NDLI: A study on the estimate of weld bead shape and the compensation of welding parameters by considering weld defects in horizontal fillet welding

Content Provider	IEEE Xplore Digital Library
Author	Gwan-Hyung Kim Sung-In Kang Sang-Bae Lee
Copyright Year	1999
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Korean Maritime Univ., South Korea (Gwan-Hyung Kim)
Abstract	Generally, though we use a vision sensor or arc sensor in the welding process, it is difficult to define the welding parameters which can be applied to weld quality control. The important parameters in arc welding are arc voltage, welding current, welding speed and they affect the weld bead shape, the stability of the welding process and weld quality. Therefore, it is difficult to determine the unique relationship between the weld bead geometry and the combination of various welding conditions. Due to the various difficulties, we intend to use fuzzy logic and neural networks to solve these problems. Therefore, the combination of fuzzy logic and neural networks has an effect on removing the weld defects, improving the weld quality and finding the desired weld bead shape. Finally, this system can help us make an estimate of the weld bead shape and remove the weld defects.
Starting Page	212
Ending Page	216
File Size	366862
Page Count	5
File Format	PDF
ISBN	0780355784
DOI	10.1109/KES.1999.820157
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-08-31
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Welding Neural networks Fuzzy logic Shape control Humans Robotics and automation Artificial neural networks Signal processing Voltage Robot sensing systems
Content Type	Text
Resource Type	Article

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