Abstract
Maintaining constant temperature is of particular importance to the normal operation of electronic devices. Aiming at the question, this paper proposes an optimum design of nanostructures made of high thermal conductive nanomaterials to provide outstanding heat dissipation from the confined interior (possibly nanosized) to the microspaces of electronic devices. The design incorporates a carbon nanocone for conducting heat from the interior to the exterior of a miniature electronic device, with the optimum diameter, D _{0}, of the nanocone satisfying the relationship: D _{ 0 } ^{2} (x) ∝ x ^{1/2} where x is the position along the length direction of the carbon nanocone. Branched structure made of singlewalled carbon nanotubes (CNTs) are shown to be particularly suitable for the purpose. It was found that the total thermal resistance of a branched structure reaches a minimum when the diameter ratio, β* satisfies the relationship: β* = γ ^{0.25b} N ^{1/k*}, where γ is ratio of length, b = 0.3 to approximately 0.4 on the singlewalled CNTs, b = 0.6 to approximately 0.8 on the multiwalled CNTs, k* = 2 and N is the bifurcation number (N = 2, 3, 4 ...). The findings of this research provide a blueprint in designing miniaturized electronic devices with outstanding heat dissipation.
PACS numbers: 44.10.+i, 44.05.+e, 66.70.f, 61.48.De
Introduction
With the miniaturization of electronic devices and the increased integration density, the effective dissipation of heat becomes an important requirement for ensuring troublefree operation [1, 2]. The limited space available for heat dissipation, the high energy densities and the dynamically changing, and often unknown, locations of heat sources in micro and nanodevices [3], make it difficult to apply conventional thermal management strategies and techniques of heat transmission, such as convectiondriven heat fins, fluids, heat pastes, and metal wiring [3]. It is a challenge to find the best material and structure for providing excellent heat transfer within the severe space constraints.
Nanomaterials have been widely researched and found to possess novel properties [4–10], for example, singlewalled CNTs exhibit extraordinary strength [4], high electrical conductivity (4 × 10^{9} Acm^{2}) [5] and ultrahigh thermal conductivity (3,000 to 6,600 Wm^{2} K^{1}) [6, 7], which make them potentially useful in many applications in nanotechnology, electronics and other fields of material science [11–16]. It therefore follows that nanomaterial should be uniquely suitable for applications requiring exceptional heat transfer properties. Nevertheless, nanomaterials cannot be used directly due to area and volume constraints [17]; particularly in the case of the very small interior of electronic devices which is much smaller than their outside. It is also important to consider the transition from nano to microstructure or 'point' to bulk, which occurs from the interior to the exterior of electronic devices. Thus, for example, it is not possible to use singlewalled CNTs because of severe space constraints at the interior 'point' level. Therefore, it is necessary to design structures to satisfy space constraints, and, furthermore, to optimize the design to also satisfy the heat conduction requirements.
The use of branched nanostructures has been identified as an effective way to form functional elements that bridge nano to macro scale [18–22], for example, actin, cytoskeleton, bone, and collagen fiber networks in biological structures. Recently, Xu and Buehler [22] presented a novel concept involving the use of hierarchical structures as an effective means to create a bridge from the nano to the macroscale. Either from the confined interior to the exterior of electronic devices or from nano to microspaces, the space are limited. So, to find the proper structure is necessary. Nevertheless, no work appears to have been done on the optimum design of the heat conduction structures from the confined interior to the exterior of electronic devices and from nano to microspaces.
The objective of the present work is to propose such an optimum design based on the use of carbon nanocones and carbon nanotubes in the form of a conical and branched structure. In the Description of structure section, we give the detailed description of the heat conduction structure, from the interior of an electronic device to micro space, and in the Optimum design section, we present optimum design for heat conduction from the interior to the exterior and nano to microspaces of electronic devices. Lastly, some concluding remarks are given in the Conclusions section.
Description of structure
One promising conductive system which has been designed here, utilizes a carbon nanocone and branched structure consisting of singlewalled carbon nanotubes to conduct heat efficiently away from the interior of an electronic device (see Figure 1). The heat conduction route is marked in blue and with red arrows, as shown in Figure 1. It is assumed that the electronic device is cylindrical, and the volumetric heat generation rate from the cylinder is a uniform q''' within V. A carbon nanocone of ultrahigh thermal conductivity, k _{ p } is inserted into the cylindrical electronic device (or gap) to conduct the heat (See Figure 1(I)). The diameter of the carbon nanocone, D _{ 0 } (x), (see Figure 2) varies along its length, represented by x along the horizontal direction of the carbon nanocone. The heat will be conducted away from the electronic device, and then dissipated into the space through the branches (see Figure 1(II)). The structure is characterized according to each branch as follows: Let the length and diameter of a typical branch at some intermediate level k (k = 0, 1, 2, 3...m, where m is total level) be l _{ k } and d _{ k } , respectively, and introduce two scaling factors: β = d _{ k+1}/d _{ k }and γ = l _{ k+1}/l _{ k }, respectively. The elements of the structural design are shown in Figure 1.
