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Erfan Maleki, Okan Unal, Seyed Mahmoud Seyedi Sahebari, Kazem Reza Kashyzadeh and Igor Danilov
In this study, deep learning approach was utilized for fatigue behavior prediction, analysis, and optimization of the coated AISI 1045 mild carbon steel with galvanization, hardened chromium, and nickel materials with different thicknesses of 13 and 19 µ...
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Kasumi Morita, Masashi Mouri, Riccardo Fincato and Seiichiro Tsutsumi
This paper investigates the fatigue cyclic deformation behavior of mid-carbon steel. Uniaxial tensile loading tests and fatigue tests under constant and multi-step amplitude loading steps are performed to characterize the influence of loading history. Th...
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Jin Gan, Di Sun, Hui Deng, Zhou Wang, Xiaoli Wang, Li Yao and Weiguo Wu
In order to investigate the non-linear fatigue cumulative damage of joints in ocean structural parts, one type of low carbon steel Q345D was employed to prepare designed T-type specimens, and a series of fatigue experiments were carried out on the specim...
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I. O. Vakulenko,A. G. Lisnyak,O. M. Perkov,Xu Xiao Hai
Pág. 107 - 114
Purpose. The research supposes the explanation of influence of stress impulses from an electrical discharge in water on the level of the limited endurance at a cyclic loading of the thermally work-hardened carbon steel. Methodology. Material for research...
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I. O. Vakulenko,O. N. Perkov,M. Knapinski,D. M. Bolotova
Pág. 65 - 74
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I. A. Vakulenko,S. V. Proydak
Pág. 97 - 104
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I. O. Vakulenko
Pág. 242 - 245
For the rail axle steel the regular changes of structure during the fatigue test in dependence on strength amplitude are presented.
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Tavakkolizadeh, M. Saadatmanesh, H.
Pág. 186 - 196
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Hirano, A. Yamamoto, M. Sakaguchi, K. Shoji, T. Iida, K.
Pág. 52 - 58
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Dong Myung Shin,Chang Youl Lee and Kyung Sub Lee
Pág. 1042 - 1048
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