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EMERGING THERMAL CHALLENGES IN ELECTRONICS
DRIVEN BY PERFORMANCE, RELIABILITY AND ENERGY
EFFICIENCY
Yogendra JoshiG. W. Woodruff School of Mechanical Engineering
Georgia Institute of TechnologyAtlanta, GA 30332
Sponsors: Defense Advanced Research Projects Agency, Semiconductor Research Corporation, Office of Naval Research
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OutlineRoadmap trends and recent initiatives
ITRSNEMIDARPA-HERETIC
Thermal management solutions for high performance microprocessors
Two-phase thermosyphonsStacked microchannels
Thermal characterization for high reliability power electronics modulesEnergy efficient thermal management
Data center challenges
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International Technology Roadmap For Semiconductors - 2001
Projections from 2001 (0.13 µm) to 2016 (0.022 µ m)1
Commodity products (< $300)
Handheld products (< $1,000)
Cost/Performance products (< $3000)
High Performance products (> $3000)
Automotive
n/a
2.4-3
130-288
14-27
61-158
(Micro-controllers, disk drives, displays)
(Mobile products, cellular telecommunications)
(Notebooks, desktops, PCs)
(High end work stations, servers, avionics)
(Under-the-hood sensors, passenger products)
W Junction Ambient mm2 MHz
Power2 TemperatureLimits (oC) Size Perf.Chip Features
2. Single chip packages
125 55
100 55
85 45
85 45
150 -40-125
57-90
57-90
170-307
310-310
60-150
415-10,000
1,700-29,000
1,700-29,000
60-234
415-10,000
Chip Features
1. Excluding memory
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Microprocessor Power Density
PowerDensity,W/cm2
50
10
Device miniaturization has led to integration of cache contained on a multi-chip package level to one contained on the microprocessor die resulting inhigh CPU core power density - e.g. 60% of the 20 mm by 20 mm micro-processor die may contain the CPU core, the rest is made of cache
Jan 95 Jan 00
Microprocessor with integrated 2nd level cache
Data provided by Mr. C. Patel, Hewlett-Packard Laboratories, Palo Alto, CA, June 1999.
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Pre-metal dielectric
Tungsten contact plug
Copper conductor
Dielectric
Etch stop layer
Dielectric diffusion barrier
Passivation
Silicon with transistors
Local (2)
Intermediate (up to 4)
Global(up to 5) Via
Representative cross-section of interconnect structure (based on ITRS 2001)
• Characterized by many interconnect levels (11 levels for 22 nm node)
• New materials being introduced at a significantly higher pace
• Interconnect nets distributing clock signals and power can dissipate up to 40-50% of the power on the chip (~ 120 W)
Overview of Multilevel Interconnects
Thermal Issues in Future Technology Nodes
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NEMI Roadmap-Thermal Needs
Improved thermal interfaces, Thermal spreaders, Mechanically robust packages that minimize the thermal resistance path to air,Thermal integration with EMC shielding, Low cost, compact and reliable water cooling, Low cost, compact, reliable and efficient refrigeration, Low cost, compact, and reliable dielectric liquid cooling, High heat flux, efficient thermoelectric cooler, cooling Abatement of heat load, impact on installation, Advanced modeling tools
High Performance
Improved thermal interfaces, Thermal spreaders, Thermal integration with EMC shielding, Low cost, compact and reliable water cooling, Low cost, compact, reliable and efficient refrigeration, High heat flux, efficient thermoelectric cooler, High performance air cooling solutions, Advanced modeling tools
Cost/Performance
No significant improvements needed as long as battery power remains constrained. Breakthroughs in plastic batteries could necessitate more aggressive thermal solutions (e.g. improved thermal interfaces, thermal spreaders, package integrated heat sinks, etc.)
