M. M. Yovanovich, J. R. Culham and P. Teertstra,
Microelectronics Heat Transfer Laboratory
Department of Mechanical Engineering
University of Waterloo
Figure 1. Ceramic Package - Aluminum Heat Sink
Assembly
Introduction
The exposed surface area of many of today's high powered electronic packages
is no longer sufficient for the removal of the heat generated during normal
operation. Heat sinks are a commonly-used, low cost means of increasing the
effective surface area for dissipating heat by means of convective air cooling.
While the use of a heat sink lowers the fluid-side thermal resistance, it also
introduces an interface resistance across the contact formed between itself and
the package case. Under some circumstances, this contact resistance can be
substantial, impeding heat flow and reducing the overall effectiveness of the
heat sink. Figure 1 depicts an electronic package heat sink assembly which
would typically be joined by plastic or metal spring clips around the perimeter
of the assembly.
The subject of thermal resistance at interfaces between aluminum heat sinks
and ceramic packages has been discussed by Lee [1], de Sorgo [2], Latham [3] and
Early et al. [4]. These articles primarily report test results for joint
resistance as a function of contact pressure for various interface types. The
interfaces examined in these works involve either bare surfaces (air filled) or
joints where the interstitial gap is filled with a material layer containing
dispersed thermally conductive fillers. Interstitial material layers currently
used by the industry, as described by de Sorgo [2], include thermal greases,
thermally conductive compounds, elastomers, and adhesive tapes.
Figure 2. Contact Configurations
The objective of this article is to illustrate how to calculate the thermal
joint resistance for the interface formed by two conforming, rough surfaces
shown in Figure 2a, as a function of contact pressure for the low pressure
range, between 0.035 and 0.35 Mpa (5 and 50 psi), commonly encountered
in microelectronic applications (Latham [3]). Peterson and Fletcher [5] verified
by experiments in vacuum that the following models, which were originally
developed for metal-to-metal contacts, give very good results when used to
predict the contact conductance at interfaces formed by metals (invar, kovar and
alloy 42) and mold compounds (polyset 410B and 410C, MG25F-LMP and MG45F-04) at
the interface temperature range: 20 °C to 70 °C and the interface
pressure range: 0.5 to 5.0 MPa. This work will focus primarily on bare
joints, although an example where the interface material is treated as a liquid,
such as in the case of a thermal grease, will also be considered. Interfaces
with thermal compounds or elastomeric sheet materials will be shown to be very
difficult to model and will be discussed in general terms only. The
non-conforming wavy, convex or concave interfaces depicted in Figures 2b, 2c,
and 2d, respectively, are exceedingly complex to model and therefore will not be
considered here. Since radiation heat transfer at most interfaces is negligible
or non-existent, it will not be included in this analysis.
Conforming rough surface model
The thermal joint conductance, hj, of the interface
formed by two conforming, rough surfaces is given by the following simple model
proposed by Yovanovich [6] and further described and used by Antonetti and
Yovanovich [7], Yovanovich and Antonetti [8], an and Yovanovich [9].
hj = hc + hg
The contact conductance is given by:
where ks is the harmonic mean thermal conductivity of
the interface:
ks = 2 k1k2 /(k1 + k2)
the effective mean absolute asperity slope of the interface m, as
shown in Figure 3, is given by:
and where , also
shown in Figure 3, is the effective RMS surface roughness of the contacting
asperities:
The contact pressure is P and Hc is the
surface microhardness of the softer of the two contacting solids. The
microhardness is in general complex because it depends on several geometric and
physical parameters, such as the Vickers microhardness correlation coefficients.
The surface asperity slope is frequently not given. In this case the mean
absolute asperity slope can be approximated by the correlation equation proposed
by Antonetti et al. [10]:
m = 0.125 ( x 106)0.402
which was developed for the surface roughness range:
0.216 µ m
< 9.6 µ m
The gap conductance, hg, is given by the approximation
of Yovanovich [6]:
hg = kg/(Y + M)
where kg is the thermal conductivity of the gap substance. The
effective gap thickness Y, shown in Figure 3, can be calculated
accurately by means of the simple power-law correlation equation proposed by
Antonetti and Yovanovich [7]:
Y = 1.53
(P/Hc)-0.097
for the relative contact pressure range:
10-5 < P/Hc < 2 x 10-2.
Figure 3. Conforming rough surfaces
The gas parameter M accounts for rarefaction effects at high
temperatures and low gas pressures. This gas-surface parameter depends on the
thermal accommodation coefficients, the ratio of specific heats, the Prandtl
number, and the molecular mean free-path of the gas. Song and Yovanovich [11]
present correlation equations for the calculation of the accommodation
coefficients for several gases as a function of the gas temperature. This
complex gas-surface parameter depends on gas pressure and temperature according
to the relationship:
where M0 denotes the gas
parameter value at the reference values of gas temperature and pressure, T0 and Pg,0,
respectively. Reference values of the gas parameter for air and helium are
presented in Table 1.
