Abstract

Microjetting is induced by the interaction between incident shock wave and material free surface. Moreover, spike velocity is one of the most important parameters to quantify the microjetting processes. The spike velocity over a wide range of shock and surface conditions for aluminum and tin is achieved via systematical Eulerian peridynamic simulations. The four popular spike velocity models are assessed according to the simulation data. The results indicate that the model proposed by Dimonte et al. based on Richtmyer–Meshkov instability (RMI) mechanism is in best agreement with the simulated spike velocities. The further analysis highlights that the dependence of adiabatic index on material states should be taken into account because it can impact the RMI flows. Then an improved spike velocity model is proposed and the comparative investigations indicate that it exhibits an overall better prediction compared to the original velocity model.

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