Sensitivity of pore collapse heating to the melting temperature and shear viscosity of HMX

被引:40
作者
Kroonblawd, Matthew P. [1 ]
Austin, Ryan A. [2 ]
机构
[1] Lawrence Livermore Natl Lab, Phys & Life Sci Directorate, Livermore, CA 94550 USA
[2] Lawrence Livermore Natl Lab, Engn Directorate, Livermore, CA 94550 USA
关键词
Hot spots; Melting; Multiscale modeling; Molecular crystals; Shock waves; Momentum transport; COEFFICIENTS; SIMULATIONS; MECHANISMS; PRESSURE; CURVE;
D O I
10.1016/j.mechmat.2020.103644
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A multiscale modeling strategy is used to quantify factors governing the temperature rise in hot spots formed by pore collapse from supported and unsupported shock waves in the high explosive HMX (octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine). Two physical aspects are examined in detail, namely the melting temperature and liquid shear viscosity. All-atom molecular dynamics simulations of phase coexistence are used to predict the pressure-dependent melting temperature up to 5 GPa. Equilibrium simulations and the Green-Kubo formalism are used to obtain the temperatureand pressure-dependent liquid shear viscosity. Starting from a simplified continuum-based grain-scale model of HMX, we systematically increase the complexity of treatments for the solid-liquid phase transition and liquid shear viscosity in simulations of pore collapse. Using a realistic pressure-dependent melting temperature completely suppresses melting for supported shocks, which is otherwise predicted when treating it as a constant determined at atmospheric pressure. Alternatively, melt pools form around collapsed pores when the pressure (and melting temperature) are reduced during the release stage of unsupported shocks. Capturing the pressure dependence of the shear viscosity increases the peak temperature of melt pools by hundreds of Kelvin through viscous work. The complicated interplay of the solid-phase plastic work, solid-liquid phase transition, and liquid-phase viscous work identified here motivate taking a systematic approach to building increasingly complex grain-scale models.
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页数:12
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