The peculiar geometrical shape and working conditions of crankshafts make fatigue becoming\ud responsible for most of the failure cases in such components. Therefore, improvement of crankshaft\ud performance requires enhancing its fatigue life. In this work, the fatigue behavior of a D38MSV5S steel, used for\ud crankshafts in compact vehicles, is investigated according to two traditional ways of analysis, namely the stress\ud based and the fracture mechanics based approaches, though using advanced design models: On the one side, a\ud probabilistic Weibull regression S-N model is assessed for experimental results obtained from fatigue resonance\ud tests. On the other side, the crack growth rate curve is calculated from crack growth tests, carried out on SENB\ud specimens, using a normalizing procedure. Specific Matlab programs are developed to facilitate the evaluation\ud process. The information gained from both models will contribute to provide a probabilistic interpretation to the\ud Kitagawa-Takahashi diagram
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.