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Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley +1 more source
The Study on Fatigue Crack Growth Rate of 4130X Material under Different Hydrogen Corrosion Conditions. [PDF]
Jiang S, Wang J, Zhao B, Zhang E.
europepmc +1 more source
Quasi-In Situ Observation of the Microstructural Response during Fatigue Crack Growth of Friction Stir Welded AA2024-T4 Joint. [PDF]
Yang J, Chen X, Zhao H, Dong J, Jin F.
europepmc +1 more source
Fatigue Crack Growth Rates and Crack Tip Opening Loads in CT Specimens Made of SDSS and Manufactured Using WAAM. [PDF]
Sales A +4 more
europepmc +1 more source
Effect of Residual Stress and Microstructure on the Fatigue Crack Growth Behavior of Aluminum Friction Stir Welded Joints. [PDF]
Guo Y, Li P.
europepmc +1 more source
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A review of fatigue crack growth resistance in the short crack growth regime
Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing, 2019Abstract The resistance to the short-crack growth and the observed threshold behavior of short cracks are examined using the Unified Approach that is based on the two-parametric nature of fatigue. The fatigue crack growth is characterized by the two parameters, K max and Δ K .
Kuntimaddi Sadananda +2 more
exaly +3 more sources
Crack growth of physically small cracks
International Journal of Fatigue, 2007This paper shows how, for physically small cracks, the unified crack growth model, also referred to as Unigrow, can be related to the generalized Frost and Dugdale crack growth model. We also show how this formulation can be used to predict the crack growth history of a range of experimental tests.
Loris Molent, Rhys Jones, S Pitt
exaly +2 more sources
Prediction of fatigue–crack growth with neural network-based increment learning scheme
Engineering Fracture Mechanics, 2021An increment learning scheme based on fully-connected neural network is proposed to predict the fatigue–crack growth in middle tension, M(T), specimens of 7B04 T6 aluminum and TA15 titanium alloy under constant amplitude stress.
Xinran Ma, Xiaofan He, Z. C. Tu
semanticscholar +1 more source
, 2020
The grain size (GS) dependence of fatigue crack growth in nanocrystalline superelastic NiTi shape memory alloys (SMAs) with the average GS of 10, 30, 60 and 235 nm is investigated.
Junyu Chen, H. Yin, Qingping Sun
semanticscholar +1 more source
The grain size (GS) dependence of fatigue crack growth in nanocrystalline superelastic NiTi shape memory alloys (SMAs) with the average GS of 10, 30, 60 and 235 nm is investigated.
Junyu Chen, H. Yin, Qingping Sun
semanticscholar +1 more source

