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A density-adaptive SPH method with kernel gradient correction for modeling explosive welding

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Abstract

Explosive welding involves processes like the detonation of explosive, impact of metal structures and strong fluid–structure interaction, while the whole process of explosive welding has not been well modeled before. In this paper, a novel smoothed particle hydrodynamics (SPH) model is developed to simulate explosive welding. In the SPH model, a kernel gradient correction algorithm is used to achieve better computational accuracy. A density adapting technique which can effectively treat large density ratio is also proposed. The developed SPH model is firstly validated by simulating a benchmark problem of one-dimensional TNT detonation and an impact welding problem. The SPH model is then successfully applied to simulate the whole process of explosive welding. It is demonstrated that the presented SPH method can capture typical physics in explosive welding including explosion wave, welding surface morphology, jet flow and acceleration of the flyer plate. The welding angle obtained from the SPH simulation agrees well with that from a kinematic analysis.

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Acknowledgements

This work has been supported by the National Natural Science Foundation of China (Grant Nos. U1530110 and 11172306).

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Authors and Affiliations

  1. BIC-ESAT, College of Engineering, Peking University, Beijing, 100187, China

    M. B. Liu & Z. L. Zhang

  2. State Key Laboratory for Turbulence and Complex Systems, Peking University, Beijing, 100871, China

    M. B. Liu

  3. Institute of Fluid Mechanics and Environmental Physics in Civil Engineering, Leibniz Universität Hannover, Appelstraße 9a, 30167, Hannover, Germany

    D. L. Feng

Authors
  1. M. B. Liu
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  2. Z. L. Zhang
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  3. D. L. Feng
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Correspondence to M. B. Liu.

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Liu, M.B., Zhang, Z.L. & Feng, D.L. A density-adaptive SPH method with kernel gradient correction for modeling explosive welding. Comput Mech 60, 513–529 (2017). https://doi.org/10.1007/s00466-017-1420-5

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  • DOI: https://doi.org/10.1007/s00466-017-1420-5

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