한국산업융합학회 논문집 (Journal of the Korean Society of Industry Convergence)
- 제5권2호
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- Pages.111-118
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- 2002
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- 1226-833X(pISSN)
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- 2765-5415(eISSN)
GMA 용접공정의 비드형상 추론기술
The Inference System of Bead Geometry in GMAW
- 김면희 (구미1대학 차량기계과) ;
- 최영근 (구미1대학 차량기계과) ;
- 신현승 (구미1대학 차량기계과) ;
- 이문환 (구미1대학 차량기계과) ;
- 이태영 (구미1대학 차량기계과) ;
- 이상협 (구미1대학 차량기계과)
- Kim, Myun-Hee (Kumi 1 College) ;
- Choi, Young-Geun (Kumi 1 College) ;
- Shin, Hyeon-Seung (Kumi 1 College) ;
- Lee, Moon-Hwan (Kumi 1 College) ;
- Lee, Tae-Young (Kumi 1 College) ;
- Lee, Sang-Hyoup (Kumi 1 College)
- 투고 : 2001.09.14
- 심사 : 2002.04.20
- 발행 : 2002.05.31
초록
In GMAW(Gas Metal Arc Welding) processes, bead geometry (penetration, bead width and height) is a criterion to estimate welding quality, Bead geometry is affected by welding current, arc voltage and travel speed, shielding gas, CTWD (contact-tip to workpiece distance) and so on. In this paper, welding process variables were selected as welding current, arc voltage and travel speed. And bead geometry was reasoned from the chosen welding process variables using neuro-fuzzy algorithm. Neural networks was applied to design FLC(fuzzy logic control), The parameters of input membership functions and those of consequence functions in FLC were tuned through the method of learning by backpropagation algorithm, Bead geometry could he reasoned from welding current, arc voltage, travel speed on FLC using the results learned by neural networks. On the developed inference system of bead geometry using neuo-fuzzy algorithm, the inference error percent of bead width was within