Hand Held
RequirementsProduct
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0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
0.01 0.1 1 10
die
die
khLBi =Biot number
ThermalResistance
(oC/W)
Die With Convection on All Sides
ForcedGases
Freeliquids
Forcedliquids
Phasechange
Typical air-cooled heat sinkcase-to-ambient thermal
resistance (Rc-a)Acceptable resistance values achievable only by forced liquid cooling and phase change cooling
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Air velocity: 1. 100 - 300 ft/min; 2. 200 - 500 ft/min; 3. 800 ft/min
Increasing Size of Air-Cooled Heat SinksV
olum
e of
Hea
t Sin
k (c
m3 )
Heat Dissipated (W)0 10 20 30 40 50 60
0
50
100
150
200
250
300
Intel Mobile Pentium 90 MHz
(1998)
AMD K-6 2® 1
Mobile300 MHz
(1999)
Cyrix M II333 MHz
(1997)
AMD K-6 2® 1
450 MHz(1998)
Motorola Power PC 604e(1997)
AMD K-6 III2
450 MHz(1999)
Sun Ultra Sparc II2 480 MHz
(1998)
Intel Pentium II
Xeon2
450 MHz(1998)
Digital 211641
533 MHz (1997)
Apple G4 (2000)
400
80
AMD Athlon2
1.2 GHz(2000)
AMD Athlon XP3
2000+ MHz(2002)
Intel Pentium-IV3
2 GHz(2001)
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Transport Properties of Various Liquid Coolants
Property Perflourinated Liquid DesignationFC-87 FC-72 FC-84 FC-77 FC-43 Water
Boiling point, oC
Specific heat, J/kg K
Thermal conductivity,W/m K
Surface tension, N/m
Dynamic viscosity, kg/m sec
30
5.5x10-2
8.9x10-3
4.2x10-4
1088
56
1088
5.45x10-2
8.5x10-3
4.5x10-4
83
1130
5.35x10-2
7.7x10-3
4.2x10-4
100
1172
5.7x10-2
8.0x10-3
4.5x10-4
172
1255
6.5x10-2
4.5x10-3
3.9x10-4
100
4184
6.8x10-1
5.9x10-2
2.7x10-4
Danielson, R.D., Tousignant, Bar-Cohen, A., “Saturated pool Boiling Charactersitics of Commercially Available Perflourinated Liquids”, Proc. ASME/JSME Thermal Eng. Joint Conf., Vol.3, pp. 419-430, 1987
(Atmospheric Pressure)
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Thermosyphon Incorporating Enhanced StructureDetailed view of evaporator
g
Dimensions in mm
201
160
Plate-fin condenser
Con
dens
ed
liqui
d
Evaporator
9090
80
60
Vapor
B
L
Enhancedmicrostructure
Top cap
Bottom cap
Base plate
FC-72
Cartridge heater
Hs
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Examples of Structures in Copper (wire EDM)
Magnification = 100XMagnification = 100XMagnification = 5 X
• A 100 µm brass wire was used to cut these channels in a 1 mm thick copper plate.
• An overburn of 100 µm results in a final channel width of 200 µm.
Top view Cross-sectional view
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Wet Chemically Etched Structures
• A set of master masks was fabricated using a high resolution laser printer.• The pattern was transferred to a silicon wafer (<110> orientation) using
photolithography.• The patterned wafer was then etched in a 40 % (by weight) KOH solution,
at 75oC for approximately 2 hours.• Process ideal for mass production, but needs special wafers (<110>
orientation) and at least a class 100 clean room.
Top view Cross-sectional view
Magnification - 10 XMagnification - 2.5 X
Channel size = 60 µm
Pores(60 x 60 µm)
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Thermosyphon Prototype for Desktop Computer (Implemented with HP Labs and Thermacore)
Major components – evaporator, condenser and connection tubings.
Working Fluid – water, dielectric liquid (PF5060).
Evaporator – has boiling enhancement structure.
Condenser – plate-fins cooled by forced convection.
Fluid transport takes place in a closed loop.
Cooling performance can be monitored by powering the chip at a prescribed percentage of maximum power.
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Final Configuration of the Thermosyphon
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Effect of Working FluidsSystem Charged with Water
20 30 40 50 60 70 80 90 1000
10
20
30
40
50
60
Evaporator Bottom ∆T (Evaporator to Ambient)
Tem
pera
ture
(o C)
Power (W)
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Effect of Inclination on the ThermosyphonEvaporator Temperature vs. Tilting Angle
Fluid – PF5060
-60 -40 -20 0 20 4060
70
80
90
100
110
120
130
Evap
orat
or T
empe
ratu
re (o C
)
Tilting Angle (o)
Dry-out
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Liquid-Cooling using Microchannel Heat Sink
Large heat transfer coefficientsH
H
dhconst
kdhNu 1
∝⇒=⋅
=
A-AA
AHeat Source
Inlet Flow Outlet Flow
Cover Plate
Manifold Block
Silicon Substrate
Wc
Hc
cc
ccH HW
HWd
+=
2
Mass production made possible by IC microfabrication technique
~ 105 W/(m2 oC)
Small volume ~ several cm3 For water cooled silicon microchannel heat sink of Wc=50 µm, Hc=302 µm and ∆P=2.14 bar, thermal resistance=0.09 oC/(W/cm2) (Tuckerman, 1984)
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Challenges in Microchannel Liquid Cooling of Microelectronics
( )3
2/11Re21
c
cc
c WnHWQ
Hf
LP
⋅+⋅⋅
=∆ µ
• Temperature non-uniformity
∆P=2.14 bar to achieve thermal resistance of 0.09 oC/(W/cm2) (Tuckerman, 1984)
• Flow distribution
For fully developed laminar flow and constant heat flux, chip temperature increases linearly from inlet to outlet.
