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Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 71, 2017 - Issue 10
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Original Articles

Simulation of a temperature drop for the flow of rarefied gases in microchannels

, , & ORCID Icon
Pages 1066-1079 | Received 31 Jan 2017, Accepted 27 Apr 2017, Published online: 16 Jun 2017
 

ABSTRACT

The Direct Simulation Monte Carlo (DSMC) method is widely used to study the flow characteristics of subsonic flow in 2-D microchannels. It is seen from existing numerical studies that the temperature of the flow decreases towards the exit of the microchannel whereas such a drop has not been reported in experimental studies. To resolve this discrepancy, effect of flow parameters such as Knudsen number, aspect ratio and pressure ratio on temperature change is studied systematically using an in-house developed DSMC code. Based on the parametric analysis, a correlation for temperature drop is proposed which predicts the DSMC data within ±15%. A control volume analysis is further carried out to understand the reason for temperature drop in microchannels. The effect of mass diffusion is also modeled. It is found that accounting for mass diffusion improves prediction of mass flow rate but not temperature drop across the microchannel.

Nomenclature

A=

area

AR=

aspect ratio

D=

coefficient of diffusion

d=

molecular diameter

H=

height

h=

enthalpy

kB=

Boltzmann constant

Kn=

Knudsen number

L=

length

m=

molecular mass

=

mass flow rate

n=

number density

P=

pressure

PR=

pressure ratio

R=

specific gas constant

Re=

Reynold’s number

T=

temperature

ΔT=

temperature drop

u=

velocity in x direction

V=

velocity

x=

transverse to wall

y=

normal to wall

Γ=

diffusive flux

λ=

mean free path

ρ=

density

σ=

tangential momentum accommodation coefficient

τ=

shear stress

Subscripts=
c=

cross sectional

g=

gas

i=

inlet

o=

outlet

s=

surface

w=

wall

Nomenclature

A=

area

AR=

aspect ratio

D=

coefficient of diffusion

d=

molecular diameter

H=

height

h=

enthalpy

kB=

Boltzmann constant

Kn=

Knudsen number

L=

length

m=

molecular mass

=

mass flow rate

n=

number density

P=

pressure

PR=

pressure ratio

R=

specific gas constant

Re=

Reynold’s number

T=

temperature

ΔT=

temperature drop

u=

velocity in x direction

V=

velocity

x=

transverse to wall

y=

normal to wall

Γ=

diffusive flux

λ=

mean free path

ρ=

density

σ=

tangential momentum accommodation coefficient

τ=

shear stress

Subscripts=
c=

cross sectional

g=

gas

i=

inlet

o=

outlet

s=

surface

w=

wall

Acknowledgements

The authors are grateful to National PARAM Yuva II Supercomputing Facility (NPSF), Centre for Development of Advanced Computing (C-DAC), Pune, India.

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