Optimum design
Interior to the exterior of electronic devices
Because carbon nanocones are so thin and have an ultrahigh thermal conductivity, they may be considered as 'onedimensional', with the heat channeled practically along the x direction (i.e., along the axis of the tube). The temperature distribution in the carbon nanocone is shown qualitatively by the red arrows in Figure 1. The structural parameters are detailed in Figure 2(a). The heat generated by the electronic device and entered the carbon nanocone having an ultrahigh thermal conductivity k _{ p } is given by , where H _{0} is diameter of cylindrical electronic device. The unidirectional heat conduction through the carbon nanocone is given by the following equation [23]
The boundary conditions are:
where L _{0} is length of cylindrical electronic device or length of embedded nanocone. Applying the boundary condition (2) to Eq. 1 gives:
Integrating Eq. 4 with respect to x, the temperature drop from the thin taper end to the thick end of the nanocone can be derived as follows:
In order to achieve maximum heat conduction, T _{0} (0)  T _{0}(L _{0}) should be minimized. Since the volume of the nanocone:
is confined within a miniaturized device, to minimize T _{0} (0)  T _{0}(L _{0}) within the given constraints (6), the following integral should be minimized [24]:
where, λ is the Lagrange multiplier. The solution of Eq. 7 is the optimal diameter given by . λ can be obtained by substituting D _{0} ^{2} into Eq. 6. We therefore have:
Defining the porosity and combining Eqs. 8 and 5, gives:
The question now arises as to how good the D _{0} ^{2} design is relative to that using a uniform path having the thermal conductivity k _{ p } . For the path with a uniformly cylindrical dimension, and porosity , the minimized T _{0} (0)  T _{0}(L _{0}) can be expressed as follows:
By comparing Eqs. 9 and 10, it can be seen that tapering as represented by Eq. 9, produces a 5.6% lower value for T _{0} (0)  T _{0} (L _{0}) than the uniform path design represented by Eq. 10. The optimal designs are illustrated in Figure 2(b). Three curves represent the three shapes of the nanocone corresponding to three different volumes of the nanocone (viz. Vp).
Nano to microspaces
Method
As discussed above, optimum heat conduction pathways made of carbon nanocones can be optimally designed to transfer heat efficiently from the interior to the exterior of a miniaturized electronic device; however, heat may still not be rapidly dissipated into the surrounding space as exterior surface of the miniaturized electronic device is small (possibly in nanoscale). It is therefore desirable to channel the heat from the nanoscale exterior surface of the electronic device the micro or larger space. Bifurcate singlewalled CNTs have been produced and exhibited outstanding performance compared to conventional material [25–27]. The idea is inspired by recent work on concept of using a biologically inspired approach of hierarchical structures [22]. The hierarchical structure is an effective way to provide a bridge between the nano to the macro level in space. Such structures are considered to be highly advantageous over conventional structures, such as convectiondriven heat fins, fluids, heat pastes, and metal wiring, in heat dissipation. However, the optimization of such a branched network of CNTs for heat dissipation has not been analyzed so far. This section thus deals in detail with the optimum design of bifurcate singlewalled CNTs for efficiently conducting heat from nano to microspaces.
Figure 3(a) and 3(b) illustrate a generalized branched structure of singlewalled carbon nanotube with bifurcate number N = 2 and total level m = 2 and the equivalent thermalelectrical analogy network, respectively. According to Fourier's law, the thermal resistance of a singlewalled CNT of the k th level channel can be expressed as: R _{ k } = l _{ k } /(λA _{ k } ) [28], where the [29–31] (The constant a is a function of heat capacity, the averaged velocity, mean free path of the energy carriers, temperature, etc. The power exponent b = 0.3 to approximately 0.4 [29, 30] on the singlewalled CNTs, while multiwalled CNTs of b = 0.6 to approximately 0.8 [31]). The total thermal resistance, R _{ t } , of the entire branched structure of singlewalled carbon nanotubes is given as follows:
where l _{0} and d _{0} are the length and diameter of the 0th branching level.
