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J Weld Join > Volume 42(2); 2024 > Article
Journal of Welding and Joining 2024;42(2):215-222.
DOI: https://doi.org/10.5781/JWJ.2024.42.2.9    Published online April 30, 2024.
Review on Ultrasonic Welding Quality Monitoring Technology
Byeong-Jin Kim1,2  , Insung Hwang1,2  , Seong-Guk Son3  , Chanhoon Park3  , Young-Min Kim2 
1Department of Mechanical Convergence Engineering, Hanyang University, Seoul, 04763, Korea
2Advanced Joining & Additive Manufacturing R&D Department, Korea Institute of Industrial Technology, Incheon, 21999, Korea
3Lightweight Materials Research Team, Research & Development Division, Hyundai Motor Company, Hwaseong, 18280, Korea
Correspondence:  Young-Min Kim,
Email: ymkim77@kitech.re.kr
Received: 9 January 2024   • Revised: 2 February 2024   • Accepted: 12 March 2024
Abstract
To produce batteries for electric vehicles, various welding processes are used, of which ultrasonic welding is an important one. In recent years, the quality control of welded components has become increasingly important due to fires and frequent discharges caused by battery heat. In addition, ultrasonic welding is sensitive to the process environment, so quality monitoring is essential. In this paper, we introduce a study to predict the quality of ultrasonic welding by measuring the energy generated during the welding process, the vibration of the horn and anvil, and the temperature of the weld. In particular, we will introduce various methods to measure the temperature of the weld, which is difficult to measure in the ultrasonic welding process, and a study that performs machine learning by fusing the energy and vibration obtained in the process.
Key Words: Ultrasonic welding, Monitoring, Welding quality, Vibration measurement, Temperature measurement, Deep learning


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