Computer vision based end cap weld quality inspection system
Pious, L.; Kulgod, S.V.; Chadda, V.K.; Kamalesh Kumar, B.
Proceedings of the two days seminar on advances in metallography and microstructure: program and abstracts2005
Proceedings of the two days seminar on advances in metallography and microstructure: program and abstracts2005
AbstractAbstract
[en] This paper describes a weld quality inspection system that has been developed for QA(F), NFC to evaluate the PHWR end cap welds. The system consists of a trinocular microscope with a video camera connected through a video reduction lens, PCI video frame grabber and PC based acquisition and analysis software. The software developed in the VC++ under windows operating system calculates the non-fusion percentage for the weld specimens in two different modes of computing i.e. Indian welding inspection method and Canadian welding inspection method. The software uses image processing and analysis algorithms to automatically identify the lack of fusion lines as per user supplied parameters for a specific set-up of the system. The lack of fusion lines and the region of interest that was used for computation are marked on the image and can be saved for future reference. GUI for user interaction to delete or add non-fusion lines is also provided. A report generation module has been integrated with the analysis software as per user requirements. Reports are generated for the end cap welding performance including machine set up, machine qualification and operator qualification information. (author)
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Source
Indian Institute of Metals-Mumbai Chapter, Mumbai (India); Bhabha Atomic Research Centre, Mumbai (India); 143 p; Nov 2005; p. 69; Microstructure 2005: seminar on advances in metallography and microstructure; Mumbai (India); 1-2 Dec 2005
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Book
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Conference
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