Finned Metal Foam Heat Sinks for Electronics Cooling in Forced Convection A. Bhattacharya Research Assistant e-mail: bhattach@colorado.edu R. L. Mahajan Professor e-mail: mahajan@spot.colorado.edu CAMPmode, Mechanical Engineering Department, University of Colorado, Campus Box 427, Boulder, CO 80309–0427 I In this paper, we present recent experimental results on forced convective heat transfer in novel finned metal foam heat sinks. Experiments were conducted on aluminum foams of 90 percent porosity and pore size corresponding to 5 PPI (200 PPM) and 20 PPI (800 PPM) with one, two, four and six fins, where PPI (PPM) stands for pores per inch (pores per meter) and is a measure of the pore density of the porous medium. All of these heat sinks were fabricated in-house. The forced convection results show that heat transfer is significantly enhanced when fins are incorporated in metal foam. The heat transfer coefficient increases with increase in the number of fins until adding more fins retards heat transfer due to interference of thermal boundary layers. For the 20 PPI samples, this maximum was reached for four fins. For the 5 PPI heat sinks, the trends were found to be similar to those for the 20 PPI heat sinks. However, due to larger pore sizes, the pressure drop encountered is much lower at a particular air velocity. As a result, for a given pressure drop, the heat transfer coefficient is higher compared to the 20 PPI heat sink. For example, at a ⌬p of 105 Pa, the heat transfer coefficients were found to be 1169 W/m 2 -K and 995 W/m 2 -K for the 5 PPI and 20 PPI 4-finned heat sinks, respectively. The finned metal foam heat sinks outperform the longitudinal finned and normal metal foam heat sinks by a factor between 1.5 and 2, respectively. Finally, an analytical expression is formulated based on flow through an open channel and incorporating the effects of thermal dispersion and interfacial heat transfer between the solid and fluid phases of the porous medium. The agreement of the proposed relation with the experimental results is promising. 关DOI: 10.1115/1.1464877兴 Introduction The large-scale integration of electronic circuits has resulted in a continuous increase in chip power dissipation requirements. According to the SIA roadmap 关1兴, in the ‘‘cost performance’’ and ‘‘high performance electronic products,’’ a chip power dissipation level of 30 W/cm2 is anticipated in the next five years. For these products, air-cooling is still the preferred and maybe the only option to keep cost within bounds. Existing technology solutions for cooling applications become ineffective beyond 50W/chip, where the typical chip size is of the order of 520 mm2 . This has necessitated the development of new and innovative thermal management solutions capable of removing heat from the chip and dissipating it to the environment. Reviews of previous studies undertaken in this field can be found in 关2– 4兴. With air cooling, the two most commonly used techniques for enhancing heat dissipation are increasing the air flow rate and increasing the surface area for heat exchange by introducing fins or baffles. However, both these techniques have disadvantages. Increasing the airflow rate is easy to implement, but the associated acoustic noise of the coolant air poses a severe limitation. Extended surfaces, in the form of fin arrays, have been extensively implemented. Studies include those on flow through channels 关5,6兴, optimization of fin arrays in terms of fin spacing, channel gap, fluid properties and tip clearance 关7–12兴, and novel designs based on stringent heat transfer and fluid flow constraints 关13– 15兴. However, the extended surfaces result in increase in weight, size, and pressure drop due to flow resistance. If the pressure drop is excessive, air may bypass the heat sink. A solution to this probContributed by the Electronic and Photonic Packaging Division for publication in the JOURNAL OF ELECTRONIC PACKAGING. Manuscript received by the EPPD September 5, 2000. Associate Editor: A. Ortega. Journal of Electronic Packaging lem lies in placing the heat sink in a ducted arrangement in conjunction with a high power fan capable of handling higher pressure drops. High porosity metal foams 共see Fig. 1兲 are potentially excellent candidates for high heat dissipation. These foams provide extended surface area and also serve to enhance the heat transfer coefficient due to local thermal dispersion caused by the eddies that are shed in the wake of the flow past the metal fibers. More detailed information on the geometric configuration of these foams is given in 关16 –22兴. These metal foams have porosities of around 90 percent and come in different pore sizes where the pore size is characterized by the parameter, PPI 共pores per inch兲. Early work by Lee et al. 