Formulation of the Rice-Walsh equation of state based on Shock Hugoniot data for porous metals

• Published in: Journal of applied physics 2016-05, Vol.119 (19)
• Main Author: Nagayama, K.
• Format: Article
• Language: English
• Subjects: ALUMINIUM; Aluminum; Applied physics; APPROXIMATIONS; CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; COMPATIBILITY; COMPRESSION; CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; COPPER; DENSITY; DIAGRAMS; Empirical analysis; EQUATIONS OF STATE; Gruneisen parameter; Hugoniot curves; Mathematical analysis; POROSITY; POROUS MATERIALS; Porous metals; PRESSURE DEPENDENCE; TEMPERATURE DEPENDENCE; THERMODYNAMICS
• ISSN: 0021-8979; 1089-7550
• DOI: 10.1063/1.4950881

The dimensionless material parameter R introduced by Wu and Jing into the Rice-Walsh equation of state (EOS) has been deduced from the LASL shock Hugoniot data for porous Al and Cu. It was found that the parameter R/p decays smoothly with shock pressure p and displays small experimental scatter in the high pressure region. This finding led to the conclusion that the parameter has only a weak temperature dependence and is well approximated by a function of pressure alone, and the Grüneisen parameter should be temperature dependent under compression. The thermodynamic formulation of the Rice-Walsh EOS for Al and Cu was realized using the empirically determined function R(p) for each material and their known shock Hugoniot. It was then possible to reproduce porous shock Hugoniot for these metals. For most degrees of porosity, agreement between the porous data and the calculated Hugoniots using the empirical function described was very good. However, slight discrepancies were seen for Hugoniots with very high porosity. Two new thermal variables were introduced after further analysis, which enabled the calculation of the cold compression curve for these metals. The Grüneisen parameters along full-density and porous Hugoniot curve were calculated using a thermodynamic identity connecting R and the Grüneisen parameter. It was shown that the Grüneisen parameter is strongly temperature dependent. The present analysis suggested that the Rice-Walsh type EOS is a preferable choice for the analysis with its simple form, pressure-dependent empirical Wu-Jing parameter, and its compatibility with porous shock data.