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

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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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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

CLC Number: 

  • TG453.9
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