关21兴 demonstrated the feasibility of such a metal foam heat sink in reducing the chip-to-ambient thermal resistance to 0.4°C/W, when used in a ducted arrangement with a conventional muffin fan. Calmidi 关16兴 verified the claims made in 关21兴 and laid the theoretical foundation for understanding the underlying transport mechanisms in such high porosity media. The study included the measurement and modeling of the effective thermal conductivity of such materials, an empirical correlation for pressure drop, and a preliminary model for thermal dispersion. The data indicated significant enhancement in heat dissipation for these high porosity metal foams. However, this gain comes at the cost of a much higher pressure drop when compared to standard finned heat sinks. In order to overcome this limitation, Calmidi et al. 关17兴 proposed a novel finned metal foam sink that incorporates normal longitudinal or pin fins in the pure metal foam heat sink. It was claimed that such a heat sink would combine the advantage of thermal dispersion in metal foams with that of extended surface area of finned heat sinks, thereby increasing the total heat dissipation without appreciable increase in ⌬ P. Figure 2 shows a finned metal foam heat sink with two fins 共although three fins are shown in the figure, the fins forming the duct are half the thickness of the central fin兲. The analysis of the Copyright © 2002 by ASME SEPTEMBER 2002, Vol. 124 Õ 155 Downloaded From: http://electronicpackaging.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use where the thermal boundary layers formed on the fins and the base interfere with each other thereby inhibiting heat dissipation. As an example, consider heat transfer due to flow in a channel of rectangular cross section. One can calculate h from the empirical correlation for Nu for flow through a channel 关23兴, NuD h ⫽ h̄D h ⫽2.98 k (4) or approximately by using correlations for flow over an isothermal flat plate 关23兴 for all the three surfaces 共similar to the methodology followed in Eq. 共2兲兲 Nu⫽ Fig. 1 Picture of metal foam „5 PPI… heat sink is performed using the theory of extended surface 关23兴. Flow development is ignored since developing length 共hydraulic and thermal兲 for flow through a channel filled with metal foam is small 关16兴. With this assumption, the total heat dissipated is given by 冋 Q⫽Q b ⫹Q f Q⫽L⌬T h 共 W⫺nt 兲 ⫹n 冑2hkt tanh 冉冑 冊册 2h H kt (1) (2) To evaluate h, the following correlation of Calmidi 关16兴 for flow through metal foam on a horizontal isothermal surface was used. h⫽211⫹109.3u 共 0.4m/s⬍u⬍4.0m/s兲 (3) The thermal resistance of the finned heat sink 共W⫽5 cm, H ⫽4 cm, t⫽4 mm兲 is plotted in Fig. 3 along with a normal metal foam heat sink in a velocity range of 0.4 m/s⬍u⬍4.0 m/s. A three to four-fold improvement in heat dissipation capacity is indicated. It may be noted that Eq. 共2兲 provides an overestimate of Q since the value of h used is that for flow through simple metal foam over an isothermal horizontal plate. In reality, flow through the finned metal foam is analogous to flow through a channel h̄L ⫽0.664 Re0.5 Pr0.33 k (5) The second approach over-predicts the total heat transfer by about 150% and 50% for the 2-finned and 4-finned heat sinks, respectively. Similar argument applies for the finned metal foam heat sinks suggesting that values of h based on flat surface correlations cannot be accurately applied for flow through a channel. Thus, the experimental values of h are expected to be lower than those calculated from Eq. 共2兲. However, the magnitude of reduction is expected to be different than in the example above, since in the metal foam channels, flow and heat transfer mechanisms are quite different than those in open channels 关23,24兴. In order to investigate these matters and to establish a generalized formulation for heat transfer from such finned metal foams, experimental studies were undertaken using aluminum foams of 20 PPI and 5 PPI having a porosity of 90 percent with different number of fins. The results are discussed in Section IV and an empirical correlation proposed in Section V. A comparison with the longitudinal finned heat sinks is provided in Section VI. In Section VII, we propose a channel based heat transfer relation that incorporates contributions due to thermal dispersion and interfacial heat transfer that arise in such porous media. The paper concludes with a brief summary in Section VIII. II Fabrication of the Samples Fabrication of the proposed heat sinks forms an important aspect of this work. There are a number of issues involved in the fabrication of these heat sinks. The two most important are: 共i兲 The foam must be cut into a precise geometry, and 共ii兲 The thermal contact resistance between the fin 共and base兲 surface and the foam must be minimized. Fig. 2 Schematic of the novel finned metal foam heat sink proposed by Calmidi et al. †17‡ Fig. 3 Thermal resistance as a function of average velocity 156 Õ Vol. 124, SEPTEMBER 2002 The normal aluminum finned heat sinks were first manufactured in-house. All the heat sinks fabricated had base areas of 62.5 mm⫻62.5 mm 共2.5 in.