Abstract A reliable data treatment method is critical for viscosity measurements using the disturbance amplitude damping method of shock waves. In this paper the finite difference method is used to obtain the numerical solutions for the disturbance amplitude damping behaviour of the sinusoidal shock front in a flyer-impact experiment. The disturbance amplitude damping curves are used to depict the numerical solutions of viscous flow. By fitting the experimental data to the numerical solutions of different viscosities, we find that the effective shear viscosity coefficients of shocked aluminum at pressures of 42, 78 and 101 GPa are (1500±100) Pa·s, (2800±100) Pa·s and (3500±100) Pa·s respectively. It is clear that the shear viscosity of aluminum increases with an increase in shock pressure, so aluminum does not melt below a shock pressure of 101 GPa. This conclusion is consistent with the sound velocity measurement.
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11002120 and 10974160).
Cite this article:
Ma Xiao-Juan (马小娟), Liu Fu-Sheng (刘福生), Zhang Ming-Jian (张明建), Sun Yan-Yun (孙燕云) Viscosity of aluminum under shock-loading conditions 2011 Chin. Phys. B 20 068301
[1]
Miller G H and Ahrens T J 1991Rev. Mod. Phys.63 919
[2]
Buffett B A 1997Nature388 571
[3]
Secco R A 1995 Viscosity of the Outer Core (New York: American Geophysical Union) p. 159
[4]
Mineev V N and Funtikov A I 2004Phys. Usp.47 671
[5]
Xi F and Cai L C 2009Chin. Phys. B18 2898
[6]
Sakharov A D, Zaidel R M and Mineev V N 1965Sov. Phys. Doklady.9 191
[7]
Ma X J, Liu F S Li Y L, Zhang M J, Li Y H, Sun Y Y, Peng X J and Jing F Q 2010Acta Phys. Sin.59 4761 (in Chinese)
[8]
Liu F S, Yang M X, Li Q W, Chen J X and Jing F Q 2005Chin. Phys. Lett.22 747
[9]
Li Y L, Liu F S, Ma X J, Li Y L, Yu M, Zhang J C and Jing F Q 2009Rev. Sci. Instrum.80 139
[10]
Li Y L, Liu F S, Zhang M J, Ma X J, Li Y L and Zhang J C 2009Chin. Phys. Lett.26 038301
[11]
Mader C L 1998 Explosives and Propellants 2nd edn. (San Francisco: CRC Press) p. 327
[12]
Vonneumann J and Richtmyer R D 1950J. Appl. Phys.21 232
[13]
Ma X J, Liu F S and Jing F Q 2010Sci. Chin. Ser. G53 802
[14]
Furnish M B, Chhabildas L C and Reinhart W D 1999Int. J. Imp. Eng.23 261
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