Abstract:Fatigue fracture is one of the most common metallic component failure
cases in manufacturing industries. The observation on fractography can
provide the direct evidence for failure analysis. In this study, an
image segmentation method based on Fully Convolutional Networks (FCNs)
was proposed to figure out the boundary between fatigue crack
propagation and fast fracture regions from optical microscope (OM)
fractography images. Furthermore, novel morphing-based data augmentation
method was adopted to enable few-… Show more
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