⫻2.5 in.兲. The base thickness and fin heights were kept constant at 6.25 mm and 56.25 mm, respectively. The fin thickness for the heat sink with one fin was 6.25 mm, that with two fins was 3.125 mm and so on. For the heat sink with one fin 共Fig. 4兲, an aluminum block was milled to form the heat sink with the fin in the middle. However, for two or more fins, the milling process became more difficult. The fins were therefore machined separately and attached to the base by means of screws. In order to reduce contact resistance, a thin layer of thermal grease was applied at the contact surfaces of the fins and base. The foams were obtained in the form of blocks from the manufacturer. They were then cut into precise geometry using a sharp blade band saw to within tolerance limits of ⫹0.075 mm. Once the foam pieces were cut to the precise geometry, the lateral surfaces were smoothed using a sander. The conductive epoxy Thermaxx® 2600K 共Ablestick Inc.兲, having a reported thermal conductivity of about 20–25 W/m-K, was used to bond the foam to the fin and base surfaces. A thin layer of the epoxy was first applied on the metal and foam surfaces, and the foams were next pushed forcibly into the gaps between the fins, and then pressed from the top as well to ensure good contact with base 共Fig. 4兲. The epoxy was then cured in a Transactions of the ASME Downloaded From: http://electronicpackaging.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Fig. 4 Schematic of the fabricated 1—finned metal foam heat sink value and the fluid velocity was varied in the range of 0.5–2m/s. At a given flow rate, the temperatures of the base plate and the inlet air were monitored until steady state was attained. The temperature and pressure drop readings were recorded. The flow rate was then increased and the same procedure repeated until the pressure drop reached 100 N/m2 共One of the preliminary objectives of our study was to compare the performance of finned metal foam heat sinks with that of the high performance heat sinks reported in Sathe et al. 关13兴. This value of pressure drop was chosen following the constraint mentioned in that study.兲 Calmidi and Mahajan 关18兴 had found in their studies that the heat transfer coefficient was independent of the input power at a given flow rate. Hence the experiments were not repeated at different input power levels. The heat transfer coefficient was calculated using Newton’s Law of Cooling. high temperature oven at 200°C, as per the instructions given by the manufacturer. Figure 5 shows pictures of the heat sinks 共20 PPI兲 with one and four fins used in our study. h⫽ IIIB IIIA Experiments A schematic of the experimental setup is shown in Fig. 6 where the test section is a part of the in-house fabricated wind tunnel 关16兴. The heat sink was placed in the test section and air was blown through the wind tunnel by means of the fan-motor assembly. The direction of airflow was from left to right. Patch heaters were attached to the bottom surface of the heat sinks and were connected to a DC power supply. Five 0.127-mm T-type thermocouples were attached to the bottom plate at different locations in order to monitor the base plate temperature. The thermocouples were connected to the OMEGA DASTC data acquisition system. The heat sink was insulated on all the sides 共except inlet and outlet兲 by Styrofoam insulation. Pressure taps were provided at the inlet and outlet for monitoring the pressure drop across the sample. Experiments were conducted with heat sinks having one, two, four, and six fins, and using aluminum foam with pore sizes corresponding to 5 and 20 PPI and porosity of 0.9. During the experiments, the power supplied to the heaters was kept at a fixed Q A b 共 T b ⫺T amb 兲 (6) Error Analysis The main uncertainties in this experiment are due to errors in measurements of power, thermocouple readings and physical dimensions. The maximum error in the multimeter readings for the voltage and resistance measurements is 0.5% 共manufacturer’s data sheet兲. This results in an error of 1.5% in the estimation of the heat input Q. The combined error 共resolution of the data acquisition unit, thermocouple calibration兲 in the estimation of the temperature difference under the given conditions is 0.2°C. For the