• Title/Summary/Keyword: Gmaw

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Process Automation of Gas Metal Arc Welding Using Artificial Neural Network (인공신경회로망을 이용한 GMA 용접의 공정자동화)

  • 조만호;양상민;김옥현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.558-561
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    • 2002
  • A CCD camera with a laser strip was applied to realize the automation of welding Process in GMAW. It takes relatively long time to process image on-line control using the basic Hough transformation, but it has a tendency of robustness over the noise such spatter and arc light. The adaptive Hough transformation was used to extract the laser stripe and to obtain specific weld points In this study, a neural network based on the generalized delta rule algorithm was adapted for the process control of GMA, such as welding speed, arc voltage and wire feeding speed.

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Control of Bead Geometry in GMAW (GMAW에서 비드형상제어에 관한 연구)

  • 이재범;방용우;오성원;장희석
    • Journal of Welding and Joining
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    • v.15 no.6
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    • pp.116-123
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    • 1997
  • In GMA welding processes, bead contour and penetration patterns are criterion to estimate weld quality. Bead geometry is commonly defined with width, height and depth. When weaving is taken into account, selection of welding conditions is known to be difficult. Thus, empirical or trial-and-error method are usually introduced. This study examined the correlation of welding process variables including weaving parameters with bead geometry using srtificial neural networks(ANN). The main task of the Ann estimator is to realize the mapping characteristics from the sampled welding process variables to the actual bead geometry through training. After the neural network model is constructed, welding process variables for desired bead geometry is selected by inverse model. Experimental varification of the inverse model is conducted through actual welding.

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Signal Analysis of Rotational Arc Device in GMAW (회전 아크 장치를 이용한 GMAW 용접 신호 분석)

  • Kim, Ji-Tae;Shi, Yong-Hua;Na, Seok-Ju
    • Proceedings of the KWS Conference
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    • 2005.06a
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    • pp.326-328
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    • 2005
  • High speed rotational arc sensing is an important method to detect the torch deviation during automatic seam tracking of arc welding. In this paper, a mathematic model of high speed rotational arc sensing is analyzed. The simulation results are consistent with the experimental results. The current waveforms at the beginning of the welding are different from those at middle of the welding because of the formation of the weld bead profile. The signal patterns for seam tracking and end-point detection are proposed. A phase shift between the rotation and the current variation is also discovered in the experiments.

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STUD Welding on High Hardness Armor Steel of KWV (차륜형장갑차 고경도장갑강에 대한 스터드 용접의 적용)

  • Cho, Hwan-Hwi;Shin, Yong-cheol;Yi, Hui-jun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.5
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    • pp.567-573
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    • 2016
  • GMAW and GTAW processes have been used for welding of equipment mounting pads during decades. For improving the mobility and survivability of KWV(Korean Wheeled Vehicle), various types of equipment are required and numbers of pads for welding were increased. In this research, for improving productivity of mounting pads welding process, new technology of stud welding was studied. In this study, mechanical properties of stud weldment were investigated to compare with those of GMAW weldment. Also, research of stud weldment durability was carried out and proved its fatigue strength under the condition of KWV's 32,000 km load profile.