Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime
Yinfeng Jia, Rui Fu, Chao Ling, Zheng Shen, Liang Zheng, Zheng Zhong, Youshi Hong
Topics & Concepts
Materials scienceHyperparameterFusionTitanium alloyDeep belief networkFatigue testingStress (linguistics)Fatigue limitArtificial neural networkTitaniumArtificial intelligenceCyclic stressStructural engineeringComposite materialMetallurgyComputer scienceEngineeringAlloyLinguisticsPhilosophyAdditive Manufacturing Materials and ProcessesWelding Techniques and Residual StressesAdditive Manufacturing and 3D Printing Technologies