temperature differences observed in our experiments 共of the order of 30°C兲, the error in our measurement is thus 0.67%. The error in measurement of the cross-sectional area is estimated to be 0.75%. The heat losses through the Styrofoam insulation 共thermal conductivity is 0.03W/m-K兲, as well as the conduction losses through the thin thermocouple wires 共diameter of 0.127 mm兲, are neglected. Based on the preceding errors, the total error in the measurement of the effective thermal conductivity can be calculated using 关25兴 ⌬h ⫽ h 冑冉 冊 冉 冊 冉 ⌬Q Q 2 ⫹ ⌬A m Am 2 ⫹ ⌬ 共 ⌬T 兲 ⌬T 冊 2 (7) and was found to be ⫾1.8%. However, it may be noted that the above analysis does not take into account the error due to thermal contact resistance introduced by the epoxy used to bond the metal foam to the fins and the base. IVA Fig. 5 Pictures of the metal foam heat sinks with one and four fins used in our study Fig. 6 Schematic of the experimental setup Journal of Electronic Packaging Results With 20 PPI The results of the experiments with 20 PPI samples are shown in Figs. 7 and 8. From Fig. 7, it is seen that the heat transfer coefficient increases at a given flow rate when fins are incorporated in the metal foams. The variation of h with u is found to be almost linear in the given velocity range. There are two reasons for this enhancement. First, the thermal conductivity of aluminum 共218 W/m-K兲 is about 32 times that of the metal foam 共6.9 W/m-K兲 关22,26兴. Thus, replacing the strip of metal foam by solid aluminum results in an increase in heat dissipation by conduction. Second, a larger surface area of heated metal is in contact with metal foam 共base plus fins兲 compared to a normal metal foam heat sink 共base only兲. However, we note that the increase in heat transfer coefficient progressively decreases with the addition of fins. From the curves, it is seen that the improvement in heat transfer from one fin to two fins is approximately 65 percent, while that from two to four fins is about 25 percent. When the number of fins is further increased to six, the heat transfer coefficient actually decreases. These trends can be explained in terms of the interference of the thermal boundary layers. For a given cross-sectional area, the channel gap between two fins 共fin pitch兲 decreases with the addition of fins. As a result, the thermal boundary layers, which are SEPTEMBER 2002, Vol. 124 Õ 157 Downloaded From: http://electronicpackaging.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Fig. 7 Plot of heat transfer coefficient as a function of air velocity for the 20 PPI foam samples material like metal foam in air, where the ratio of the solid to fluid conductivities is large, it is not advisable to assume LTE. However, in their study on forced convection, Calmidi and Mahajan 关18兴 had shown that in the range of flow velocities and foam parameters 共Re and Da兲 for their experiments, the interfacial heat transfer due to local thermal nonequilibrium 共LTNE兲 is negligible. Since our experiments also fall in the same range of Re and Da, Eq. 共8兲 can be used to obtain a reasonable estimate of the thermal boundary layer thickness. The pressure drop data is plotted in Fig. 8. As expected, ⌬p increases with addition of each fin due to the head losses at entry, exit and wall friction. However, compared to the enhancement in heat transfer, the increase in ⌬p is relatively smaller. From the plots of heat transfer coefficient and pressure drop, it is seen that the optimum number of fins in a heat sink of our dimensions is four. With this heat sink, we can obtain a heat transfer coefficient of 995 W/m2 -K at an air velocity of 1.7 m/s with a pressure drop of 105 Pa across the heat sink. IVB Results With 5PPI The second set of experiments was conducted on aluminum foam samples corresponding to 5 PPI with one, two, and four fins. Figure 9 shows the results of heat transfer coefficient. The pressure drop data is plotted in Fig. 10. Both the heat transfer and pressure drop data show trends similar to those for the 20 PPI samples. However, we note that the heat transfer coefficient for a 20 PPI sample at a particular air velocity is higher than that given Fig. 8 Plot of pressure drop at different air velocities for the 20 PPI foam samples formed on adjacent fin surfaces, interfere with each other. This interference results in retardation in heat transfer. Hence, there is an optimum value for the number of fins for maximum heat transfer. For flow through a porous medium over an isothermal surface 共assuming Darcy flow兲, the thermal boundary layer thickness can be written as 关26兴 ␦ T⫽ 0x 冑 ␣ef f U ⬁x (8) where erf(0/2)⫽0.99. Using typical values of U ⬁ ⫽1m/s, x ⫽6.25 cm 共2.5 in.