Abstract

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

Highlights

  • D ue to the service conditions and its peculiar shape design, fatigue appears to be the main failure reason of crankshafts used in aeronautics and automotive engines [1]

  • The fatigue behavior of a D38MSV5S steel, used for crankshafts in compact vehicles, is investigated according to two traditional ways of analysis, namely the stress based and the fracture mechanics based approaches, though using advanced design models: On the one side, a probabilistic Weibull regression S-N model is assessed for experimental results obtained from fatigue resonance tests

  • In cracked components, the fatigue lifetime is only assigned to the propagation phase so that the lifetime is assessed based on fracture mechanics premises by determining the crack propagation law of fatigue cracks

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Summary

INTRODUCTION

D ue to the service conditions and its peculiar shape design, fatigue appears to be the main failure reason of crankshafts used in aeronautics and automotive engines [1].

MODEL FOR CRACK GROWTH RATE CURVE
Geometric factor according to standard
CONCLUSIONS
Full Text
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