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박금기;최우현;조상명
- Proceedings of the KWS Conference
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- 2004.05a
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- pp.33-35
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- 2004
선박건조의 탑재공정에 있어서 용접장이 긴 후판 맞대기 용접에는 SAW가 대부분 적용되고 있지만 컨테이너 운반선의 UPPER DECK나 HATCH COAMING TOP PLATE 같은 경우 용접장이 짧고 작업공간이 협소하여 SAW가 적용되지 못하고 있다. (중략)
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Lee, Jeong-Ick;Koh, Byung-Kab
- Transactions of the Korean Society of Machine Tool Engineers
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- v.16 no.5
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- pp.14-23
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- 2007
Welding fabrication invariantly involves three district sequential steps: preparation, actual process execution and post-weld inspection. One of the major problems in automating these steps and developing autonomous welding system is the lack of proper sensing strategies. Conventionally, machine vision is used in robotic arc welding only for the correction of pre-taught welding paths in single pass. However, in this paper, multipass tracking more than single pass tracking is performed by conventional seam tracking algorithm and developed one. And tracking performances of two algorithm are compared in multipass tracking. As the result, tracking performance in multi-pass welding shows superior conventional seam tracking algorithm to developed one.
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안재현;김재웅
- Journal of Welding and Joining
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- v.16 no.3
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- pp.44-54
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- 1998
In this study a new arc sensor algorithm for automatic weld seam tracking was proposed, which uses the relative welding current variation according to the tip-to-workpiece distance in GMA welding. Since the new developed arc sensor algorithm is not sensitive to unstable factors of arc signal, the system is expected to get rid of the problems of already existing arc sensor system which include the difficulty of modeling the process for various welding conditions and limitation of application to thick plate welding. Thus the system is applicable not only to thick plate welding but also to thin plate welding. To implement the new arc sensor algorithm the system parameters which include sampling time, averaging range, weighting factor of moving averaging, basic compensation time, and basic compensation distance were determined by experimental analysis. Consequently this system has shown the successful tracking capability for the various welding conditions.
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