The Smith-Watson-Topper parameter and fracture surface topography relationship for additively manufactured 18Ni300 steel subjected to uniaxial variable-amplitude loading

Theoretical and Applied Fracture Mechanics, Год журнала: 2024, Номер 133, С. 104607 - 104607

Опубликована: Авг. 6, 2024

In this paper, the association between Smith-Watson-Topper (SWT) parameter and fracture surface topography is studied in additively manufactured maraging steel exposed to variable-amplitude fatigue loading. The post-failure surfaces were examined using a non-contact 3D measuring system entire method. focal point on correspondence characteristics, articulate by SWT parameter, features, represented areal, volume, fractal dimension parameters. A life prediction model based factors proposed. presented expresses good compliance with test results. This can be useful for post-mortem analysis of engineering elements under loading fatigue, especially materials produced additive manufacturing (AM).

Язык: Английский

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Study on the Influence Mechanism of Surface Morphology on Wear and Thermal Fatigue Performance of Laser-Treated Bionic Brake Drum

Metals, Год журнала: 2025, Номер 15(2), С. 124 - 124

Опубликована: Янв. 26, 2025

This study explores the mechanisms underlying enhanced anti-wear and thermal fatigue performance of laser-treated bionic brake drums, aiming to extend their service life improve design quality. Bionic drums treated with laser patterns—point, stripe, grid—were tested semi-metallic, non-asbestos organic (NAO), ceramic pads. A mechanical model was developed analyze wear performance, bench tests were conducted assess patterns. Thermal examined impact cycling on drums’ behavior. The results reveal that significantly outperformed untreated ones in both resistance fatigue. Among treatments, grid pattern showed best improved by 27% for striped 38% pattern. concludes treatment effectively enhances especially pattern, offering valuable insights future drum design.

Язык: Английский

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Calculation of weld toe stresses from global numerical models: An engineering-oriented approach

Journal of Constructional Steel Research, Год журнала: 2025, Номер 228, С. 109431 - 109431

Опубликована: Фев. 26, 2025

Язык: Английский

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Improving the fatigue life of thin plates with small-spacing adjacent double holes with electromagnetic process

Engineering Fracture Mechanics, Год журнала: 2025, Номер unknown, С. 111056 - 111056

Опубликована: Март 1, 2025

Язык: Английский

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A novel LCF lifetime model for PM superalloys considering crack energy differences induced by surface underconstraint

International Journal of Fatigue, Год журнала: 2024, Номер 190, С. 108648 - 108648

Опубликована: Окт. 13, 2024

Язык: Английский

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A Novel Technique for High-Efficiency Characterization of Complex Cracks with Visual Artifacts

Applied Sciences, Год журнала: 2024, Номер 14(16), С. 7194 - 7194

Опубликована: Авг. 15, 2024

In this paper, we introduce SHSnet, an advanced deep learning model designed for the efficient end-to-end segmentation of complex cracks, including thin, tortuous, and densely distributed ones. SHSnet features a non-uniform attention mechanism, large receptive field, boundary refinement to enhance performance while maintaining computational efficiency. To further optimize model’s capability with highly imbalanced datasets, employ loss function (LP) based on focal Tversky function. shows very high performance, values 0.85, 0.83, 0.81, 0.84 precision, recall, intersection over union (IOU), F-score, respectively. It achieves 10× fewer parameters than other models in literature. Complementing also present post-processing unit (PPU), which analyzes crack morphological through fracture mechanics geometric properties. The PPU generates scanning lines accurately compute these parameters, ensuring reliable results. relative error 0.4%, 1.2%, 5.6% number, length, width, methodology was benchmarked ECC datasets as well multiple online datasets. both cases, our results confirm that consistently delivers superior efficiency across various scenarios compared methods

Язык: Английский

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Physics-informed transfer learning model for fatigue life prediction of IN718 alloy

Journal of Materials Research and Technology, Год журнала: 2024, Номер 32, С. 2767 - 2779

Опубликована: Авг. 23, 2024

Язык: Английский

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A new approach to multiaxial fatigue life prediction: A multi-dimensional multi-scale composite neural network with multi-depth

Engineering Fracture Mechanics, Год журнала: 2024, Номер unknown, С. 110501 - 110501

Опубликована: Сен. 1, 2024

Язык: Английский

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Phase-field modeling for predicting three-dimensional fatigue crack initiation and growth under laser shock peening induced residual stress

International Journal of Fatigue, Год журнала: 2024, Номер unknown, С. 108786 - 108786

Опубликована: Дек. 1, 2024

Язык: Английский

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Strain-controlled torsional fatigue and fracture of EQ56 high-strength steel

Journal of Constructional Steel Research, Год журнала: 2024, Номер 226, С. 109303 - 109303

Опубликована: Дек. 30, 2024

Язык: Английский

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