Tw
Distance from inlet
Tf
• Large pressure drop
• Accurate prediction of Transport in microchannelManifold design is challenging due to the constrained space
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Stacked Microchannel Heat Sink
Stacked Micro-channels
Micro-pump
flip-chip
Insulator cap
Heat sink to ambient
PWB
Encapsulant
Hc
WcWf
t
Schematic illustration of the single phase flow loop with a stacked microchannel heat sink
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fixed flow rate (0.83x10-6 m3/s or
50 ml/min)0.920.940.960.98
11.021.041.061.081.1
1 2 3 4 5Number of layers
1θθ
Variation of thermal resistance
Resistance Network Analysis
0
2
4
6
8
10
1 2 3 4 50
0.002
0.004
0.006
0.008Pressure droppumping power
Number of layers
Pres
sure
dro
p (k
Pa)
Pum
ping
pow
er (W
/cm
2 )
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Different Microchannel Configurations
xy
z
Not to scale
Wf
Hc
Wc
q”
L
Wf
Hc
Wc
q”
L
Wf
Hc
Wc
q”
L
Wf
Hc
Wc
q”
L
(a) SGMC (b) STMC-PL
(c) STMC- CC (d) STMC-SE
Hc=300 µm
Wc=25 µm
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Wall Temperature Distribution
300
305
310
315
320
325
0 0.005 0.01 0.015X (m)
Tw(K
) STMC-CC STMC-PLSGMC
STMC-SE
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Fabrication of Stacked Microchannels
Stacked two-layered micro-channels using precision milling in copper, 1cmx1cm, Hc=450 µm,Wc=275 µm, Wf=275 µm)
Magnified surface image of microchannels in silicon by wafer dicing, Hc=350 µm, Wc=140 µm, Wf=260 µm)
Wc
Wf
Approaches to bond microchannels into a stack
• Eutectic bonding (aluminum-silicon)
• Low temperature epoxy
• 63Sn-37Pb soldering (copper)
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Concurrent Optimization-Based Design of Reliable Power Electronic (PEBB) Modules
Collaborators: S. Azarm, D. Gopinath, R. Iyengar, P. McCluskey,
B. Reynolds, P. Sandborn, T. K.Trichy
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ApproachReliability Thermal
Integration Software
Material & Process Cost
Optimization
Wei
ght
CostMinimize
Min
imiz
e
Optimized Set of Designs
Selected Design
Mean = $73.59
70.08 73.59 77.11
0
0.2
0.4
0.6
0.8
1
1.2
1 2 3 4 5
ThermalReliabilityCostiSIGHT
Hysteresis Loop Stabilization
0.00
10.00
20.00
30.00
40.00
50.00
60.00
0 0.02 0.04 0.06 0.08 0.1 0.12
Total Equivalent Strain
Von
Mis
es S
tress
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Desired Outcome
0
0.2
0.4
0.6
0.8
1
1 2 3 4 5 6 7 8 9 10 11 12 13
Temperature
TTF
Cost
Solution Number
Nor
mal
ized
Obj
ectiv
e Va
lue
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Reliability Assessment
AEPS Module Relevant Failure Mechanisms
Die attach/solder fatigue, DBC cracking, SDDV, TDDB, Die cracking
•Life prediction is crucial to overall design optimization because of trade-offs between product cost, performance and reliability.
•It is important to model and consider multiple failure mechanisms each with its own dependence on geometry, materials, processing and environmental stresses.
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Reliability Module-Integration Details•Obtains geometrical parameters,material properties and junction temperature.•Sends time to failure.
Reliability Thermal
Integration Software
Material & Process Cost
OptimizationW
eigh
t
CostMinimize
Min
imiz
e
Optimized Set of Designs
Selected Design
Mean = $73.59
70.08 73.59 77.11
0
0.2
0.4
0.6
0.8
1
1.2
1 2 3 4 5
ThermalReliabilityCost
iSIGHT
Hysteresis Loop Stabilization
0.00
10.00
20.00
30.00
40.00
50.00
60.00
0 0.02 0.04 0.06 0.08 0.1 0.12
Total Equivalent Strain
Von
Mis
es S
tres
s
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Compact Thermal Resistor Network
TJ = 130 ºC for 8 ThinPaksTM
Number of Devices Junction Temperature (degree C) Numerical Simulation Junction Temperature (degree C)4 108 1158 130 14016 155 170
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Thermal Module: Integration Details
• Import problem details into thermal model.• Evaluate thermal objectives (junction temperature).• Export results to iSIGHT for analysis of other models.
