High-cycle fatigue life of coated low-carbon steel

1994 ◽  
Vol 16 (5) ◽  
pp. 321-326 ◽  
Author(s):  
A HASHEM ◽  
I ALY
2015 ◽  
Vol 664 ◽  
pp. 305-313 ◽  
Author(s):  
Han Qing Liu ◽  
Qing Yuan Wang ◽  
Zhi Yong Huang ◽  
Zhen Jie Teng

Carbon steel is a kind of metallic material that widely used in construction, machinery, manufacturing and other domains. In the mechanical structure system, long-term cyclic stress may cause the mechanical components failure. In this work, the characteristic of fatigue crack propagate in low carbon steel Q345 and the effect of loading frequency to the fatigue property of Q345 steel were investigated. Meanwhile, the dispersion of high-cycle fatigue of life of the Q345 steel under high fatigue testing frequency was analyzed, and the P-S-N curve with the test data was given out. With the help of infrared camera, temperature rise curve during fatigue test was analyzed to study the thermal dissipation of Q345 steel.


2010 ◽  
Vol 46 (14) ◽  
pp. 1570-1577 ◽  
Author(s):  
L. R. Botvina ◽  
I. M. Petrova ◽  
I. V. Gadolina ◽  
V. P. Levin ◽  
Yu. A. Demina ◽  
...  

Author(s):  
Natalia Gonçalves Torres ◽  
Vinícius Rodrigues ◽  
Edgar Mamiya

2018 ◽  
Vol 1145 ◽  
pp. 1-7
Author(s):  
Yuan Long Yang ◽  
Qing Chun Meng ◽  
Wei Ping Hu

In the paper, the relationship between the grain size and fatigue life are studied. To specify the initial and short crack propagation life of low carbon steel material, three methods are used in the simulation. At first, the K. Tanaka’s model is introduced to calculate the fatigue life of a grain. Then, the Voronoi Diagram is used to generate the microstructure of grains. At last, a criteria to specify the short crack is proposed. Based on these methods, the numerical simulation is conducted. With the help of the process, the grain sizes are generated randomly in order to specify how grain sizes effect fatigue life. The computational results are in good agreement with the experimental data. The results show that the randomness of fatigue life is closely related to the randomness of grain sizes.


2021 ◽  
Vol 2021 (3) ◽  
pp. 2-8
Author(s):  
І.О. Ryabtsev ◽  
◽  
V.V. Knysh ◽  
A.A. Babinets ◽  
S.O. Solovej ◽  
...  

2010 ◽  
Vol 2 (1) ◽  
pp. 555-561 ◽  
Author(s):  
Y. Tsuchida ◽  
T. Watanabe ◽  
T. Kato ◽  
T. Seto

1996 ◽  
Vol 45 (1) ◽  
pp. 21-25
Author(s):  
Akihiro MORIMOTO ◽  
Atsushi SAITO ◽  
Eiichi MATSUMOTO ◽  
Jun MATSUSHIMA

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