Table 1: Thermophysical Properties of Gap Substances
| Gap Substance |
Thermal Conductivity W/(mK) |
Gas Parameter M0 x 106, m |
| air |
0.026 |
0.373** |
| helium |
0.150 |
2.05** |
| thermal grease |
0.20 - 0.70* |
0.0 |
| doped thermal grease |
1.68 - 2.58* |
0.0 |
** - T0 - 50 °C, Pg,0 = 1 atm
* - AOS Technical Data Sheets, 1995
Interstitial material layers
Although the conforming rough surface model presented in the previous
section was developed for bare surfaces, it can also be applied to interfaces
with thermal grease. By assuming that the grease behaves as a liquid and fills
all gaps between the contacting asperities, the existing model can be used by
substituting M = 0 and the thermal conductivity of the grease into the
gap conductance relationship. However, when solid interstitial materials are
used, such as thermal compounds, elastomers or adhesive tapes, the joint
conductance problem becomes much more complicated. As shown in Figure 4, the
use of a solid interstitial material introduces an additional interface to the
problem.
Figure 4. Thermal conductance across an interface
with and without an interstitial material
Using thermal resistance concepts, the overall joint conductance for this
problem is determined by the series combination:
1/hj = 1/(hj,1)
+ t/k + 1/(hj,2)
where hj,1and
hj,2 refer to the joint
conductance between each of the contacting surfaces and the interfacial material
and t and
k are the average thickness and thermal conductivity of the layer.
Completing this analysis requires characterization of the relevant surface
parameters, such as the slope, roughness and microhardness, for the various
interstitial materials. In addition, for elastomeric materials the layer
thickness t is not constant but instead depends on the contact pressure.
Additional research needs to be done before a model can be developed to address
this complex phenomenon.
Application to aluminum heat sink-ceramic package interface
Table 2: Thermal and Surface Properties for Aluminum-Alumina
Conforming Rough Surfaces
| Material |
Thermal Conductivity W/(m K) |
Microhardness MPa |
Surface Roughness µ m |
| A1 5052 [14] |
140 |
745 |
6.9 |
| A1 6061 [14] |
180 |
705 |
0.7 |
| A1 6063-T5 |
201 |
1094 |
0.4 (flycut) |
| Aluminum Nitride [13] |
160 |
10044 |
0.45 |
| Alumina (96% A12O3) |
20.9 |
3100 |
1.3 (ground) |
| Copper [13] |
397 |
924.1 |
0.45 (milled) |
The aforementioned models will be used to calculate the joint resistances
for the interface formed by an aluminum 6063-T5 aluminum heat sink and Al2O3
alumina package. The thermal conductivities of the heat sink and ceramic
package are k1 = 201 W/m·K and k2
= 20.9 W/m·K respectively. The harmonic mean thermal
conductivity of the interface is ks = 37.85 W/m·K.
Since the microhardness of the aluminum alloy is 1094
MPa, which is much less than that of the alumina, it will be used to
compute the contact parameters. Based on a surface roughness for flycut
aluminum of 1
= 0.4 µ m and a surface roughness for ground alumina of
2 = 1.3
µ m, the effective surface roughness of the interface is calculated
as = 1.36 µm.
Since the surface slopes are not given, Eq. (6) will be used to calculate the
following values: m1 = 0.139, m2 =
0.0865, respectively. The effective surface slope of the interface is therefore
m = 0.164. The thermal and physical properties of air, helium and
grease presented in Table 1 will be used in the gap conductance model.
In Figure 5 the joint thermal resistances, whose units are cm 2-°C/W
are plotted against the nominal contact pressure over the pressure range: 0.007
P (Mpa)
0.35 for several cases. The bare joint resistances with air or helium present
in the gap are shown. The effect of a thermal grease of thermal conductivity
kg = 0.20 W/m·K is also shown in Figure
5.
Figure 5. Joint thermal resistance of an aluminum
heat sink-ceramic package assembly for various contact pressures
Summary and discussion
Simple correlation equations are presented and used to calculate thermal
joint resistances for a typical aluminum-ceramic interface found in
microelectronics applications. Flycut and ground surfaces are considered.
Joint resistances are calculated for contact pressures between 0.007 and 0.35
MPa, which includes the practical microelectronic pressure range of 0.07
and 0.17 Mpa (see Latham [3]). The greatest joint resistances are found
when air is present in the interstitial gap. In the contact pressure range of
0.007 to 0.35
MPa, the air joint resistance goes from 2.665 to 1.903 cm2-°C/W.
