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Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 70, 2016 - Issue 2
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Original Articles

An investigation on the flow and heat transfer characteristics of nanofluids by nonequilibrium molecular dynamics simulations

, , &
Pages 152-163 | Received 27 Jan 2016, Accepted 11 Mar 2016, Published online: 17 Aug 2016
 

ABSTRACT

The flow and heat transfer characteristics of nanofluids are investigated by nonequilibrium molecular dynamics simulations. Both the effect of chaotic movements of nanoparticle (CMN) on flow properties and its resulting heat transfer enhancement are analyzed. Results show that compared with the base fluid, the effective thermal conductivity of nanofluids is increased, and the increase ratio in the shear flow field is much higher than that in the zero-shear flow field. Based on the models built in this paper, the contributions of increased thermal conductivity and CMN to the heat transfer enhancement of nanofluids are 49.8–68.6% and 31.4–50.2%, respectively.

Nomenclature

Ar=

argon atom

CMN=

chaotic movement of nanoparticle

Cu=

copper atom

D=

diameter of nanoparticle

f1=

contribution of increased thermal conductivity

f2=

contribution of CMN

h=

mean enthalpy

=

unit tensor

=

heat flux vector

kB=

Boltzmann constant

m=

atom mass

N=

total number of system atoms

Nl=

number of atoms in layer l

q=

computed heat flux

q0=

added heat flux

Δq=

friction-induced heat

rij=

distance between atoms i and j

Tl=

temperature of layer l

v=

shear velocity

V=

system volume

=

center-of-mass velocity of layer l

=

velocity of atom

ε=

energy parameter

λ=

effective thermal conductivity

σ=

length scale

φ=

LJ potential

Subscripts=
base=

base fluid

nano=

nanofluid

Nomenclature

Ar=

argon atom

CMN=

chaotic movement of nanoparticle

Cu=

copper atom

D=

diameter of nanoparticle

f1=

contribution of increased thermal conductivity

f2=

contribution of CMN

h=

mean enthalpy

=

unit tensor

=

heat flux vector

kB=

Boltzmann constant

m=

atom mass

N=

total number of system atoms

Nl=

number of atoms in layer l

q=

computed heat flux

q0=

added heat flux

Δq=

friction-induced heat

rij=

distance between atoms i and j

Tl=

temperature of layer l

v=

shear velocity

V=

system volume

=

center-of-mass velocity of layer l

=

velocity of atom

ε=

energy parameter

λ=

effective thermal conductivity

σ=

length scale

φ=

LJ potential

Subscripts=
base=

base fluid

nano=

nanofluid

Acknowledgment

This work is supported by National Natural Science Foundation of China (Grant No. 51476019, 51276031, and 51376002).

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