Weld Quality Prediction for Resistance Microwelding of Fine Cu Wire based on the Back-propagation Neural Network

被引：0
|
作者：
Mo, Binghua [1 ]
Pan, Zinan [1 ]
机构：
[1] Guangdong Jidian Polytech, Fac Mech Engn, Guangzhou, Guangdong, Peoples R China
来源：
ADVANCED MATERIALS AND PROCESS TECHNOLOGY, PTS 1-3 | 2012年 / 217-219卷
关键词：
Resistance microwelding; Quality prediction; Neural network;
D O I：
10.4028/www.scientific.net/AMM.217-219.1709
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A neural network model is established to predict the joint quality in resistance microwelding (RMW) of fine Cu wire and stainless steel thin sheet. The preheat current, welding current, weld time and electrode force are selected as the input parameters and the tensile strength as the output parameter in the model. The prediction program is compiled in MATLAB through the detailed designing of hidden layer and the selection of the transfer function. The network performance is verified by experiment, and its accuracy meets the production requirements in the actual welding.
引用
收藏
页码：1709 / 1712
页数：4
相关论文
共 50 条
  • [1] Aggregate Interference Prediction Based on Back-Propagation Neural Network
    Zhao, Youping
    Shi, Lu
    Guo, Xin
    Sun, Chen
    2018 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS (DYSPAN), 2018,
  • [2] Deformation Prediction of Landslide Based on Improved Back-propagation Neural Network
    Chen, Huangqiong
    Zeng, Zhigang
    COGNITIVE COMPUTATION, 2013, 5 (01) : 56 - 62
  • [3] Deformation Prediction of Landslide Based on Improved Back-propagation Neural Network
    Huangqiong Chen
    Zhigang Zeng
    Cognitive Computation, 2013, 5 : 56 - 62
  • [4] Life prediction of slotted screen based on back-propagation neural network
    Deng, Fucheng
    Deng, Ziqiang
    Liang, He
    Wang, Lihua
    Hu, Haitao
    Xu, Yi
    ENGINEERING FAILURE ANALYSIS, 2021, 119
  • [5] A fuzzy neural network based on back-propagation
    Jin, Huang
    Quan, Gan
    Linhui, Cai
    ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 2, PROCEEDINGS, 2007, 4492 : 151 - +
  • [6] Multiaxial fatigue life prediction method based on the back-propagation neural network
    Zhao, Bingfeng
    Song, Jiaxin
    Xie, Liyang
    Ma, Hui
    Li, Hui
    Ren, Jungang
    Sun, Weiqiao
    INTERNATIONAL JOURNAL OF FATIGUE, 2023, 166
  • [7] Build Prediction Models for Gold Prices Based on Back-Propagation Neural Network
    Lin, Chingpei
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED MATHEMATICS, 2015, 122 : 155 - 158
  • [8] Back-Propagation Neural Network for QoS Prediction in Industrial Internets
    Chen, Hong
    COLLABORATE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING, COLLABORATECOM 2016, 2017, 201 : 577 - 582
  • [9] Acceleration by prediction for error back-propagation algorithm of neural network
    Kanda, Arihiro, 1600, Publ by Scripta Technica Inc, New York, NY, United States (25):
  • [10] A back-propagation neural network model for prediction of loss of balance
    Wang, WJ
    Bhattacharya, A
    PROCEEDINGS OF THE 1996 FIFTEENTH SOUTHERN BIOMEDICAL ENGINEERING CONFERENCE, 1996, : 85 - 88
12345