| 人工智能技术在电阻点焊过程控制中的应用与发展 |
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| 引用本文： | 曹海鹏,赵熹华,赵贺,杨黎峰.人工智能技术在电阻点焊过程控制中的应用与发展[J].吉林大学学报(工学版),2004,34(4):532-537. |
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| 作者姓名： | 曹海鹏 赵熹华 赵贺 杨黎峰 |
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| 作者单位： | 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 |
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| 基金项目： | 国家自然科学基金资助项目(50175048)，美国GM基金资助项目(200302). |
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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。
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| 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 |
| 文章编号： | 1671-5497(2004)04-0532-06 |
| 收稿时间： | 2004-05-08 |
| 修稿时间： | 2004年5月8日 |
Application and development of artificial intelligence to resistance spot welding control |
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| CAO Haipeng,ZHAO Xihua,ZHAO He,YANG Lifeng.Application and development of artificial intelligence to resistance spot welding control[J].Journal of Jilin University:Eng and Technol Ed,2004,34(4):532-537. |
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| Authors: | CAO Haipeng ZHAO Xihua ZHAO He YANG Lifeng |
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| Affiliation: | CAO Haipeng~1,ZHAO Xihua~1,ZHAO He~2,YANG Lifeng~1 |
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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. |
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| Keywords: | material synthesizing and processing artificial intelligence resistance spot welding process control quality prediction |
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