DocumentCode :
605759
Title :
Weld metal revelation for machine vision applications
Author :
Hashemi, Seyyed Hadi ; Khalili, K. ; Moradpour, M.A. ; Salimi, Mahdi
Author_Institution :
Dept. of Mech. Eng., Univ. of Birjand, Birjand, Iran
fYear :
2013
fDate :
6-8 March 2013
Firstpage :
1
Lastpage :
5
Abstract :
Modeling and optimization of welding processes is one of the important topics for welding researches. In such research, it is necessary to measure the weld bead geometry. Nowadays, machine vision has a widespread use in measurement applications. In order to use machine vision in weld bead geometry measurement, it is necessary to acquire the desired images of cross section of welded plates with desirable separation of weld and base metal regions. This separation is performed by suitable solution to etch cross section of welded plates. In this paper, it has been tried to determine suitable solution to etch cross section of welded plates (made from API X56 steel) for obtaining the best revelation of weld metal regions. This solution can be utilized to obtain desired image of welded plate´s cross section for machine vision measurement of weld bead geometry.
Keywords :
computer vision; plates (structures); production engineering computing; steel; welding; API X56 steel; base metal region; image acquisition; machine vision application; machine vision measurement; weld bead geometry measurement; weld metal region; weld metal revelation; welded plate cross section; welding process modeling; welding process optimization; welding quality; welding research; Etching; Geometry; Machine vision; Steel; Water; Welding; API X65 steel; machine vision; submerged arc welding; weld bead geometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition and Image Analysis (PRIA), 2013 First Iranian Conference on
Conference_Location :
Birjand
Print_ISBN :
978-1-4673-6204-7
Type :
conf
DOI :
10.1109/PRIA.2013.6528438
Filename :
6528438
Link To Document :
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