Abstract
In this study, the fatigue failure behaviors of carburized 12Cr2Ni alloy steel were examined in the long-life regime between 104 and 108 cycles with about 100 Hz under R = 0. Results showed that this alloy steel exhibited the double S-N characteristics with surface failure and interior failure. From a statistical point of view, the correlation coefficient further proved that the fine granular area (FGA) governed the fatigue performance of carburized 12Cr2Ni alloy steel. Based on the generalized extreme values (GEV) distribution and test data, the predicted maximum defect size was about 23.4 μm. Considering the effect of tensile limit, material hardness, and crack size characteristics, the fatigue strength prediction model under stress ratio of 0 could be established. The predicted fatigue limit for carburized 12Cr2Ni alloy steel at 108 cycles under R = 0 was 507.86 MPa, and the prediction error of fatigue limit was within 0.04. Therefore, the results were extremely accurate.
Highlights
Due to the higher demand for reliability and safety of mechanical components in industrial design, the fatigue characteristics of structural materials has received increasingly more attention from researchers working on the field of long-life fatigue [1,2]
In the long-life regime, some factors relating to the fatigue properties of materials have been previously studied, such as load type [6,7], environment [8], defect size [6,9], surface conditions [10,11], and frequency [12], the development of a fatigue strength prediction model has still not been intensively studied
When the fatigue life is larger than 106 cycles, interior-failure mode often occurs in the alloy steel, and its typical characteristic is a fisheye feature on the fracture surface [13]
Summary
Due to the higher demand for reliability and safety of mechanical components in industrial design, the fatigue characteristics of structural materials has received increasingly more attention from researchers working on the field of long-life fatigue [1,2]. In the long-life regime, some factors relating to the fatigue properties of materials have been previously studied, such as load type [6,7], environment [8], defect size [6,9], surface conditions [10,11], and frequency [12], the development of a fatigue strength prediction model has still not been intensively studied. There is, one conclusion that all researchers agree to and that is that the FGA governs the long-life behavior of materials Based on this fact, some fatigue strength prediction models have been developed [14,22,23,24]. These models can reflect the failure mechanism of materials to a certain extent, they are no longer applicable when the FGA becomes difficult to be observed in the long-life region for some materials.
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