兲, the boundary layer thickness is calculated as 0.65 cm. Thus, the value of 2 ␦ T ⫽1.3 cm is greater than the channel gap of 1.12 cm in our four-finned heat sink. As a result, the thermal boundary layers formed on the adjacent fin surfaces interfere to reduce heat transfer. The reduction becomes more severe for the heat sink with six fins where the channel gap is only 0.8 cm. However, increase in number of fins also results in two extra surfaces added per fin across which heat transfer can occur. For the case of the heat sink with four fins, this enhancing effect is larger than the reduction in heat transfer due to boundary layer interference. The net result is an increase in the heat transfer coefficient as we increase the number of fins from two to four. However, with further increase in the number of fins to six, the retarding effect dominates and the heat transfer rate goes down. It may be mentioned that Eq. 共8兲 is valid only if the solid and fluid phases are locally in thermal equilibrium 共LTE兲. For a porous 158 Õ Vol. 124, SEPTEMBER 2002 Fig. 9 Heat transfer coefficients for the 5 PPI samples as a function of flow velocity Fig. 10 Pressure drop characteristics of the 5 PPI samples as a function of flow velocity Transactions of the ASME Downloaded From: http://electronicpackaging.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Fig. 11 Heat transfer coefficients for the samples with four fins Fig. 13 Experimental Nusselt numbers versus empirical correlation †Eq. „10…‡ for finned metal foam heat sinks Nue ⫽ 冉 冊 hd p Dh ⫽C ReKm Prne ke dp p (9) where ReK⫽u冑K/ , Pre ⫽ C p /k e , and d p is the pore diameter of the foam sample. This is similar to the turbulent flow correlation over a flat plate. However, the extra parameter (D h /d p ) is added to take into account the effect of fin pitch. Using least squares fit, the best-fit parameters are found to be C⫽5.95, m⫽0.61, n ⫽0.58, p⫽⫺0.66. Noting that the values of m and n are very close, we replaced ReK and Pre by the Peclet number defined as PeK,e ⫽ReK Pre . The resulting correlation becomes 3/5 Nue ⫽6.43 PeK,e Fig. 12 Pressure drop characteristics for the samples with four fins y a 5 PPI sample having the same number of fins 共see Fig. 11兲. This is due to the larger surface area to volume ratio and higher thermal dispersion effects 共presence of larger number of fibers兲 for the former. The accompanying pressure drop, however, is also higher for the 20 PPI sample 共see Fig. 12兲. The implication is that in many practical applications, where pressure drop or fan power is a major constraint, a much higher velocity may be attained using a 5 PPI foam sample, which in turn, can lead to higher heat transfer rate. For example, for an allowable pressure drop of 100 Pa, a flow velocity of about 2 m/s is achieved for the 5 PPI sample compared to about 1.6 m/s for the 20 PPI sample. The net result is a higher h, see Table 1. V Empirical Correlation In this section, we propose a correlation of the form given in Eq. 共9兲 to estimate h or Nue . Table 1 Heat transfer coefficients around 100 Pa Journal of Electronic Packaging 冉 冊 Dh dp ⫺ 2/3 (10) The above correlation matches the experimental data with an error band of ⫾12% 共see Fig. 13兲. d ⫺1/3 . This means that From Eq. 共10兲 it can seen that h ␣ D ⫺2/3 h p when D h increases or equivalently the number of fins decreases 共all other parmeters held constant兲, the heat transfer coefficient decreases. The thermal enhancement effects due to conduction and extended surface area of the fins are, then, small. On the other hand, when d p increases or equivalently PPI goes down, h decreases. As stated in Section IVB, this is due to the extra specific surface area of the higher PPI samples as well as enhanced thermal dispersion effect. VI Comparison With Longitudinal Finned Heat Sinks In an experimental investigation, Lau and Mahajan 关9兴 reported heat transfer for longitudinal finned heat sinks 共see Fig. 14兲 in a ducted arrangement. The study showed that by using an appropriate hydraulic diameter, the theories of pipe flow and extended surfaces could be combined to obtain the net heat transfer rates. The following empirical correlation was formulated for the nondimensional heat transfer coefficient. Nu⫽ h oD h 0.8 Pr0.4兲 ⫽1.42共 0.023 ReD h k Q , where h o ⫽ 共 A b ⫹ A f 兲共 T b ⫺T amb 兲 (11) uD h 4SH Re⫽ , D h⫽ S⫹2H The factor 1.42 takes into account the enhanced heat transfer due to developing flow. Figure 15 shows the plots of heat transfer coefficient at different flow velocities for heat sinks having one, two, four and six fins with base and fin dimensions corresponding to the ones used in our experimental study along with our own experimental data. The value of h 共based on base area兲 for the longitudinal finned SEPTEMBER 2002, Vol. 124 Õ 159 Downloaded From: http://electronicpackaging.