fig9

High-cycle fatigue S-N curve prediction of steels based on a transfer learning-guided convolutional neural network

Figure 9. Prediction results after introducing tensile properties. (A) Distribution of UTS, TEL and rotating bending fatigue strength of dataset. (B) Distribution of UTS, TEL and reversed torsion fatigue strength of dataset. (C) An optimized TR-CNN architecture incorporating a source model for tensile properties. (D) MAE results of basic TR models and TR models after introducing tensile properties.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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