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A deep learning dataset for metal multiaxial fatigue life prediction. [PDF]
Sci DataMultiaxial fatigue failure of metals, a common issue in industrial production, often leads to significant losses. Recently, many researchers have applied deep learning methods to predict the multiaxial fatigue life of metals, achieving promising results.
Chen S, Bai Y, Zhou X, Yang A.
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Gaussian Process for Machine Learning-Based Fatigue Life Prediction Model under Multiaxial Stress-Strain Conditions. [PDF]
Materials (Basel), 2022 In this paper, a new method for fatigue life prediction under multiaxial stress-strain conditions is developed. The method applies machine learning with the Gaussian process for regression to build a fatigue model.
Karolczuk A, Skibicki D, Pejkowski Ł.
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Survey on Fatigue Life Prediction of BGA Solder Joints
Electronics (Switzerland), 2022 With the development of science and technology, consumers’ requirements for various electronic devices present a trend of more diverse functions and thinner bodies.
Han Wang, Nian Cai, Nian Cai
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Residual fatigue life prediction based on a novel improved Manson-Halford model considering loading interaction effect [PDF]
HeliyonThe classical nonlinear fatigue cumulative damage model Manson-Halford is widely used in fatigue life analysis and prediction, but this model lacks consideration for the effects of load interaction.
Panglun Liu +4 more
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Research on low cycle fatigue life prediction considering average strain
Materials Research Express, 2022 To address the difficult problems in the study of the effect of average strain on fatigue life under low-cycle fatigue loads, the effect of average strain on the low-cycle fatigue life of materials under different strain cycle ratios was discussed based ...
Yan Peng +3 more
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Journal of Composites Science, 2023 In this study, the research investigates the prediction of fatigue life for Functionally Graded Materials (FGM) specimens comprising Polylactic acid (PLA) and Thermoplastic Polyurethane (TPU).
Suhas Alkunte, Ismail Fidan
semanticscholar +1 more source
A machine-learning fatigue life prediction approach of additively manufactured metals
, 2021 The defects retained during laser powder bed fusion determine the poor fatigue performance and pronounced lifetime scatter of the fabricated metallic components.
Hongyixi Bao +5 more
semanticscholar +1 more source
Microstructure sensitive fatigue life prediction model for SLM fabricated Hastelloy-X [PDF]
International Journal of Fatigue, 2022 A microstructure-sensitive fatigue life prediction framework based on CP-FFT is proposed to study SLM fabricated Hastelloy-X. The microstructure enters in the model through the shape, size and orientation distributions of grains in the RVEs, which are ...
Chandrashekhar M. Pilgar +2 more
semanticscholar +1 more source
Metals, 2019 In this paper, the viewpoint that maximum resolved shear stress corresponding to the two slip systems in a nickel-based single crystal high-temperature fatigue experiment works together was put forward.
Jialiang Wang +3 more
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Journal of Engineered Fibers and Fabrics, 2023 The braiding angle of 3D braided carbon/carbon composites (C/CCs) will change during high temperature fatigue loading, which will affect the fatigue properties of 3D braided C/CCs.
Xinglin Yang +4 more
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