Automated flame rectification process planning system in shipbuilding based on artificial intelligence

被引：7
作者：
Zhang, Zhiying [1 ]
Jiang, Zhibin [1 ]
Yu, Chengquan [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Ind Engn & Management, Shanghai 200030, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2006年 / 30卷 / 11-12期
关键词：
automation; flame rectification; neural network; rule-based reasoning;
D O I：
10.1007/s00170-005-0140-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Distortion is a crucial problem with all welded fabrications in shipbuilding. Flame rectification is one of the most time-consuming processes. At present, it is still an experience-relying and manual operation. Because of lack in uniform flame rectification process, production has poor stability and productivity varies greatly among operators. In this paper, three typical kinds of welding components are chosen as study objects to generate the process planning of manual flame rectification automatically by artificial intelligence (AI) technology. In addition, we may also attain appropriate process parameters based on the model of neural network. A prototype system of automated flame rectification process planning is built. The system has been tested on actual components, and the results were found to be quite accurate and efficiency. Meanwhile, it establishes the fundament for the automation of flame rectification process.
引用
收藏
页码：1119 / 1125
页数：7
相关论文
共 18 条
  • [1] *AM WELD SOC, 1976, WELD HDB, V1
  • [2] Bachorski A, 1999, J MATER PROCESS TECH, V93, P405
  • [3] Bishop C. M., 1996, Neural networks for pattern recognition
  • [4] A practical overview of neural networks
    Burke, L
    Ignizio, JP
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 1997, 8 (03) : 157 - 165
  • [5] An automated welding operation planning system for block assembly in shipbuilding
    Cho, KK
    Sun, JG
    Oh, JS
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1999, 60-1 : 203 - 209
  • [6] Artificial intelligence for the modeling and control of combustion processes: a review
    Kalogirou, SA
    [J]. PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2003, 29 (06) : 515 - 566
  • [7] Prediction of welding parameters for pipeline welding using an intelligent system
    Kim, IS
    Jeong, YJ
    Lee, CW
    Yarlagadda, PKDV
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2003, 22 (9-10) : 713 - 719
  • [8] Use of ANN to simulate the effects of welding process parameters in curved steel plates: Residual stresses, strains and distortions
    Klein, RL
    Klinkhachorn, P
    Mucino, VH
    Awang, M
    [J]. PROCEEDINGS OF THE 35TH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, 2003, : 29 - 33
  • [9] KOENIG PC, 2002, LEAN
  • [10] Automation of heat bending in shipbuilding
    Kuo, HC
    Wu, LJ
    [J]. COMPUTERS IN INDUSTRY, 2002, 48 (02) : 127 - 142
12