Because of space limitations, the branched structure can be equivalent to a singlewalled CNT, and with the volume and length being constraints, the design of the branched structure can be optimized. The thermal resistance of the equivalent singlewalled CNT, R _{ s } , can be written as:
where: l _{ s } and A _{ s } are the equivalent length (effective length) and crosssectional area (effective crosssectional area) of the branched structure, respectively. The branched structure volume, V, can be expressed as:
The equivalent length of the branched structure, l _{ s } , is equal to that of the branched structure, L, and is given by:
For given an electronic device, the space may be limited by the design. So the length (L) of the branched structure may be a limiting factor. With (L) being fixed, Eq. (14) implies that, the branched level number m, the length (l _{ 0 } ) of the 0th branched singlewalled carbon nanotube and the length ratio (γ) can be optimized to maximize heat conduction.
According to the relationship between total volume and effective length, i.e., V = A _{ s } L, the effective crosssectional area, A _{ s } , can be derived as follows:
By substituting Eqs. 14 and 15, into Eq. 12, the thermal resistance, R _{ s } , of the equivalent singlewalled carbon nanotube of the same volume as those of the branched structure can be derived as follows:
Combining Eqs. 11 and 16, the dimensionless effective thermal resistance, R ^{+} , of a branched structure is obtained as follows:
R ^{+} represents the ratio of the thermal resistance of the branched structure of singlewalled carbon nanotubes, R _{ t } , to that of the equivalent R _{ s } , under the constraint of total volume, and which is a function of γ, β, N, m, and b. As can be seen, equation (17) involves higher order variables, which makes it difficult to attain the optimum scaling relations analytically.
Results and discussions
To characterize the influence of the structural parameters of branched structures of singlewalled carbon nanotubes on the overall thermal resistance, under the volume constraint, the effective thermal resistance of the entire structure (shown in Figure 1(II)) is first analyzed. Based on Eq. 17, the results of the detailed analysis are plotted in Figure 4. Figures 4 shows the effective thermal resistance, R ^{+} , plotted against the diameter ratio β, for different values of m, γ, N, and b, respectively. From these plots, it is apparent that, for a fixed volume, the total branched structure has a higher thermal resistance than the singlewalled carbon nanotube. It is therefore strategically important to establish the optimum structure. It can be seen that the effective thermal resistance R ^{+} , first decreases then increases with increasing diameter ratio β. There is an optimum diameter ratio β*, at which the total thermal resistance of the branched structure is at its minimum and equal to the thermal resistance of the singlewalled carbon nanotube. This represents an optimum condition in designing the branched structure. Furthermore, as can be seen from Figure 4a, the optimum diameter ratio β*, is independent of the number of branching levels m. On the other hand, as can be seen from Figure 4b, c, d, length ratio γ, the bifurcation number N, and power exponents b affect the optimum diameter ratio β*. In other words, the value of the optimum diameter ratio β*, depends on the length ratio γ, bifurcation number N and power exponents b. For example, when b = 0.3, β* = 0.735 at N = 2, and γ = 0.6; β* = 0.726 at N = 2 and γ = 0.7; β* = 0.60 at N = 3 and γ = 0.6; and β* = 0.593 at N = 3 and γ = 0.7. In addition, from Figure 4a, it can be seen that the effective thermal resistance R ^{+} increases with increase of the number of the branching levels m. This is because when the branching levels m increases, the network becomes densely filled with much slenderer branches. Figure 4b also denotes that the effective thermal resistance R ^{+} increases with the increase of the length ratio γ. This is because a higher length ratio γ implies longer branches. From Figure 4c, it also can be seen that when the diameter ratio is smaller than optimum diameter ratio (viz., β < β*), the effective thermal resistance R ^{+} decreases with increase of bifurcation number N, while the diameter ratio is bigger than optimum diameter ratio (viz., β > β*), the trends is just opposite. The reason is that when β < β*, the increase of the parallel channels in every level leads to lower total thermal resistance; but when β > β*, the increase of the parallel channels in every level will increase effective volume of total branched structure, leading to an opposite trend. By plotting the logarithm of the optimum diameter ratio β*, against the logarithm of the bifurcation number N (see Figure 5), it is apparent that or β* = γ ^{0.25b} N ^{1/k*}, where, γ is ratio of length, b = 0.3 to approximately 0.4 on the singlewalled CNTs, b = 0.6 to approximately 0.8 on the multiwalled CNTs, N is the bifurcation number, N = 2, 3, 4,......, k* is the power exponent and k = 1/k* =  0.5 as shown in Figure 5. From Figures 4c and 5a, it can be observed that there is a smaller optimum diameter ratio with the increase of bifurcation number N.
