Monitoring of backside image of molten pool during aluminum pipe welding using vision sensor

Ario Sunar Baskoro, Masashi Kabutomori, Yasuo Suga

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper proposes an image sensing system for the TIG (Tungsten Inert Gas) welding process of aluminum pipe. In automatic welding process, it is important to recognize the molten pool during the welding process. The use of CCD camera as vision sensor obtains the information of molten pool. The research was conducted for welding of aluminum alloy A16063S-T5 with controlled welding speed and the AC welding polarity. Firstly, histogram analysis and range of brightness threshold was established. Secondly, by using the differential value of brightness of molten pool, the edge of molten pool can be detected. Finally, to overcome the unsteady detected edge, the ellipse approximation was used to obtain the image parameters, which are width, length and area. From the experiments it is shown that the recognition of molten pool using vision sensor is an effective method.

Original languageEnglish
Title of host publicationMaterials Science Forum - Advanced Welding and Micro Joining/Packaging for the 21st Century - Selected peer reviewed papers from the International Welding/Joining Conference-Korea 2007, IWJC 2007
EditorsChang Hee Lee, Jong-Bong Lee, Jong-Bong Lee, Dong-Hwan Park, Suck-Joo Na
PublisherTrans Tech Publications Ltd
Pages379-382
Number of pages4
ISBN (Electronic)9780878493609
DOIs
Publication statusPublished - 2008
EventInternational Welding/Joining Conference-Korea 2007, IWJC 2007 - Seoul, Korea, Republic of
Duration: 10 May 200712 May 2007

Publication series

NameMaterials Science Forum
Volume580-582
ISSN (Print)0255-5476
ISSN (Electronic)1662-9752

Conference

ConferenceInternational Welding/Joining Conference-Korea 2007, IWJC 2007
Country/TerritoryKorea, Republic of
CitySeoul
Period10/05/0712/05/07

Keywords

  • Aluminum pipe
  • Tig welding
  • Vision sensor
  • Welding penetration control

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