(Cost & Reliability)
Integration SoftwareOptimization
Wei
ght
CostMinimize
Min
imiz
e
Optimized Set of Designs
Selected Design
Mean = $73.59
70.08 73.59 77.11
ReliabilityHysteresis Loop Stabilization
0.00
10.00
20.00
30.00
40.00
50.00
60.00
0 0.02 0.04 0.06 0.08 0.1 0.12
Total Equivalent Strain
Von
Mis
es S
tres
s
0
0.2
0.4
0.6
0.8
1
1.2
1 2 3 4 5
ThermalReliabilityCost
iSIGHT
Thermal Material & Process Cost
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Cost Module: Integration Details•Obtains module/package geometry and materials
• Sends manufacturing cost and yield
Thermal
Integration Software
Material & Process Cost
Optimization
Wei
ght
CostMinimize
Min
imiz
e
Optimized Set of Designs
Selected Design
Mean = $73.59
70.08 73.59 77.11
0
0.2
0.4
0.6
0.8
1
1.2
1 2 3 4 5
ThermalReliabilityCost
iSIGHT
ReliabilityHysteresis Loop Stabilization
0.00
10.00
20.00
30.00
40.00
50.00
60.00
0 0.02 0.04 0.06 0.08 0.1 0.12
Total Equivalent Strain
Von
Mis
es S
tress
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Multi-Objective Genetic Algorithm
f1 : Junction Temperature
f 2: C
ost
PARETO FRONTIER
Design Alternative A
Design Alternative B
Design B dominates design A in terms of Junction Temperature and Cost.
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Results
Substrate thickness=4.74 mmSubstrate Mat : BerylliaLife Cycles = 2401 Solder Mat: J alloy (65Sn 25Ag 10Sb)
Substrate thickness = 3.14 mmSubstrate Mat : ALNLife Cycles = 7893Solder Mat: 90Pb 10Sn
Substrate thickness= 2.51mmSubstrate Mat : AluminaLife Cycles = 5810Solder Mat : J alloy (65Sn 25Ag 10Sb)
Substrate thickness=1.86 mm Substrate Mat : BerylliaLife Cycles = 2756Solder Mat : 90Pb 10Sn
15080
100
120
140
160
100 110 120 130 140Temperature(oC)
Cos
t ($)
16 Thinpacks 8 Thinpacks 4 Thinpacks
2000
3000
4000
5000
6000
7000
8000
80 100 120 140 160Cost ($)
Life
Cyc
le (c
ycle
s)
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Energy Efficient Data Centers Through Better Thermal Design
Heat generation within devices and
interconnects
Heat rejection Electronics
coolersFacility
Designers
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Power Dissipation Trends
Ever increasing power density because of push to increase functionality and decrease floor space consumedIn the 70’s and 80’s average heat load for a data center was ~ 50 W/ft2
In 1990, typical rack dissipated ~1 kW, today a rack may dissipate up to ~12 kW with no change in footprint1
Currently, data center heat fluxes can be ~ 200 W/ft2, based on total power to total floor space ratio
1See Schmidt, et al. IPACK 2001, July 8-13
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Data Centers Modeling Issues
Variety of scales ranging from the facility level to chip levelHeat generation at smallest scales produces global effectsComputationally impossible to resolve all scales accurately
~10’s meters
35mm
2 m
~0.6 m
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Physical Model IssuesFlow Regime: Turbulent Mixed Convection (most difficult to model)No clear turbulence model to use for complex flows such as thisAuthors simply use standard k-ε models (employs Boussinesq eddy viscosity model) which fails for flows with:
Boundary layer separation Rapid changes in strain ratesStrong secondary motion
Use ‘wall functions’ to alleviate near wall grid resolution requirements
Possible explanation for up to 25% variation between CFD and experimental results1
1 see Schmidt, et. al. (2001) and Patel, et. al. (2001)
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Vertical Maximum Temperature Variation
‘Board’ maximum temperature for racks in the y = 1 position – end of rowLocation of significant recirculation – see velocity map of z - mid plane
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 240
42
44
46
48
50
52Vertical Temperature Variation
Rack Vertical Height [m]
Tem
pera
ture
[0 C]
A1B1C1D1
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Summary
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Backup
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Thermal Issues in Future Technology Nodes (Contd.,)
Factors Leading to Higher Temperatures
• Poor thermal conductivity of low-κ dielectrics. An order of magnitude lower than silicon dioxide for some porous gels
• Cumulative effect of large number of metal levels and poor low-κdielectric thermal conductivity
• High current density Jmax = 1.3 MA/cm2 (100 nm node) and 3.9 MA/cm2 (22 nm node) and associated quadratic scaling of heat generation
• Low effective thermal conductivity of copper lines over bulk values due to size effects (when feature sizes are of the order of meanfree path of electrons)
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Thermal Issues Translating to Reliability and Performance• Mean time to failure due to electromigration is exponentially
dependent on temperature (highly sensitive to even small changes in temperature)
• Higher average temperature increases RC delay due to increase in resistance
• Temperature non-uniformity leads to clock skew (impacts at global interconnect level significantly)
Thermal Issues in Future Technology Nodes (Contd.,)
1. International Technology Roadmap for Semiconductors, 2001 edition, Semiconductor Industry Association, San Jose, CA, 2001.
