Measuring and Qualification on Camera Recordings in Wire Arc Additive Manufacturing Monitoring
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Wire 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. © 2023 IEEE.
Açıklama
5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023 -- 8 June 2023 through 10 June 2023 -- -- 190025
Anahtar Kelimeler
K-means, Teh-Chin Chain Algorithm), Thermal camera, video processing, welding monitoring, 3D printing, Additives, Approximation algorithms, Cameras, Infrared devices, K-means clustering, Textures, Video signal processing, Emerging technologies, K-means, Manufacturing IS, Manufacturing process, Teh-chin chain algorithm), Thermal camera, Thermal light, Video processing, Welding monitoring, Wire arc, Welding
Kaynak
HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A