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Use of CFD to investigate microchannel
two-phase flows with phase change for
electronic cooling application
Laboratoire de Transfert de Chaleur et de Masse (LTCM),
Ecole Polytechnique Fédérale de Lausanne (EPFL),
EPFL-STI-IGM-LTCM, Station 9, CH-1015 Lausanne
Dr. Mirco Magnini
[email protected]
ANSYS Conference & 11ème Forum CADFEM, 10 septembre 2014, Lausanne, EPFL
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Outline
2/18
1) Presentation:
The Laboratory of Heat and Mass Transfer
On chip cooling technology
Introduction to two-phase flows
2) CFD simulations of two-phase flows: why?
3) A case study: developing the solver (ANSYS Fluent) to
simulate microchannel slug flow boiling
Numerical model development
Validation
Results
4) Conclusions
Use of CFD to investigate microchannel two-phase flows – Dr M. Magnini
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Laboratory of Heat and Mass Transfer (LTCM)
• Ecole Polytechnique Fédérale de Lausanne, Switzerland.
• Director: Prof. John R. Thome.
• Staff: one 1st assistant, 6 post-doc researchers, 7 PhD students.
Main fields of research: two-phase flows in narrow channels (8.8 mm down to
85 mm) for electronic cooling applications
from fundamental physics …
(flow visualization, CFD)
… to the whole system!
(1D flow models, experiments)
http://ltcm.epfl.ch
3/18 Use of CFD to investigate microchannel two-phase flows – Dr M. Magnini
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Two-phase flows in microchannels: applications
Microchannel evaporator with 20 channels 0.45x4.0 mm
Microchannel evaporator sealed on the chip die
Cooling of high power density electronic devices (modern CPUs):
Advantages of two-phase flow cooling:
• Cooling capability: more than 300 W/cm2 (traditional air cooling ≈ 100 W/cm2 )
• Accurate control of the chip temperature (Tmax≈85 °C)
• Positive feedback to hot-spots
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Two-phase flow
When liquid at the saturation temperature is heated,
evaporation begins.
Flow patterns:
Bubbly flow
Slug flow
Annular flow
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CFD simulations of two-phase flows
Interests:
• Have access to fluid and thermal dynamics where experiments can not
• Generate a numerical database useful to test/develop prediction methods for the
most relevant thermal-hydraulic flow parameters (pressure drop, heat transfer,…)
Methodology:
• ANSYS Fluent version 14.5
• Volume Of Fluid method to track the vapor-liquid interface
• User-Defined Functions to implement peculiar two-phase flow effects
• Post-processing with Paraview (visualization) and Matlab (data reduction)
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Case study
Development of ANSYS Fluent standard package to simulate microchannel slug flow
boiling and update the available heat transfer performance prediction methods.
Numerical model development with UDF
Numerical model validation with experimental/analytical solutions
Numerical set-up for microchannel slug flow boiling simulation
Results and comparison with existing models
Development of a new heat transfer model
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Numerical model
The Volume Of Fluid method: cell volume fraction
occupied by a primary phase 0
0 0 0
0 0
1
111
1 1 1 1
0.520.14
0.860.41
0.610.03
0.72
Example: volume fraction field
vapor
liquid
Volume fraction field across a liquid-vapor interface
vapor
liquid
Volume fraction
1,0
0
1
α
if primary phase
if secondary phase
if interface cell
energy source term
TTct
Tc
pt
t
p
p
T
m
u
guuuuu
u
u
volume fraction source term
surface tension force
mass source term
Flow equations: (incompressible, newtonian fluid)
Source terms: User-Defined Functions
8/18 Use of CFD to investigate microchannel two-phase flows – Dr M. Magnini
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Validation (1)
Validation of surface tension model: simulations of adiabatic flow of
elongated air bubbles in water and glycerol liquid flow within a microchannel
(D=0.5 mm), and comparison with in-house experimental results.