2. A.H. Ajami, M. Pedram, and K. Banerjee, “ Effects of non-uniform substrate temperature on the clock signal integrity in high performance designs,” Custom Integrated Circuits Conference, San Diego CA, USA, 2001.
3. Y.-L. Shen, “Analysis of Joule heating in multilevel interconnects,” J. Vac. Sci. Technol. B, 17, pp. 2115-21, 1999.4. R. Streiter, H. Wolf, Z. Zhu, X. Xiao, and T. Gessner, “Application of combined thermal and electrical simulation
for optimization of deep submicron interconnection systems,” Microelectronic Enginerring, 60, pp. 39-49, 2002.
References
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Enhanced Structures for Electronics
Dimensions in mm
10
100.25 x 0.25 x 0.55
Nakayama et al. (1984)(HF: 100 W/cm2 Twall: 83.8 oC)
FC-7212.2
10
Mudawar and Anderson (1993)(CHF: 105 W/cm2 Twall: ~143 oC)
FC-72
1.0
4.5
4.5
ϕ 0.8
Oktay (1982)(HF: 50 W/cm2
Twall: 81 oC)
Oktay (1982)(HF: 90 W/cm2
Twall: 86 oC)
FC-86
0.3050.305
0.3050.305
0.51
Anderson and Mudawar (1989)(CHF: 51 W/cm2 Twall: ~113 oC)
FC-72
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Effect of Working FluidsSystem Charged with PF5060
20 30 40 50 60 70 80 9020
40
60
80
100
120
Evaporator Bottom ∆T (Evaporator to Ambient)
Power (W)
Tem
pera
ture
(o C)
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Detailed Numerical Simulations(Sixteen Devices on Heat Sink)
Model setup: IcePakTM
Numerical Analysis demonstrating spreading effects
Model Characteristics:L = 3.5 in LC = 3/8 inW = 2.5 in WC = 3/8 in TH = .025 m TC = 1/16 inV = 4 m/s Q = 200 W per device
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Representative Data Center Model1200 ft2 facility with 28 racks organized in 4 rows of 7 racks deep4 CRAC units feeding into a 0.6 m deep plenumPerforated tiles of 25% porosity arranged to form hot aisle / cold aisle configuration
CRAC Units
Cold Aisle
Hot Aisle
Top view of model geometry
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Y - Mid Plane Velocity Vectors [m/s]
n.b. plots show every third velocity vector
• Maximum velocity of 9.91 [m/s]• Strong recirculation back into cold aisles and eventually the upper portions of the racks
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Z - Mid Plane Velocity Vectors [m/s]
n.b. plots show every third velocity vector
• Significant flow around end portion of racks and in areas adjacent to CRAC units
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Y - Mid Plane Temperature Field [°C]
Temperature field rescaled to plane values
• CRAC exhaust temperature of 15 °C• Max temperature of 51.8 °C for the base case
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Preliminary Results
Computations performed using Fluent v5.5100 W/ft2 power density – uniform heat distributionStandard k-ε model with standard wall functionssegregated formulation (no buoyancy)5.73 x 105 cells and 4.014 x 106
degrees of freedom
Row A
7
6
5
6
4
3
2
1
Row B
7
6
5
6
4
3
2
1
Row C
7
6
5
6
4
3
2
1
Row D
7
6
5
6
4
3
2
1
Model Nomenclature for Rack Location
x
y