Corrosion of magnesium alloy containing LPSO phase based on machine learning

被引:0
|
作者
Pei, Sanlüe [1 ]
Wang, Haitao [2 ]
Han, Yuexing [3 ]
Li, Qian [1 ]
Wang, Jingfeng [1 ]
机构
[1] College of Materials Science and Engineering, Chongqing University, Chongqing,404100, China
[2] Guangdong Institute of Corrosion Science and Technology Innovation, Guangzhou,510530, China
[3] College of Computer Science and Engineering, Shanghai University, Shanghai,20044, China
基金
中国国家自然科学基金;
关键词
D O I
10.11817/j.ysxb.1004.0609.2023-44562
中图分类号
学科分类号
摘要
引用
收藏
页码:1964 / 1981
相关论文
共 50 条
  • [1] Research Progress of LPSO Phase in Rare Earth Magnesium Alloy
    Gao A.
    Li Q.
    Chen X.
    Mei W.
    Chen P.
    Tan J.
    Li
    Zhongguo Xitu Xuebao/Journal of the Chinese Rare Earth Society, 2024, 42 (02): : 204 - 215
  • [2] Prediction of electrochemical corrosion behavior of magnesium alloy using machine learning methods
    Moses, Atwakyire
    Chen, Ding
    Wan, Peng
    Wang, Siyuan
    MATERIALS TODAY COMMUNICATIONS, 2023, 37
  • [3] Quench sensitivity characterization of a LPSO-phase containing Mg alloy
    Wang, Dan
    Fu, Penghuai
    Peng, Liming
    Wang, Yingxin
    Ding, Wenjiang
    MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2019, 749 : 291 - 300
  • [4] Property Prediction of Medical Magnesium Alloy based on Machine Learning
    Li, Na
    Zhao, Siyue
    Zhang, Zhigang
    2021 IEEE 6TH INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2021), 2021, : 51 - 55
  • [5] Microstructures and properties of as-cast rare Earth magnesium alloy with LPSO phase
    Chen, Hongmei
    Han, Dong
    Cui, Hongwei
    Zhang, Liang
    Wang, Ling
    Zhang, Jing
    Jin, Yunxue
    MATERIALS RESEARCH EXPRESS, 2019, 6 (09):
  • [6] Prediction of Mg Alloy Corrosion Based on Machine Learning Models
    Lu, Zhenxin
    Si, Shujing
    He, Keying
    Ren, Yang
    Li, Shuo
    Zhang, Shuman
    Fu, Yi
    Jia, Qi
    Jiang, Heng Bo
    Song, Haiying
    Hao, Mailing
    ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2022, 2022
  • [7] Prediction of electronic work function of the second phase in binary magnesium alloy based on machine learning method
    Wei, Xiaoxiu
    Wang, Jianfeng
    Wang, Chao
    Zhu, Shijie
    Wang, Liguo
    Guan, Shaokang
    JOURNAL OF MATERIALS RESEARCH, 2022, 37 (21) : 3792 - 3802
  • [8] Prediction of electronic work function of the second phase in binary magnesium alloy based on machine learning method
    Xiaoxiu Wei
    Jianfeng Wang
    Chao Wang
    Shijie Zhu
    Liguo Wang
    Shaokang Guan
    Journal of Materials Research, 2022, 37 : 3792 - 3802
  • [9] Dynamic dissolution and transformation of LPSO phase during thermomechanical processing of a GWZ magnesium alloy
    Shahsa, H.
    Zarei-Hanzaki, A.
    Barabi, A.
    Cho, J. H.
    Han, Sang-Ho
    MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2019, 754 : 85 - 98
  • [10] High strain rate deformation mechanism of Mg-2.5Zn-4Y magnesium alloy containing LPSO phase
    Wang, Guoxin
    Mao, Pingli
    Wang, Zhi
    Zhou, Le
    Wang, Feng
    Liu, Zheng
    MATERIALS SCIENCE AND TECHNOLOGY, 2021, 37 (01) : 14 - 22