Pore-induced fatigue failure: A prior progressive fatigue life prediction framework of laser-directed energy deposition Ti-6Al-4V based on machine learning
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Elsevier BV
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2. Multi-physics information-integrated neural network for fatigue life prediction of additively manufactured Hastelloy X superalloy;Virtual and Physical Prototyping;2024-07-07
3. A fatigue life prediction approach for porosity defect-induced failures in directed energy deposited Ti-6Al-4V considering crack growth environment;International Journal of Fatigue;2024-07
4. Effects of Gas-Pore Sizes and Locations on Fatigue Failure: A Peridynamic Study;2024
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