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RESEARCH PAPER · China Foundry · 2023

On establishment of novel constitutive model for directionally solidified nickel-based superalloys utilizing machine learning methods

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On establishment of novel constitutive model for directionally solidified nickel-based superalloys utilizing machine learning methodsOriginalPerformance prediction of 304 L stainless steel based on machine learning7Study of the Tensile and Fatigue Properties of Quinary Strengthening Phase in Ni‐Based Superalloys1Dynamic mechanical behavior of K417G superalloy: development of Johnson-Cook constitutive model and its application in single-grit grinding1Machine learning-assisted modelling of hot deformation behaviour in Inconel 718 alloy0Research progress on directional solidification process of single-crystal turbine blades made of nickel-based superalloys for aero-engines2

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  1. Performance prediction of 304 L stainless steel based on machine learning

    Materials Today Communications · 2024-10-11

    Xiaohui Gao, Yafeng Ji, Pengfei Fan, Shimin Ma

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  2. Study of the Tensile and Fatigue Properties of Quinary Strengthening Phase in Ni‐Based Superalloys

    Advanced Engineering Materials · 2025-01-30

    Chuan‐Hui Zhang, Ni Lu, Liwu Jiang, Jin Wang

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  3. Dynamic mechanical behavior of K417G superalloy: development of Johnson-Cook constitutive model and its application in single-grit grinding

    Materials & Design · 2026-01-30

    Ning Qian, Chengxiang Li, Ziyu Liu, Yuting Sun, Yusuf Kaynak, Lama Anggei, Zhengcai Zhao, Yucan Fu

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  4. Machine learning-assisted modelling of hot deformation behaviour in Inconel 718 alloy

    Canadian Metallurgical Quarterly · 2026-04-09

    Praveen Gagrai, Vineet Kumar Bhagat, Uday Kumar, Saurabh Dewangan

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  5. Research progress on directional solidification process of single-crystal turbine blades made of nickel-based superalloys for aero-engines

    Journal of Alloys and Compounds · 2026-04-27

    Kang Wang, Hao-Qin Yang, Xiao-Fu Liu, Dandan Yan, Zhong-de Shan, Zhi GUO, Chun-Bo Zhang, Kang-He Jang, Wenbing Zou, Xiang-Hao Kong, Yanhui Wang, Jian Shen, Yu-Zhang Lu

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