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Fig. 16 System curves for the different heat sinks along with the fan curve Fig. 14 Schematic of the longitudinal finned heat sink of Lau and Mahajan †9‡ heat sink with four fins is about 120 W/m2 -K at an air velocity of 1.75 m/s. This is in contrast to 995 W/m2 -K at ⬃1.6 m/s for our 20 PPI heat sink. For the longitudinal heat sink having six fins, the value is close to 180 W/m2 -K. Bejan and Sciubba 关7兴 proposed the following expressions for the optimal spacing of parallel plates for maximum cooling in forced convection. 冉 S o pt ␣ ⫽3.033 L ⌬ P.L 2 ⬙ ⫽0.479 q max 冉 冊 ⌬ P Pr 冊 1/4 (12a) 1/2 WC p 共 T b ⫺T amb 兲 (12b) The heat transfer coefficients for this optimal array is also plotted in Fig. 15. It can be seen that the heat transfer coefficients offered by the optimized plate fin array are consistently lower than those for our 4-finned metal foam heat sink by almost a factor of 2 in the entire velocity range. Thus it can be seen that significant enhancements in heat transfer rates can be achieved by replacing plate fin heat sinks with finned metal foams. The above comparisons between different heat sinks were based on a fixed velocity. However, such a comparison is not fair since, for a given pressure drop constraint a normal longitudinal finned heat sink can sustain much higher velocities compared to finned metal foam heat sinks. A better comparison is perhaps through the operating points of the heat sinks based on the fan characteristic curves. Figure 16 shows the fan curve for a 12cm 24V DC muffin fan 共a type commonly used in many electronics applications兲. The system curves for the heat sinks in their operating range are also shown. To compare the heat transfer performance of the two sinks the operating points of the heat sinks based on the fan curves were identified, and the corresponding flow velocities 共hence Re兲 were calculated. These velocities were then used to calculate the heat transfer coefficients. The correlation of Lau and Mahajan 关9兴 was used to calculate h for the longitudinal finned heat sinks while for the finned metal foam heat sinks the experimental results were used. The values of the heat transfer coefficients based on the heat sink base area for these operating points are presented in Table 2. It is seen in Table 2 that the maximum heat transfer coefficient for the finned metal foam heat sinks is much higher than for the normal longitudinal finned heat sinks. The clear indication is that replacing the air gap between the fins by metal foams can lead to a large enhancement in heat dissipation We, however, note that even though the 4 finned metal foam heat sinks were found to give the best performances from our experiments, the same number may not represent the optimum configuration for longitudinal finned heat sinks. To explore this further, we compared our experimental data with that of Lau and Mahajan 关9兴. They used three types of heat sinks listed in Table 3. Using the procedure based on fan characteristic curve, as outlined above, heat transfer coefficients of about 236.5, 371.2, and 433.7 W/m2 -K were calculated from their results for the 13, 46, and 56 finned heat sinks respectively. Even for these large numbers of fins, these values are significantly lower than those for the finned metal foam heat sinks. Table 2 Heat transfer coefficients based on fan curve Fig. 15 Comparison of heat transfer coefficients for longitudinal finned and finned metal foam „20 PPI… heat sinks 160 Õ Vol. 124, SEPTEMBER 2002 Transactions of the ASME Downloaded From: http://electronicpackaging.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Table 3 Heat sinks of Lau and Mahajan †9‡ Base area of the heat sinks: 10.16 cmÃ10.16 cm „4 in.Ã4 in.… Further, the model shows that for flow through cylindrical packed tubes transition to turbulence takes place at a Red 共Reynolds number based on particle/pore diameter兲 value of about 20. For our experiments, the values of Red were between 250 and 530 for the 5 PPI samples, and between 150 and 300 for the 20 PPI samples, clearly indicating that our experiments were in the turbulent flow regime. The correlation for turbulent flow in a channel with isothermal walls is given by Eq. 