By coupling Eqs. 13 and 14 and applying the optimum diameter ratio, the optimum structural parameters of branched singlewall carbon nanotubes can be derived under the constraint of the total volume (V) and length (L). The backgrounds of Figure 4a, b show two optimum designs of the branched singlewall carbon nanotubes with b = 0.3, m = 2, N = 2 and different length ratio γ. The design in the background of Figure 4a has a smaller value of γ, while that of Figure 4b has a greater value of γ. To achieve optimum heat conduction and dissipation under the constraints of the total volume (V) and length (L) of the branched carbon nanotubes structure, the bigger γ, the smaller the length (l _{ 0 } ) of the 0th branch.
Conclusions
In this paper, the optimum design of carbon nanostructure for most efficiently dissipating heat from the confined interior of electronic devices to the micro space is analyzed. It is found that the optimum diameter, D _{0}, of carbon nanocones satisfies the relationship, . For transmitting heat from the nanoscaled surface of electronic devices to the microspace, the total thermal resistance of a branched structure reaches a minimum when the diameter ratio, β*, satisfies β* = γ ^{0.25b} N ^{1/k*}, where, γ is ratio of length, b = 0.3 to approximately 0.4 on the singlewalled CNTS, b = 0.6 to approximately 0.8 on the multiwalled CNTS, k* = 2 and N = the bifurcation number (N = 2, 3, 4,......) under the volume constraints. If space is the only limitation, the optimum diameter remains applicable. These findings help optimize the design of heat conducting media from nano to microstructures. It must be noted that the present work is an improvement from the Ref. [22], which showed hierarchical structure is effective in providing a bridge between the nano to the macro level for heat transfer. The present work provides a theoretical prediction of how such heat dissipater can be optimally designed.
Despite recent progress in synthesizing and manipulating nanocones and branched singlewalled CNTs [25–27, 32–34], further work is necessary to perfect techniques and systems for the fabrication of nanostructures and creation of seamless links between the individual singlewalled CNT elements of the branched structures, thereby reducing the interfacial thermal resistance [35–37], as well as to precisely control the scale of nanostructures.
Abbreviations
 CNTs:

carbon nanotubes.
References
Chen G: Nanoscale energy transport and conversion. New York: Oxford University Press; 2005.
Tien CL: Microscale energy transfer, chemical and mechanical engineering. Boca RAton: CRC; 1997.
Simons RE, Antonetti VW, Nakayama W, Oktay S: Heat transfer in electronic packages. In Microelectronics Packaging Handbook. New York: Chapman and Hall; 1997.
Hong SH, Myung S: Nanotube electronics: a flexible approach to mobility. Nat Nanotechnol 2007, 2: 207–208. 10.1038/nnano.2007.89
Berber S, Kwon YK, Tománek D: Unusually high thermal conductivity of carbon nanotubes. Phys Rev Lett 2000, 84: 4613. 10.1103/PhysRevLett.84.4613
Pop E, Mann D, Wang Q, Goodson K, Dai HJ: Thermal conductance of an individual singlewall carbon nanotube above room temperature. Nano Lett 2006, 6: 96–100. 10.1021/nl052145f
Helgesen G, Knudsen KD, Pinheiro JP, Skjeltorp AT, Svåsand E, HeibergAndersen H, Elgsaeter A, Garberg T, Naess SN, Raaen S, Tverdal MF, Yu X, Mel TB: Carbon nanocones: a variety of noncrystalline graphite. Mater Res Soc Symp Proc 2007, 1057: 24–29.
Brinkmann G, Fowler PW, Manolopoulos DE, Palser AHR: A census of nanotube caps. Chem Phys Lett 1999, 315: 335347.
Shenderova OA, Lawson BL, Areshkin D, Brenner DW: Predicted structure and electronic properties of individual carbon nanocones and nanostructures assembled from nanocones and nanostructures assembled from nanocones. Nanotechnolo 2001, 12: 191–197. 10.1088/09574484/12/3/302
Reich S, Li L, Robertson J: Structure and formation energy of carbon nanotube caps. Phys Rev B 2005, 72: 165423.
