A predictive and reliable Eulerian model to compute the interface kinetics of magnetic pulse welding

Li, Jishuai;Raoelison, Rija Nirina;Sapanathan, Thaneshan;Rachik, Mohamed
(2019) NUMIFORM 2019: The 13th International Conference on Numerical Methods in Industrial Forming Processes — Location: New Hampshire, USA (23.June.2019)

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J_Li_et_al_Numiform2019-ApredictiveandreliableEulerianmodeltocomputetheinterfacekineticsofmagneticpulsewelding.pdf
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Authors
  • Li, JishuaiUniversity of Technology of Compiègne, France
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  • Raoelison, Rija NirinaUniversity of Technology of Compiègne, France
    Author
  • Sapanathan, Thaneshanorcid-logoUCLouvain
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  • Rachik, MohamedUniversity of Technology of Compiègne, France
    Author
Abstract
This work aims to investigate the formation and evolution of the interfacial features which occur during a high-speed impact welding using numerical simulation. A robust numerical modelling based on Eulerian technique is developed to predict the interface kinetics of magnetic pulse welding (MPW). The model has been originally validated for similar material welding and in this study we extend the investigation to an aluminum/copper welding. Results of the kinetics along the welding interface including metal jet emission, wake, vortex, and wave formation are successfully predicted, and the predictions are in good agreement with the experimental observations. Moreover, the metal jet was mainly composed of the lower density metal, i.e. aluminum. It was also observed that the combination of impact velocity and impact angle affects the interface instabilities. The Eulerian model demonstrates its ability to predict the complex interfacial behaviors and the corresponding thermomechanical interactions during the magnetic pulse welding process.
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Li, J., Raoelison, R. N., Sapanathan, T., & Rachik, M. (2019). A predictive and reliable Eulerian model to compute the interface kinetics of magnetic pulse welding. Proceedings of NUMIFORM 2019: The 13th International Conference on Numerical Methods in Industrial Forming Processes, p. 635-638. https://hdl.handle.net/2078.5/224638