Abstract

Fatigue failure is one of the main reasons for the failure of engineering application components. It is then necessary to propose a novel model for predicting fatigue strength expensive and time-consuming, fatigue strength could be predicted by the tensile strength based on the proposed novel model. In the present study, four intensity levels 304 stainless steel (SS) were prepared by rolling, in order to explore the relationship between tensile strength and fatigue strength, which, increase gradually with grain refinement. A novel model for fatigue strength prediction is established based on that fatigue strength is affected by tensile strength and work-hardening strength. Comparing the proposed model with the other two fatigue strength calculation methods, the model can greatly reduce the experimental cost with almost no reduction in accuracy.

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