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

被引:38
|
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.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Crystal-scale modelling of pore collapse in cyclotetramethylene tetranitramine (HMX) under different shock strengths
    Wang, XinJie
    Duan, ZhuoPing
    Bai, Zhiling
    Huang, FengLei
    MECHANICS OF MATERIALS, 2022, 174
  • [22] Temperature and Viscosity Tune the Intermediates during the Collapse of a Polymer
    Majumder, Suman
    Christiansen, Henrik
    Janke, Wolfhard
    MACROMOLECULES, 2024, 57 (22) : 10586 - 10599
  • [23] Shear localization as a damage mechanism in pore collapse under shock compression
    Lovinger, Z.
    Kositski, R.
    INTERNATIONAL JOURNAL OF IMPACT ENGINEERING, 2024, 193
  • [24] Heating rate dependence of the shear viscosity of a finemet glassy alloy
    Khonik, VA
    Ohta, M
    Kitagawa, K
    SCRIPTA MATERIALIA, 2001, 45 (12) : 1393 - 1400
  • [25] Does shear heating of pore fluid contribute to earthquake nucleation?
    Segall, Paul
    Rice, James R.
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2006, 111 (B9)
  • [26] Viscosity of glass between the strain point and melting temperature
    Lillie, HR
    JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 1931, 14 (07) : 502 - 511
  • [27] Continuum models for meso-scale simulations of HMX (1,3,5,7-tetranitro-1,3,5,7-tetrazocane) guided by molecular dynamics: Pore collapse, shear bands, and hotspot temperature
    Nguyen, Yen Thi
    Okafor, Chukwudubem
    Zhao, Puhan
    Sen, Oishik
    Picu, Catalin R.
    Sewell, Tommy
    Udaykumar, H. S.
    JOURNAL OF APPLIED PHYSICS, 2024, 136 (11)
  • [28] Sensitivity of shrinkage and collapse functions involved in pore formation during drying
    Khalloufi, Seddik
    Almeida-Rivera, Cristhian
    Jansen, Jo
    Van-Der-Vaart, Marcel
    Bongers, Peter
    21ST EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2011, 29 : 21 - 25
  • [30] The flow of a variable viscosity fluid between parallel plates with shear heating
    Myers, T. G.
    Charpin, J. P. F.
    Tshehla, M. S.
    APPLIED MATHEMATICAL MODELLING, 2006, 30 (09) : 799 - 815