共11兲 and is rewritten here in terms of the effective properties It is to be recognized that these comparisons are based on the characteristic curve of a single fan. The results may be different for a fan having a different characteristic curve. VII Finned Metal Foam Heat Sinks: Comparison With Flow Through a Channel It was mentioned in Section II that flow through a finned metal foam heat sink can be conceived of as flow through a channel, in which the fluid medium in the channel is replaced by our porous medium. It will be interesting to investigate if the correlation for flow through a channel can be applied to predict our experimental data by replacing the fluid properties by the effective properties of the porous medium. However, there are several other factors that need to be considered before making such a comparison. First, flow through a metal foam gives rise to local disturbance due to the eddies that are shed in the wake of the flow past the solid fibers. This causes thermal dispersion, which enhances heat dissipation. Second, due to the presence of these eddies, transition to turbulence occurs at a much lower Reynolds number compared to flow through an open channel. Finally, the solid and fluid phases may not be in thermal equilibrium resulting in interfacial heat transfer between the fluid and the foam matrix. The result is a decrease in Nusselt number due to the extra thermal resistance arising out of this interfacial heat transfer. Cheng and co-researchers 关27,28兴 have conducted numerical studies on flow through packed beds in a channel. Their model predictions were found to be in excellent agreement with the experimental data of Verschoor and Schuit 关29兴 for forced convection of air through a packed bed of glass spheres. However, a comparison of their model with our experimental data shows that Nusselt number for metal foams are higher by factors of 5–10. This can be attributed to the higher effective thermal conductivity (k e ⫽6.7 W/m-K) of metal foams 关22,26兴 compared to that of glass spheres (k e ⬃1 W/m-K). Nu⫽ h oD h 0.8 ⫽0.023 ReDh Pr0.4 e ke (13) uD h 4SH Cp where ReDh ⫽ , Pre ⫽ D h⫽ ke S⫹2H Note that the correction factor of 1.42 used in 关9兴 for developing flow has been dropped since the developing length for flow through a porous medium is very small 关16,24,30兴. Replacing the fluid properties by the properties of the porous medium in Eq. 共13兲, one can conclude that at a given flow velocity, the ratio of the heat transfer coefficient for flow through a packed channel to that of an open channel can be written as 冉冊 ho ke ⫽ hc kf 0.6 (14) For our case, the ratio of the effective thermal conductivity of the metal foam to that of the fluid is 257. As a result the ratio of the heat transfer coefficients is expected to be 28. Figure 17 shows the plots of h o /h c for different ReDh 共or equivalently flow velocity兲 for the different finned heat sinks. It is seen that the experimental values are consistently higher than the theoretical predictions in the entire range of Reynolds number. However, the overage decreases as ReDh is increased. This behavior can be possibly attributed to the effects of thermal dispersion and interfacial heat transfer due to local thermal nonequilibrium 共LTNE兲 关30兴. Combining the formulations stated in 关24兴 and 关30兴 for thermal dispersion and thermal nonequilibrium effects, respectively, one can postulate a correlation of the form Nu⫽ 冉 冊 冉 冊 h oD h k e ⫹k d D hk f 0.8 ⫽0.023 ReDh Pr0.4 ⫺Nus f ke ke d fke (15) 0.37 where k d /k e ⫽0.06 ReK Pre and Nus f ⫽0.52 Re0.5 关18兴. Ded f Pr pending on the relative contributions of the thermal dispersion Fig. 17 Heat transfer coefficient ratio for channel flows Journal of Electronic Packaging SEPTEMBER 2002, Vol. 124 Õ 161 Downloaded From: http://electronicpackaging.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Fig. 18 Comparison of the experimental and theoretical †Eq. „15…‡ Nusselt numbers 共second term on RHS兲 and the interfacial heat transfer 共third term兲, the ratio of the Nusselt numbers can increase or decrease. The solid line in Fig. 17 shows the ratio of the heat transfer coefficients h o /h c , as predicted by Eq. 共15兲. This prediciton shows the same trend as of the experimental data, i.e., h ratio decreases with ReDh . The same data is plotted in Fig. 18 in terms of Nu. The agreement is found to be generally good although the experimental Nusselt numbers are mostly lower than the theoretical predictions. Recall that in our heat sinks the metal foam had to be bonded to the base and fins using conductive thermal epoxies than if they were brazed. The discrepancy between the theoretical and experimental Nu may be attributed to this contact resistance problem. A conclusion from the above discussion is that perhaps a formulation on the lines of Eqs. 