The micro-tube heat transfer and fluid flow of aqueous solutions with ethylene glycol.
Lelea, Dorin ; Cioabla, Adrian Eugen ; Laza, Ioan 等
1. INTRODUCTION
The thermal management of the electronic devices and power sources
became the challenging issue in the last decade because of both,
miniaturization and heat transfer rate increasing. The various cooling
solutions have been proposed using both the single and two-phase heat
transfer.
Micro Thermal Systems (MTS), defined as the systems in which the
key size has a length scale of a micrometer, could attain the high heat
transfer coefficients. For instance, they are used as the cooling
devices for LSI chips. On the other hand [mu]--TAS (Micro Total Chemical
Analyzing System), MEMS (Micro Electric--Mechanical Systems) or
bio--chips are some of the examples of MTS (Lelea, 2009).
Koo et al, studied the effects of viscous dissipation on the
temperature field and also on the friction factor using dimensional
analysis and experimentally validated computer simulations for three
different working fluids (water, methanol and iso-propanol) in
micro-tubes and micro-channels. The variation of temperature with the
Reynolds number was studied for rectangular channels and there was made
a comparison between the experimental data and the computational results
(Koo, 2004).
Celata et al, analyzed the issue of scaling effects that cause
influential effects when channel geometry is reduced below a certain
limit. The results were connected with the role of viscous heating in
micro-channel flows, it's occurrence in the Navier Stokes equations
and also there was made an experimental validation for verifying
it's presence in practice. The experimental results were compared
with the values existing in literature for compliance (Celata, 2006).
Hooman et al, analyzed theoretically the role of viscous
dissipation on forced convection, with temperature-dependent viscosity
and thermal conductivity, through microchannels and micropipes, under
isoflux wall boundary condition. The analytical results can be used for
macrochannels where continuum assumption, and hence, no-slip condition
is still valid (Hooman, 2009; Hooman, 2010).
Tunc and Bayazitoglu investigated the convective heat transfer for
steady laminar hydrodynamically developed flow in microtubes with
temperature jump at the wall and viscous heating conditions. It was
concluded that Nusselt number takes higher values for cooling and lower
for heating (Tunc, 2001).
2. SIMULATION PART AND DISCUSSION
2.1 Establishing the relations for Nu, Po, Re criteria and Br
number
The thermal properties of Ethylene Glycol are presented below:
Because Ethylene Glycol is an aqueous solution, the general form
for thermal conductivity and specific heat is :
k = [c.sub.p] = A + B x T + C x [T.sup.2]
Where : T, K, temperature
A, B, C, coefficients with given values (***)
The following set of partial differential equations is used to
describe the studied phenomena, considering the variable thermo-physical
properties of the fluid and viscous dissipation:
Continuity equation:
[partial derivative]([rho](T) x u)/[partial derivative]z + 1/r
[partial derivative](r x [rho](T) x v)/[partial derivative] = 0 (1)
Momentum equation:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (2)
Energy equation:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (3)
Where the viscous dissipation term is defined as:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (4)
The heat transfer coefficient
h = q/[t.sub.w] - [t.sub.b] (5)
The Brinkman number for constant wall heat flux is defined as:
Br = [u.sup.2.sub.m] x [mu]/q x [D.sub.i] (6)
Where:
[c.sub.p], J/kg K, specific heat
D, m, tube diameter
h, W/[m.sup.2] K, heat transfer coefficient
k, W/mK, thermal conductivity
Nu, Nusselt number
Po, Poiseuille constant
R, m, tube radius
Re, Reynolds number
T, K, temperature
u, v, m/s, velocity components
x, z, spatial coordinates
Greek symbols
[mu], Pa s, viscosity
[rho], kg/[m.sup.3], density
The partial differential equations (1)-(4) together with boundary
conditions, are solved using the finite volume method described in
(Patankar, 1980). First, the parabolic flow field condition is
considered and the velocity field is solved. The temperature field, as a
conjugate heat transfer problem, was then solved as the elliptic problem
using the obtained velocity field. As a consequence of the temperature
dependent fluid properties, iterative procedure is needed to obtain the
convergence of the fluid properties (viscosity, thermal conductivity,
density and specific heat capacity) through the successive solution of
the flow and temperature field. Further details regarding the numerical
code are presented in (Lelea, 2007).
2.2 Pressure drop and heat transfer coefficient variation
There were analyzed the pressure drop and variation for the heat
transfer coefficient for three different concentrations of aqueous
solutions of Ethylene Glycol (30%, 40% and 50%), considering heating and
cooling regimes for a value of 0.5 for the Brinkman number (+0.5 for
heating regime and -0.5 for cooling regime).
The obtained results are presented in Figures 1 and 2.
[FIGURE 1 OMITTED]
[FIGURE 2 OMITTED]
3. CONCLUSIONS
The numerical model for heat and fluid flow through the pipes,
considering the viscous heating of the fluid. The aqueous solutions of
Ethylene Glycol (30%, 40% and 50%) were considered as the working fluid.
The Brinkman number is used to estimate the viscous dissipation effect
with Br = 0.5 (both for heating and cooling. The following conclusions
are outlined:
* Both the heat transfer coefficient and pressure drops are
influenced by the viscous heating
* Different behaviours of the covered parameters are observed for
heating or cooling of the tube wall.
* In the case of heat transfer coefficient the boundary layer
evolution of the heat transfer coefficient is observed regardless the
Ethylene Glycol Vol% in water
* The Ethylene Glycol Vol% in water slightly influences the heat
transfer coefficient during the heating case
* Contrary to heating, during the cooling case the heat transfer
coefficient is decreasing as the Vol% is increasing
4. ACKNOWLEDGMENT
This work was supported by CNCSIS -UEFISCSU, project number 670
PNII--IDEI 938/2008.
5. REFERENCES
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