Measuring and qualification on camera recordings in wire arc additive manufacturing monitoring

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dc.contributor.authorGüler, Oğuzhan
dc.contributor.authorDinçer, Esra
dc.date.accessioned2024-06-13T20:16:05Z
dc.date.available2024-06-13T20:16:05Z
dc.date.issued2023
dc.departmentFakülteler, Mühendislik Fakültesi, Mekatronik Mühendisliği Bölümü
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023 -- Istanbul -- 8-10 June 2023
dc.description.abstractWire Arc Additive Manufacturing (WAAM) is one of the emerging technologies which have been demanded from industry. Monitoring the manufacturing process is very important in order to avoid any deposition defects, errors like dimensional errors, detecting problems and also to get better texture recognition and higher performance in WAAM. The thermal cameras are being used to monitor the weld pools in general and the information captured can be processed by using computer programs for different outcomes. In this study, we processed three WAAM videos and calculated the size of the thermal light regions simultaneously to get momentary welding amount in order to measure the welding quality and stability. K-means clustering method and Teh-Chin chain approximation algorithm have been applied to process videos, separately. We found that Teh-Chin chain approximation was 27.5% more successful to detect the thermal light regions.
dc.identifier.doi10.1109/HORA58378.2023.10156704
dc.identifier.isbn9798350337525
dc.identifier.scopus2-s2.0-85165643978
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/HORA58378.2023.10156704
dc.identifier.urihttps://hdl.handle.net/11501/1018
dc.indekslendigikaynakScopus
dc.institutionauthorGüler, Oğuzhan
dc.institutionauthorDinçer, Esra
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectK-Means
dc.subjectTeh-Chin Chain Algorithm
dc.subjectThermal Camera
dc.subjectVideo Processing
dc.subjectWelding Monitoring
dc.titleMeasuring and qualification on camera recordings in wire arc additive manufacturing monitoring
dc.typeConference Object

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