Flow domain and boundary conditions
Horizontal circular channel (D=0.5 mm)
2D axisymmetric formulation (no gravity force)
Channel length L=(10-20)D
Liquid inlet velocity and bubble volume from experiments
Schematic of flow domain and boundary conditions
0u
212)( RrUru c
0
z
p 0
r
0
z
u
0p
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Validation (2)
Air-glycerol flow
Air-water flow
Comparison of the bubbles shape for different bubbles volume and liquid velocity
(Blue: experimental, red:numerical)
Air-glycerol flow Air-water flow
In
creasin
g liq
uid
velo
city
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Validation (4)
Validation of the evaporation model: simulation of the growth of a vapor
bubble for different fluids and comparison with an analytical solution
0.1 mm
axis
0.4
mm
0.8 mm
liquidp
8
TL=TSAT( )+5°Cp
8
vapor
TV=TSAT( )p
8
thermal
boundary layer
Schematic of initial and boundary conditions
Results and comparison
Snapshots of a growing bubble
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Slug flow boiling: simulation set-up
Simulation set-up
Uniform computational mesh with about 2 million square cells
Inlet condition: saturated liquid inflow
t>0: vapor bubbles generated with constant frequency
Working conditions
Channel size: D=0.5 mm,
Ltot=(45-60)D, Lheated=22D
Fluid: R245fa
Saturation temperature: Tsat=31 °C
Heat flux: q=5-20 kW/m2
Mass flux G=400-700 kg/(m2s)
Bubble frequency: fbub=72-209 1/s
Inlet vapor quality xin=(1.4-4.2)·10-3
Fig.7: Initial temperature field
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Slug flow boiling: results (1)
Velocity field
Temperature field
sp thermal layer
Bubble wake region Liquid film region
T-Tsat [K]
Streamlines
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Slug flow boiling: results (2)
Comparison of bubble velocity and liquid film thickness with existing prediction methods
Data from simulations also validate the
available prediction methods as
experimental results are not available !
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New heat transfer model (1)
Cooling capability of the two-phase flow: heat transfer coefficient
Best performing prediction method available: Thome et al. (2004)
satw
wtp
TT
qh
Thome et al. (2004) model flow domain decomposition
• Bubble zone: steady-state heat conduction
• Liquid zone: heat convection developing flow
New model developed with CFD results:
New model flow domain decomposition
• Bubble zone: transient heat conduction
• Liquid zone: heat convection recirculating flow
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New heat transfer model (2)
Cooling capability of the two-phase flow: heat transfer coefficient satw
wtp
TT
qh
Thome et al. (2004):
• Bubble zone: steady-state heat conduction
• Liquid zone: heat convection developing flow
New model developed with CFD results:
• Bubble zone: transient heat conduction
• Liquid zone: heat convection recirculating flow
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Conclusions
CFD simulations are an effective tool for investigation of two-phase flows within
microchannels…
… although modifications of the standard solvers are needed to improve accuracy
In absence of experimental data, CFD provides data to validate existing prediction
methods for two-phase flow parameters
CFD results can be used as well to advance existing prediction methods
CFD applied to two-phase flows is useful for fundamental studies
as well as for developing models for design applications
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Merci de votre attention!
Dr. Mirco Magnini
[email protected]
Laboratoire de Transfert de Chaleur et de Masse (LTCM),
Ecole Polytechnique Fédérale de Lausanne (EPFL),
EPFL-STI-IGM-LTCM, Station 9, CH-1015 Lausanne
http://ltcm.epfl.ch
ANSYS Conference & 11ème Forum CADFEM, 10 septembre 2014, Lausanne, EPFL
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Relevant publications list
• M. Magnini, CFD modeling of two-phase boiling flows in the slug flow regime with an
interface capturing technique, PhD Thesis, Università di Bologna, Italy.
(available free at http://amsdottorato.cib.unibo.it/4437/ )
• M. Magnini, B. Pulvirenti and J. R. Thome, Numerical investigation of hydrodynamics
and heat transfer during flow boiling in a microchannel, Int. J. of Heat and Mass Transfer
49, pp. 451-471, 2013.
• M. Magnini, B. Pulvirenti and J. R. Thome, Numerical investigation of the influence of
leading and sequential bubbles on slug flow boiling within a microchannel, Int. J. of
Thermal Sciences 71, pp. 36-52, 2013.
• S. Szczukiewicz, M. Magnini and J. R. Thome, Proposed models, ongoing experiments,
and latest numerical simulations of microchannel two-phase flow boiling, Int. J. of
Multiphase Flow 59, pp. 84-101, 2014.
Use of CFD to investigate microchannel two-phase flows – Dr M. Magnini