St. Cui et al., NONEQUILIBRIUM MOLECULAR-DYNAMICS SIMULATION OF THE RHEOLOGY OF LINEAR AND BRANCHED ALKANES, International journal of thermophysics, 19(2), 1998, pp. 449-459
Liquid alkanes in the molecular weight range of C-20-C-40 are the main
constituents of lubricant basestocks, and their rheological propertie
s are therefore of great concern in industrial lubricant applications.
Using massively parallel supercomputers and an efficient parallel alg
orithm, we have carried out systematic studies of the rheological prop
erties of a variety of model liquid alkanes ranging from linear to sin
gly branched and multiply branched alkanes. We aim to elucidate the re
lationship between the molecular architecture and the viscous behavior
. Nonequilibrium molecular dynamics simulations have been carried out
for n-decane (C10H22), n-hexadecane (C16H34), n-tetracosane (C24H50),
10-n-hexylnonadecane (C25H52), and squalane (2, 6, 10, 15, 19, 23-hexa
methyltetracosane, C-30 H-62). At a high strain rate, the viscosity sh
ows a power-law shear thinning behavior over several orders of magnitu
de in strain rate, with exponents ranging from - 0.33 to - 0.59. This
power-law sheer thinning is shown to be closely related to the orderin
g of the molecules. The molecular architecture is shown to have a sign
ificant influence on the power-law exponent. At a low strain rate, the
viscosity behavior changes to a Newtonian plateau, whose accurate det
ermination has been elusive in previous studies. The molecular order i
n this regime is essentially that of the equilibrium system, a signatu
re of the linear response. The Newtonian plateau is verified by indepe
ndent equilibrium molecular dynamics simulations using the Green-Kubo
method. The reliable determination of the Newtonian viscosity from non
equilibrium molecular simulation permits us to calculate the viscosity
index for squalane. The viscosity index is a widely used property to
characterize the lubricant's temperature performance, and our studies
represent the first approach toward its determination by molecular sim
ulation.