Prediction of fatigue limit of induction surface hardened 1.05Cr–0.23Mo steel alloy using extreme value statistics |
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Authors: | Byoung-Ho Choi Sam-Hong Song |
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Affiliation: | (1) Department of Civil and Materials Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA;(2) Department of Mechanical Engineering, Korea University, Seoul, Republic of Korea |
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Abstract: | Fatigue characteristics of the surface hardened steel are different from that of normal steel, so the prediction of the fatigue
limit of surface hardened steel is very complicated. In this paper, specimens are tested using rotary bending, and the surface
of 1.05Cr–0.23Mo steel alloy is hardened by induction surface hardening. Variation of the distribution of microvickers hardness
and residual stress is discussed, and the difference of S-N diagram between surface hardened steel and unhardened steel is
examined. The maximum defect size of surface hardened specimen is calculated by the extreme value statistics to predict conservative
fatigue limit. Actual shape of defect in the specimen is three dimensional, so a conversion method from 2D to 3D defect size
based on examination volume and inclusion size is used to predict statistical maximum defect size. The predicted results can
be defined as a lower fatigue limit which may be useful to predict conservative fatigue limit of surface hardened specimen. |
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