首页|On-line quality inspection in laser blank welding using ART2 neural network

On-line quality inspection in laser blank welding using ART2 neural network

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Laser blank welding is becoming more and more important in the automotive industry and the quality of the weld is critical for a successful application. A fully automated solution is required to inspect the quality of the blanks. This paper presents a vision inspection system with a CMOS camera which uses ART2 network to inspect the defects on-line to obtain the geometry and the quality of the weld seam. The neural network ART2 has the capability of self-learning from the environment.It can distinguish the defects that have been learned before and give new outputs for new defects. So ART2 network is suitable for weld quality inspection in laser blank welding. Additionally, a CO2 laser is used for the blank butt-welding.

quality inspection, laser blank welding, neural network, ART2

Zou Yuanyuan、Zhao Mingyang、Zhang Lei

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Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016

Graduate School of the Chinese Academy of Sciences, Beijing, 100039

2006

中国焊接(英文版)
中国焊接协会 中国机械工程学会 焊接学会 哈尔滨焊接研究所

中国焊接(英文版)

CSCD
影响因子:0.139
ISSN:1004-5341
年,卷(期):2006.15(4)
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