Numerical simulation strategies and test setup for resistance spot welding process with motion overlay

The continuing trend of lightweight construction within the industry requires joining methods for lightweight materials, such as aluminium alloys, that provide a safe and reliable result. One of these processes is resistance spot welding. Its high level of automation and efficiency lead to being one...

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Veröffentlicht in:Welding in the world 2017, Vol.61 (1), p.35-46
Hauptverfasser: Heilmann, Stefan, Mathiszik, Christian, Merx, Marcel, Müller, Jens, Zschetzsche, Jörg, Ihlenfeldt, Steffen, Füssel, Uwe
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Sprache:eng
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Zusammenfassung:The continuing trend of lightweight construction within the industry requires joining methods for lightweight materials, such as aluminium alloys, that provide a safe and reliable result. One of these processes is resistance spot welding. Its high level of automation and efficiency lead to being one of the most widely used joining methods. The current problem in resistance spot welding of aluminium alloys is the high wear of the electrodes. One reason is the insulating effect of the aluminium oxide layer. The high electrical resistance of the oxide results in local temperature rise and an increased wear on the electrodes. In the extreme, after less than 100 spot welds, the process reliability is no longer guaranteed. A way to reduce the wear is the mechanical destruction of the oxide layer. One possibility is to rotate the welding gun and thus the electrodes around the z -axis, as KUKA’s RoboSpin realizes it. Another approach is currently investigated at Technische Universität Dresden. The focus is on frictionless and frictional movement of the electrode in the form of rotations around the y -axis and movement in the x-direction. For this purpose, a new experimental setup has been developed, which provides all the required degrees of freedom. To gain a better insight into the processes and the contexts of action, simulation models are created based on the finite element method with ANSYS multi-physics and implemented as a network model in MATLAB/Simulink. This paper introduces the new process kinematics, describes the experimental setup and shows first simulation results to perform proof of concept and model verification.
ISSN:0043-2288
1878-6669
DOI:10.1007/s40194-016-0403-z