Abstract
Foreign object damage (FOD) tests and high-cycle fatigue (HCF) tests were carried out for Ti-17 titanium alloy simulation blades. The results showed that damage notches could be divided into semicircular and deflection types. The HCF strength of deflection-type specimens was lower than that of semicircular-type specimens. FOD and fatigue properties were characterized by scanning electron microscopy. The extrusion zone of deflection notches was inclined, reducing the fatigue strength compared with semicircular notches. A back-propagation neural network-based method for predicting the HCF strength of FOD simulation blades was developed, for which the prediction error was small.
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