When silicon grease is placed in the gap, the joint resistance is much
smaller than the bare interface. The calculated values of the joint resistance
lie in the range 0.335 to 0.213 cm2-°C/W which are an
order of magnitude smaller than the joint resistances of a bare joint. If
greases with thermally conductive ceramics are used, the joint resistance can be
reduced to values below 0.065 cm2-°C/W.
The correlation equations which have been used are based on conforming rough
surfaces with interstitial substances which perfectly wet all portions of the
surfaces which form the gap. Any non-flatness will result in interfaces with
larger gaps which will have larger joint resistances. If the interstitial
substance does not perfectly wet the contacting surfaces, this will also
produce a more thermally resistive interface. The proposed models and
correlation equations therefore correspond to the best thermal joints which have
the smallest joint resistances.
The use of other interstitial materials, such as thermal compounds,
elastomers or adhesive tapes, has been shown to increase the complexity of the
joint conductance problem significantly. In order to successfully model this
problem, extensive research into characterizing the surface properties and layer
thicknesses for the various interfacial materials is required.
M. M. Yovanovich, Microelectronics Heat Transfer Laboratory Department
of Mechanical Engineering University of Waterloo, Waterloo, Ontario N2L
3G1, Canada Tel: +519 885 1211 Ext. 3588 Fax: +519 746 9141 Email:
mmyov@mhtl.uwaterloo.ca
J. R. Culham, Microelectronics Heat Transfer Laboratory Department
of Mechanical Engineering University of Waterloo, Waterloo, Ontario N2L 3G1,
Canada Tel: +1 519 888 4586 Fax: +1 519 746 9141 Email:
rix@mhtl.uwaterloo.ca
P. Teertstra, Microelectronics Heat Transfer Laboratory Department
of Mechanical Engineering University of Waterloo, Waterloo, Ontario N2L 3G1,
Canada Tel: +1 519 888 4586 Fax: +1 519 746 9141 Email:
pmt@mhtl.uwaterloo.ca
References
1. S. Lee, How to Select a Heat Sink, Electronics
Cooling, Vol. 1, No. 1, June 1995, pp. 10-14.
2. Miksa de Sorgo, Thermal Interface Materials,
Electronics Cooling, Vol. 2, No. 2, September 1996, pp. 12-15.
3. Carol A. Latham, Thermal Resistance of Interface
Materials as a Function of Pressure, Electronics Cooling, Vol. 2, No. 2,
September 1996, p. 35.
4. Malcolm Early, Seri Lee, and Mark Pellilo, Thermal
Performance of Interface Material in Microelectronics Packaging Applications,
Proceedings of the 1995 International Electronics Packaging Conference,
September 1995, pp. 534-544.
5. G.P. Peterson and L.S. Fletcher, Evaluation of the
Thermal Contact Conductance Between Substrate and Mold Compound Materials, ASME
HTD-Vol. 69, Fundamentals of Conduction and Recent Developments in Contact
Resistance, edited by M. Imber, G.P. Peterson and M.M. Yovanovich, 1987, pp.
99-105.
6. M.M. Yovanovich, New Contact and Gap Correlations
for Conforming Rough Surfaces, AIAA-81-1164, presented at AIAA 16th
Thermophysics Conference, Palo Alto, CA., June 1981.
7. V.W. Antonetti and M.M. Yovanovich, Thermal Contact
Resistance in Microelectronic Equipment, Thermal Management Concepts in
Microelectronic Packaging From Component to System, ISHM Technical Monograph
Series 6984-003,1984,pp. 135-151.
8. M.M. Yovanovich and V.W. Antonetti, Application of
Thermal Contact Resistance Theory to Electronic Packages, Advances in
Thermal Modeling of Electronic Components and Systems, Vol. 1, Editors A.
Bar-Cohen and A.D. Kraus, Hemisphere Publishing Corporation, 1988, pp. 79-128.
9. M.M. Yovanovich, Theory and Applications of
Constriction and Spreading Resistance Concepts for Microelectronic Thermal
Management, Cooling Techniques for Computers, Editor Win Aung, Hemisphere
Publishing Corporation, 1991, pp. 277-332.
10. V.W. Antonetti, T.D. Whittle, and R.E. Simons, An
Approximate Thermal Contact Conductance Correlation, HTD-Vol. 170,
Experimental/Numerical Heat Transfer in Combustion and Phase Change, 1991, pp.
35-42.
11. S. Song and M.M. Yovanovich, Correlation of Thermal
Accommodation Coefficient for Engineering Surfaces, ASME HTD-Vol. 69,
Fundamentals of Conduction and Recent Developments in Contact Resistance, edited
by M. Imber, G.P. Peterson and M.M. Yovanovich, 1987, pp. 107-116.
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