3D convolutional neural network based multi-modal data fusion for fatigue life prediction of additively manufactured Ti-6Al-4V alloy

International Journal of Fatigue 2026

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Authors: Jianrui Zhang, Qianqian Wu, Haijie Wang, Enxiang Fan, Bo Li

DOI: 10.1016/j.ijfatigue.2026.109641

Cited by: 3

References: 29

Fields of Study & Subjects

Additive Manufacturing Materials and Processes Fatigue and fracture mechanics Additive Manufacturing and 3D Printing Technologies

References 29