共11兲, 共13兲–共15兲 can be used to predict the heat transfer coefficients in these finned metal foam heat sinks. However, further refinement of this preliminary model is necessary to accurately nail down the thermal performance of these heat sinks, which is a focus of our future research. VIII Summary The performance of novel finned metal foam heat sinks was investigated under forced convection for potential application in cooling of electronic components. These heat sinks can be thought to be similar to longitudinal finned heat sinks where the air gap between two adjacent fins is replaced by high porosity metal foams. Experiments were conducted on aluminum foams of 90 percent porosity and pore size corresponding to 5 and 20 PPI. The forced convection results show that heat transfer is considerably enhanced when fins are incorporated in metal foams. The heat transfer coefficient increases with increase in the number of fins due to additional surface area available for heat transfer. However, this enhancement comes at the expense of excess pressure drop. Further, the relative enhancement in heat transfer coefficient progressively decreases with addition of fins. This can be attributed to the interference of boundary layers that results due to reduced channel gap with increase in the number of fins. Based on the heat transfer and pressure drop curves, the metal foam heat sink with four fins was found to be the optimum configuration for 20 PPI samples for our geometry. For the 5 PPI heat sinks, experiments were conducted with one, two, and four fins. Trends are found to be very similar to those for the 20 PPI heat sinks. Compared to different heat sink designs reported in literature, the performance of the finned metal foam heat sinks© was found to be superior. If 162 Õ Vol. 124, SEPTEMBER 2002 pressure drop is not a constraint, these heat sinks can enhance the heat transfer coefficient by about a factor of 6 compared to the commercially available finned heat sinks used for electronics cooling. However, if constraint is imposed on ⌬ P, the performance enhancement factor can be 1.5–2. Further, the results indicate that the 5 PPI samples result in higher heat transfer coefficients compared to the 20 PPI samples for a given pressure drop or fan power. Based on the experimental data, an empirical correlation for Nusselt number in terms of Peclet number and dimensionless ratio of hydraulic diameter to pore diameter, is proposed. A generalized Nusselt number formulation for the finned metal foam is also proposed that incorporates the effects of thermal dispersion and interfacial heat transfer between the solid and fluid phases. The agreement with the experimental data is promising. We finally note that our preliminary experimental results on natural convection in these heat sinks in horizontal configuration have also shown considerable enhancement in heat transfer compared to commercially available finned heat sinks or normal metal foam heat sink. These results will be presented in a follow-up paper. Acknowledgments We gratefully acknowledge the financial support received from CAMPmode, the Center for Advanced Manufacturing and Packaging of Microwave, Optical and Digital Electronics at the University of Colorado and IBM Co-operative Fellowship for the first author. We would specially like to thank Dr. V.V. Calmidi and Dr. Sanjeev Sathe of IBM Inc. for the many stimulating discussions and their valuable advice, and Dr. Brian Leyda 共Energy Research and Generation Inc.兲 and Ablestick Inc. for providing us with the metal foam and thermal epoxy samples, respectively. Nomenclature A C Cp D, d Da h H K k L ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ area 关 m2 兴 empirical constant specific heat 关J/kg-K兴 diameter 关m兴 Darcy number, K/H 2 average heat transfer coefficient 关 W/m2 -K兴 fin height 关m兴 permeability 关 m2 兴 thermal conductivity 关W/m-K兴 length of the heat sink 关m兴 Transactions of the ASME Downloaded From: http://electronicpackaging.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use n Nu P Pe Pr Q q⬙ Rex S t T U, u W x ⌬p ␣ ⌬ ␦ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ number of fins average Nusselt number, hL/k fan power 关W兴 Peclet number, ud p / ␣ Prandtl number, / ␣ heat input or dissipated 关W兴 heat flux 关 W/m2 兴 Reynolds number, ux/ channel gap 关m兴 fin thickness 关m兴 temperature 关°C or K兴 air velocity 关m/s兴 width of heat sink 关m兴 distance 关m兴 pressure drop 关 N/m2 兴 thermal diffusivity 关 m2 /s兴 difference boundary layer thickness 关m兴 fin efficiency viscosity 关kg/m-s兴 kinematic viscosity of air 关 m2 /s兴 Subscripts amb b c d e, eff f h K o p sf T ⬁ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ⫽ ambient base cross section, channel pore diameter, dispersion effective fins, fluid hydraulic permeability overall pore interfacial 共solid-fluid兲 thermal free stream References 关1兴 Semiconductor Industry Association, 1998, The national technology roadmap for semiconductors, SIA, California. 关2兴 Kraus, A. 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