Abstract
An immediate and accurate judgment of laser welding quality is crucial to automobile, shipbuilding, power battery, and many other manufacturing industries. Optical radiation is the most common phenomenon during laser welding, and its variation implies the quality of welding joints. In this study, the reflected laser radiations from the keyhole and visible light radiations are captured and analyzed utilizing the Wavelet Packet Decomposition method (WPD). The energy spectrums of these in-situ signals are calculated and reconstructed as a feature map which indicates its time-frequency spectrum distribution. This study established a method based on CNN to explore and model the relationships between the features extracted from the photoelectric signals and the welding quality. Experimental results are analyzed and compared and show excellent performance in judging the laser welding process. This study provides a practical framework for in-situ judgment of the laser welding process based on photoelectric signals.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
