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https://scidar.kg.ac.rs/handle/123456789/18409
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Поље DC-а | Вредност | Језик |
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dc.contributor.author | Pajić, Nemanja | - |
dc.contributor.author | Aleksić, Jovana | - |
dc.contributor.author | Zivic, Fatima | - |
dc.contributor.author | Djordjevic, Aleksandar | - |
dc.date.accessioned | 2023-06-14T12:17:08Z | - |
dc.date.available | 2023-06-14T12:17:08Z | - |
dc.date.issued | 2023 | - |
dc.identifier.isbn | 978-86-6335-104-2 | en_US |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/18409 | - |
dc.description.abstract | The purpose of this paper is to explore conventional laser welding quality control methods and compare them with modern AI-based (Artificial Inteligence) testing solutions, highlighting the potential of AI in laser welding quality assurance. AI can effectively monitor various laser welding process signals and parameters to determine weld quality. Furthermore, AI image recognition can enhance weld error detection precision when monitoring laser welding with vision systems. In cases where conventional quality control methods, such as X-ray, are utilized, AI can be employed to process and interpret test results, reducing the time and effort required for a human operator. This paper presents and briefly discusses several successful AI application examples in laser welding quality assurance, as well as application possibilities, demonstrating the latest state-of-the-art non destructive laser welding test solutions. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Faculty of Engineering, University of Kragujevac, Serbia | en_US |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.source | 14th International Quality Conference, Quality Festival 2023 | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Laser Welding | en_US |
dc.subject | Quality Assurance | en_US |
dc.subject | Non-Destructive Testing | en_US |
dc.title | AI APPLICATION IN QUALITY ASSURANCE OF INDUSTRIAL LASER WELDING PROCESSES | en_US |
dc.type | conferenceObject | en_US |
dc.description.version | Published | en_US |
dc.type.version | PublishedVersion | en_US |
Налази се у колекцијама: | Faculty of Engineering, Kragujevac |
Датотеке у овој ставци:
Датотека | Опис | Величина | Формат | |
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50.pdf | 460.62 kB | Adobe PDF | ![]() Погледајте |
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