Monitoring of molten pool image during pipe welding in gas metal arc welding (GMAW) using machine vision

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Abstract

This paper proposes a study on monitoring of molten pool image during pipe welding in gas metal arc welding (GMAW) using machine vision. As circumferential butt-welded pipes are frequently used in power stations, offshore structures, and process industries, it is requires advance technique of welding monitoring process. The research was conducted for welding of mild steel with controlled welding speed and Charge-couple Device (CCD) camera as vision sensor. The systems used GMAW machine with DC current. Neural network used for simulation of weld bead width. The experimental result shows the effectiveness of the image processing algorithm and simulation process.

Original languageEnglish
Title of host publicationICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
Pages381-384
Number of pages4
Publication statusPublished - 1 Dec 2011
Event2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011 - Jakarta, Indonesia
Duration: 17 Dec 201118 Dec 2011

Publication series

NameICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings

Conference

Conference2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011
Country/TerritoryIndonesia
CityJakarta
Period17/12/1118/12/11

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