Effects of rolling reduction and direction on fatigue crack propagation in commercially pure titanium with harmonic structure

Nakai, Yoshikazu; Kikuchi, Shoichi; Osaki, Kohei; Kawabata, Mie; Ameyama, Kei

doi:10.1016/j.ijfatigue.2020.106018

Cited by 15 publications

(5 citation statements)

References 32 publications

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“…The reduced fatigue performance is ascribed to the smaller grain size and tensile residual stress induced by cold rolling. These findings were consistent with previous results reported that the rate of fatigue crack growth of fine-grained commercially pure titanium induced by the cold rolling was higher compared to that of the coarse-grained samples due to the difference in the magnitude of crack closure of the samples [19][20][21]. The rate of fatigue crack growth of aluminum alloys is greatly influenced by grain size [15,22].…”

Section: Fatigue Crack Propagation Behaviorsupporting

confidence: 92%

Effects of cold rolling and annealing time on fatigue resistance of AA5052 aluminum alloy

2021

IJE

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Section: Fatigue Crack Propagation Behaviorsupporting

confidence: 92%

Effects of cold rolling and annealing time on fatigue resistance of AA5052 aluminum alloy

2021

IJE

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“…Speedy and unsteady fatigue crack growth takes place in Region III of the curve before fracture. A crack progression rate of the order of ≥ 10 −3 mm/cycle is ordinary in the case of metals and is asymptotic when crack growth reaches the threshold of fracture toughness (K c ) of the material [34]. This is even though it is mostly dominated by the stress ratio effect, substance micro-cracks, and the specimen width.…”

Section: Discussionmentioning

confidence: 99%

Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys

et al. 2022

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Fatigue cracks are a major defect in metal alloys, and specifically, their study poses defect evaluation challenges in aluminum aircraft alloys. Existing inline inspection tools exhibit measurement uncertainties. The physical-based methods for crack growth prediction utilize stress analysis models and the crack growth model governed by Paris’ law. These models, when utilized for long-term crack growth prediction, yield sub-optimum solutions and pose several technical limitations to the prediction problems. The metaheuristic optimization algorithms in this study have been conducted in accordance with neural networks to accurately forecast the crack growth rates in aluminum alloys. Through experimental data, the performance of the hybrid metaheuristic optimization–neural networks has been tested. A dynamic Levy flight function has been incorporated with a chimp optimization algorithm to accurately train the deep neural network. The performance of the proposed predictive model has been tested using 7055 T7511 and 6013 T651 alloys against four competing techniques. Results show the proposed predictive model achieves lower correlation error, least relative error, mean absolute error, and root mean square error values while shortening the run time by 11.28%. It is evident through experimental study and statistical analysis that the crack length and growth rates are predicted with high fidelity and very high resolution.

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“…Secondary cracks are observed on the surface in LA. In this process, the stress intensity factor range ∆K [35] of the TC4-F alloy sample in CS is high with the corresponding high crack growth rate, causing the short fatigue life and loading time, which makes cyclic plastic deformation play a dominant role. In addition, this area in the fracture surface of this alloy in LA and CS shows sudden static failure with appreciable plastic deformation [36].…”

Section: Fracture Characteristicsmentioning

confidence: 99%

Low-Cycle Corrosion Fatigue Deformation Mechanism for an α+β Ti-6Al-4V-0.55Fe Alloy

Sun,

Qian,

Chang

et al. 2024

Metals

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Titanium alloys with high strength and good corrosion resistance have become one of the critical bearing structural materials in marine engineering. But in service, corrosion fatigue would occur under the synergetic action of cyclic external load and corrosion environment, threatening the safety of components. In this study, compared with low-cycle fatigue in laboratory air, the low-cycle corrosion fatigue deformation mechanism and fracture characteristic of the Ti-6Al-4V-0.55Fe alloy were investigated in 3.5% NaCl corrosion solution under selected stress amplitudes. The results showed that under low stress amplitude, corrosion fatigue was determined by fatigue damage and corrosion damage, causing a reduction in fatigue life. The local stress concentration caused by corrosion pits and dislocations pile-up accelerated the initiation of fatigue cracks, and other corrosion behavior including crevice corrosion promoted fatigue crack propagation; the corrosion solution increased the surface damage. While under high stress amplitude, due to the short contact time between the sample and solution and higher applied stress, the fatigue life is determined by fatigue damage caused by multiple slips.

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Effects of rolling reduction and direction on fatigue crack propagation in commercially pure titanium with harmonic structure

Cited by 15 publications

References 32 publications

Effects of cold rolling and annealing time on fatigue resistance of AA5052 aluminum alloy

Effects of cold rolling and annealing time on fatigue resistance of AA5052 aluminum alloy

Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys

Low-Cycle Corrosion Fatigue Deformation Mechanism for an α+β Ti-6Al-4V-0.55Fe Alloy

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