Susong; Hu, Weiping; Zhan, Zhaolin; Li, Jian; Bai, Chao; Yang, Qiang; Meng, Qingguo

doi:10.1016/j.ijfatigue.2022.107198

Cited by 13 publications

(4 citation statements)

References 52 publications

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“…CDM-based fatigue life prediction methods have been fully developed in recent years, and they are proved to have a good capability of life prediction of thermal corrosion fatigue, 202 welded joints, 203,204 notched specimens, 205 and scratched specimens. 206 CDM methods have also been applied to the life prediction of AM metals for their good ability of describing damage process.…”

Section: Cdm-based Modelsmentioning

confidence: 99%

Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling

Zhan,

He,

Tang

et al. 2023

Fatigue Fract Eng Mat Struct

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Additive manufacturing (AM) has emerged as a very promising technology for producing complex metallic components with enhanced design flexibility. However, the mechanical properties and fatigue behavior of AM metals differ significantly from conventionally manufactured materials, thereby presenting challenges in accurately predicting their fatigue life. This study provides a comprehensive overview of recent developments and future trends in fatigue life prediction of AM metals, with a particular emphasis on machine learning (ML) modeling techniques. This review recalls recent developments and achievements in fatigue characteristics of AM metals, ML‐based approaches for fatigue life prediction of AM metals, and non‐ML‐based methodologies for the same purpose. In particular, some commonly used regression and classification techniques for fatigue evaluation of AM metals are summarized and elaborated. The study intends to furnish researchers, engineers, and practitioners in the field of AM with a guidance for the accurate and efficient prediction of fatigue life in AM metal components.

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Section: Cdm-based Modelsmentioning

confidence: 99%

Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling

Zhan,

He,

Tang

et al. 2023

Fatigue Fract Eng Mat Struct

Self Cite

View full text Add to dashboard Cite

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“…The developed damage evolution model has been successfully applied to many fatigue cases with complex stress states. 25,[47][48][49] However, since the σ Ã m is equal to 0 or greater than 0, this equation cannot well describe the fatigue case with negative mean stress. Therefore, σ Ã m is modified in this study:…”

Section: Fatigue Damage Evolution Equationmentioning

confidence: 99%

“…Then,

σ_{a}^{*}

and

σ_{m}^{*}

are expressed as follows:

σ_{a}^{*} goodbreak= \frac{1}{2} σ^{*} ((), σ_{\max} goodbreak- σ_{\min}),

σ_{m}^{*} goodbreak= \frac{1}{2} σ^{*} ((), σ_{\max} goodbreak+ σ_{\min}),

where

σ_{\max}

and

σ_{\min}

are the maximum and minimum Cauchy stress in a loading cycle, respectively. The developed damage evolution model has been successfully applied to many fatigue cases with complex stress states 25,47–49 . However, since the

σ_{m}^{*}

is equal to 0 or greater than 0, this equation cannot well describe the fatigue case with negative mean stress.…”

Section: Theoretic Models and Numerical Implementationmentioning

confidence: 99%

“…The parameters in the damage evolution equation are calibrated by the fatigue data of the unimpacted specimen and notch specimen in Yang et al 39 with exactly the same material, heat treatment, and surface condition. The details of the calibration process can be referred to Yang et al 49 The parameters calibrated are summarized in Table 1.…”

Section: Theoretic Models and Numerical Implementationmentioning

confidence: 99%

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Fatigue evaluation on the effect of impact pits with various impact conditions by a CDM‐based approach

Yang,

Hu,

et al. 2023

Fatigue Fract Eng Mat Struct

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This work aims to quantitatively evaluate the influence of the impact velocity, location, and angle of a spherical foreign object on fatigue lives. A continuum damage mechanics (CDM)–based fatigue approach is proposed to evaluate the fatigue behavior. The experiments on a cast AlSi7Mg1 aluminum alloy with a low‐velocity impact pit are used to validate the proposed fatigue model. The comparison between the predicted lives with the experimental data indicates an excellent agreement. Based on the proposed model, the effects of various impact velocities, locations, and angles are investigated. It is found that the velocities have negligible influence on the fatigue life in low‐velocity impact cases once the pit depth is the same. The most dangerous impact location for 90° normal impact cases is inferred to be a distance away from the boundary surface. The 45° transverse impact close to the boundary is different from other studied oblique impacts and has a longer life than the corresponding normal impact. This study uses a feasible method to predict the effects of different impact conditions and provides useful guidance for engineering applications.

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Investigating the effects of preliminary overloading and fatigue on the mechanical strength and fractographic characteristics of CuSn7Zn4Pb7 bronze alloy fractures

Hebda,

Łagoda,

Małecka

2024

Engineering Failure Analysis

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Fatigue tests and a damage mechanics-based fatigue model on a cast Al-Si-Mg aluminum alloy with scratches

Cited by 13 publications

References 52 publications

Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling

Recent developments and future trends in fatigue life assessment of additively manufactured metals with particular emphasis on machine learning modeling

Fatigue evaluation on the effect of impact pits with various impact conditions by a CDM‐based approach

Investigating the effects of preliminary overloading and fatigue on the mechanical strength and fractographic characteristics of CuSn7Zn4Pb7 bronze alloy fractures

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