Artificial Neural Network-based Prediction and Regulation of Residual Compressive Stress Distribution in Laser Shock Peening

被引:0
|
作者
Zhou, Yuanhang [1 ,2 ]
Feng, Aixin [2 ]
Wei, Pengyu [3 ]
Zhang, Ruonan [3 ]
Song, Peilong [3 ]
Sheng, Yongqi [2 ]
Yao, Hongbing [1 ]
机构
[1] College of Mechanics and Engineering Science, Hohai University, Nanjing,210024, China
[2] Rui'an Graduate College, Wenzhou University, Zhejiang, Rui'an,325200, China
[3] China Ship Scientific Research Center, Jiangsu, Wuxi,214000, China
来源
Surface Technology | 2024年 / 53卷 / 13期
关键词
Compendex;
D O I
10.16490/j.cnki.issn.1001-3660.2024.13.008
中图分类号
学科分类号
摘要
ABAQUS - Bronze - Compressive stress - Cost reduction - Forecasting - Iterative methods - Machine learning - Neural networks - Regression analysis - Strain rate
引用
收藏
页码:75 / 83
相关论文
共 4 条
  • [2] Artificial neural network simulation on prediction of clay slope stability based on fuzzy controller
    Chen, Le-Qiu
    Peng, Zhen-Bin
    Chen, Wei
    Peng, Wen-Xiang
    Wu, Qi-Hong
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2009, 40 (05): : 1381 - 1387
  • [3] NNPCov19: Artificial Neural Network-Based Propaganda Identification on Social Media in COVID-19 Era
    Khanday, Akib Mohi Ud Din
    Bhushan, Bharat
    Jhaveri, Rutvij H.
    Khan, Qamar Rayees
    Raut, Roshani
    Rabani, Syed Tanzeel
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [4] Retraction notice to Prediction of busulfan solubility in supercritical CO2 using tree-based and neural network-based methods [J. Mol. Liq. 351 (2022) 118630] (Journal of Molecular Liquids (2022) 351, (S0167732222001672), (10.1016/j.molliq.2022.118630))
    Tianhao, Zhou
    Majdi, Hasan Sh.
    Bokov, Dmitry Olegovich
    Abdelbasset, Walid Kamal
    Thangavelu, Lakshmi
    Su, Chia-Hung
    Nguyen, Hoang Chinh
    Alashwal, May
    Ghazali, Sami
    Journal of Molecular Liquids, 409