Evaluation of the effect of surface roughness parameters on fatigue of TC17 titanium alloy impeller using machine learning algorithm and finite element analysis

Using deep neural network with small dataset to predict material defects

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Computing, Materials Engineering, Materials Science +17

A machine-learning fatigue life prediction approach of additively manufactured metals

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Natural Sciences, Materials Engineering, Materials Science +12

Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L

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A deep learning based life prediction method for components under creep, fatigue and creep-fatigue conditions

Xiaocheng Zhang, Jian‐Guo Gong, Fu‐Zhen Xuan · International Journal of Fatigue · 2021 · 237 citations

Engineering, Materials Engineering, Materials Science +14

A novel method of multiaxial fatigue life prediction based on deep learning

Jingye Yang, Guozheng Kang, Yujie Liu et al. · International Journal of Fatigue · 2021 · 206 citations

Computing, Computer Science, Mechanical Engineering +11