Residual stress prediction using neural network approach

被引：0
|
作者：
Menda, František [1 ]
More, Marcel [2 ]
Cardona-Cuervo, G.P. [3 ]
Martinez-Tabares, F.J. [3 ]
机构：
[1] Technical University of Košice, Department of Applied Mechanics and Mechatronics, Letná 9, 04200 Košice, Slovakia
[2] Technical University of Košice, Department of Automation, Control and Human Machine interaction, Letná 9, 04200 Košice, Slovakia
[3] CELBIT LTDA, Via Aeropuerto, U. Nacional Bl.X105 Parque Innovacion, Colombia
来源：
Applied Mechanics and Materials | 2014年 / 611卷
关键词：
Residual stresses;
D O I：
10.4028/www.scientific.net/AMM.611.436
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：436 / 440
相关论文
共 50 条
  • [1] Weld residual stress prediction using artificial neural network and Fuzzy logic modeling
    Dhas, J. Edwin Raja
    Kumanan, Somasundaram
    INDIAN JOURNAL OF ENGINEERING AND MATERIALS SCIENCES, 2011, 18 (05) : 351 - 360
  • [2] An improved neural network model for residual stress prediction in turning
    Amamou, R
    Ben Fredj, N
    Ben Rhouma, A
    Fnaiech, F
    2004 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), VOLS. 1- 3, 2004, : 1012 - 1016
  • [3] Prediction of residual stresses in girth welded pipes using an artificial neural network approach
    Mathew, J.
    Moat, R. J.
    Paddea, S.
    Fitzpatrick, M. E.
    Bouchard, P. J.
    INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2017, 150 : 89 - 95
  • [4] The prediction of residual stress of welding process based on deep neural network
    Qin, Yuli
    Ma, Chunwei
    Mei, Lin
    Fang, Yuan
    Zhao, Yi
    MATERIALS TODAY COMMUNICATIONS, 2024, 39
  • [5] Prediction and classification of minerals using deep residual neural network
    Theerthagiri, Prasannavenkatesan
    Ruby, A. Usha
    George Chellin Chandran, J.
    NEURAL COMPUTING & APPLICATIONS, 2024, 36 (04): : 1539 - 1551
  • [6] Prediction and classification of minerals using deep residual neural network
    Prasannavenkatesan Theerthagiri
    A. Usha Ruby
    J. George Chellin Chandran
    Neural Computing and Applications, 2024, 36 : 1539 - 1551
  • [7] Prediction of Flow Stress in Cadmium Using Constitutive Equation and Artificial Neural Network Approach
    A. Sarkar
    J. K. Chakravartty
    Journal of Materials Engineering and Performance, 2013, 22 : 2982 - 2989
  • [8] Prediction of Flow Stress in Cadmium Using Constitutive Equation and Artificial Neural Network Approach
    Sarkar, A.
    Chakravartty, J. K.
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2013, 22 (10) : 2982 - 2989
  • [9] Prediction of welding residual stress and deformation in electro-gas welding using artificial neural network
    Liu, Fangfang
    Tao, Congcong
    Dong, Zhibo
    Jiang, Kun
    Zhou, Shouzhen
    Zhang, Zhihang
    Shen, Chen
    MATERIALS TODAY COMMUNICATIONS, 2021, 29
  • [10] RESIDUAL STRESS PREDICTION IN POROUS CFRP USING ARTIFICIAL NEURAL NETWORKS
    Gomes, Guilherme Ferreira
    Ancelotti, Antonio Carlos, Jr.
    da Cunha, Sebastiao Simoes, Jr.
    COMPOSITES-MECHANICS COMPUTATIONS APPLICATIONS, 2018, 9 (01): : 27 - 40
12345