吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (4): 532-537.

• 论文 • 上一篇    下一篇

人工智能技术在电阻点焊过程控制中的应用与发展

曹海鹏1, 赵熹华1, 赵贺2, 杨黎峰1   

  1. 1. 吉林大学 材料科学与工程学院, 吉林 长春 130022;
    2. 长春工业大学 材料学院, 吉林 长春 130012
  • 收稿日期:2004-05-08 出版日期:2004-10-01
  • 通讯作者: 赵熹华(1941- ),男,教授,博士生导师.E-mail:zhaoxh@jlu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(50175048);美国GM基金资助项目(200302)

Application and development of artificial intelligence to resistance spot welding control

CAO Haipeng1, ZHAO Xihua1, ZHAO He2, YANG Lifeng1   

  1. 1. College of Materials Science and Engineering, Jilin University, Changchun 130022, China;
    2. College of Materials Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2004-05-08 Online:2004-10-01

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摘要： 综述了人工智能技术(人工神经网络、模糊控制、专家系统技术、智能主体等)在电阻点焊工艺参数设计、点焊过程控制、质量预测与评判等领域的应用特点,分析了人工智能技术在解决非线性、病态求解问题中的优势,并指出多种智能技术的集成已经成为人工智能技术在电阻点焊过程控制中应用的趋势。

关键词: 材料合成与加工工艺, 人工智能, 电阻点焊, 过程控制, 质量测评

Abstract: The application of the artificial intelligence such as artificial neural network, fuzzy control, expert system and intelligent agent etc. In the resistance spot welding including its processing parameters design, process control, quality prediction and evaluation were reviewed. The artificial intelligence applied to resistance spot welding was more powerful on solving the nonlinear and ill-structured problems. Integrating various artificial intelligence technologies and making full use of their respective advantages have become the current trend.

Key words: material synthesizing and processing, artificial intelligence, resistance spot welding, process control, quality prediction

中图分类号: 

  • TG453.9
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