Abstract
Abstract
For the production of e-mobility components such as cable harnesses, battery cells, power electronics, etc., ultrasonic metal welding is well-established process of choice. These electrical applications require high quality for every single connection; single points of failure and no possibility of repair after installation or commissioning are state of the art. At present, the prevailing binding mechanisms and their sensitivity to the numerous process influencing variables like base material hardness, surface, and cleanliness are still the subject of research. In order to ensure sufficient quality despite the lack of process understanding, random destructive testing is carried out during ongoing production. The welding systems’ internal monitoring methods are currently not sufficient to make a prediction of the joint quality achieved. To determine process phases and extract features regarding the joint formation, the observation of process vibrations at the horn, anvil, and the components using laser-doppler-vibrometry, laser triangulation sensors or other suitable external measurement technology is common. These methods require external accessibility to the measurement position, not given in the industrial production environment. In this study, measurements of the high-frequency power signal of the welding system are conducted, and several machine learning models for quality prediction are set up. To ensure the robustness, several disturbances, e.g., changing material hardness and cleanliness, are taken into account. Thus, it will be evaluated to what extent an industrially suitable quality monitoring can be implemented by means of electrical measuring technology and how much more accurate such an external measuring system is compared to the possibilities already available in the welding system.
Funder
Deutsche Forschungsgemeinschaft
RWTH Aachen University
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Reference32 articles.
1. Reisgen U, Stein L (2016) Fundamentals of joining technology welding, brazing and adhesive bonding, English edn. DVS Media, Band 13, Düsseldorf
2. Wodara J (2004) Ultraschallfügen und -trennen. Grundlagen der Fügetechnik. Verlag für Schweißen und verwandte Verfahren, Fachbuchreihe Schweißtechnik, Band 151/1, Düsseldorf
3. SAE/USCAR-38–1:2016–04. Performance specification for ultrasonically welded wire terminations. Berlin: Beuth Verlag GmbH 2016
4. Müller FW, Schiebahn A, Reisgen U (2022) Quality prediction of disturbed ultrasonic metal welds. Journal of Advanced Joining Processes 5:100086. https://doi.org/10.1016/j.jajp.2021.100086
5. Schunk Sonosystems GmbH, Wettenberg. https://www.schunk-sonosystems.com/en/sonosystems-use-case/detailpulse-inverter-module-with-ultrasonically-welded-power-contacts~sa11785. Accessed 10.07.2022
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