Gong XJ, Li JY, Lu HJ, Wan RZ, Li JC, Hu J, Fang HP: A chargedriven molecular water pump. Nat Nanotechnol 2007, 2: 709–712. 10.1038/nnano.2007.320
Yang N, Zhang G, Li BW: Carbon nanocone: a promising thermal rectifier. Appl Phys Lett 2008, 93: 243111. 10.1063/1.3049603
Tu YS, Xiu P, Wan RZ, Hu J, Zhou RH, Fang HP: Watermediated signal multiplication with Yshaped carbon nanotubes. Proc Natl Acad Sci USA 2009, 106: 18120–18124. 10.1073/pnas.0902676106
Song J, Whang D, McAlpine MC, Friedman RS, Wu Y, Lieber CM: Scalable interconnection and integration of nanowire devices without registration. Nano Lett 2004, 4: 915–919. 10.1021/nl049659j
Kordas K, Tóth G, Moilanen P, Kumpumäki M, Vähäkangas J, Uusimäki A, Vajtai R, Ajayan PM: Chip cooling with integrated carbon nanotube microfin architectures. Appl Phys Lett 2007, 90: 123105. 10.1063/1.2714281
Gannon CJ, Cherukuri P, Yakobson BI, Cognet L, Kanzius JS, Kittrell C, Weisman RB, Pasquali M, Schmidt HK, Smalley RE, Curley SA: Carbon nanotubeenhanced thermal destruction of cancer cells in a noninvasive radiofrequency field. Cancer 2007, 110: 2654–2665. 10.1002/cncr.23155
Prasher R: Predicting the thermal resistance of nanosized constrictions. Nano Lett 2005, 5: 2155–2159. 10.1021/nl051710b
Dong H, Paramonov SE, Hartgerink JD: Selfassembly of αhelical coiled coil nanofibers. J Am Chem Soc 2008, 130: 13691–13695. 10.1021/ja8037323
Fratzl P, Weinkamer R: Nature's hierarchical materials. Prog Mater Sci 2007, 52: 1263–1334. 10.1016/j.pmatsci.2007.06.001
Alberts B, Johnson A, Lewis J, Raff M, Roberts K, Walter P: Molecular biology of the cell. New York: Garland Sciences, Taylor and Francis; 2002.
Keten S, Buehler MJ: Geometric confinement governs the rupture strength of Hbond assemblies at a critical length scale. Nano Lett 2008, 8: 743–748. 10.1021/nl0731670
Xu Z, Buehler MJ: Hierarchical nanostructures are crucial to mitigate ultrasmall thermal point loads. Nano Lett 2009, 9: 2065–2072. 10.1021/nl900399b
Bejan A: Heat transfer. New York: Wiley; 1993.
Ledezma GA, Bejan A, Errera MR: Constructal tree networks for heat transfer. J Appl Phys 1997, 82: 89100.
Li J, Papadopoulos C, Xu J: Growing Yjunction carbon nanotubes. Nature 2000, 402: 253–254.
Wei DC, Liu YQ: ReviewThe intramolecular junctions of carbon nanotubes. Adv Mater 2008, 20: 2815–2841. 10.1002/adma.200800589
Li N, Chen XX, Stoica L, Xia W, Qian J, Aßmann J, Schuhmann W: The catalytic synthesis of threedimensional hierarchical carbon nanotube composites with high electrical conductivity based on electrochemical iron deposition. Adv Mater 2007, 19: 2957–2960. 10.1002/adma.200602625
Xu P, Yu BM, Yun MJ, Zou MQ: Heat conduction in fractal treelike branched networks. Int J Heat Mass Transfer 2006, 49: 3746–3751. 10.1016/j.ijheatmasstransfer.2006.01.033
Maruyama S: A molecular dynamics simulation of heat conduction in finite length SWNTs. Phys B 2002, 323: 193–195. 10.1016/S09214526(02)008980
Zhang G, Li BW: Thermal conductivity of nanotubes revisited: effects of chirality, isotope impurity, tube length, and temperature. J Chem Phys 2005, 123: 014705. 10.1063/1.1949166
Chang CW, Okawa D, Garcia H, Majumdar A, Zettl A: Breakdown of Fourier's Law in Nanotube Thermal Conductors. Phys Rev Lett 2008, 101: 075903.
Krishnan A, Dujardin E, Treacy MMJ, Hugdahl J, Lynum S, Ebbesen TW: Graphitic cones and the nucleation of curved carbon surfaces. Nature 1997, 388: 451–454. 10.1038/41284
Naess SN, Elgsaeter A, Helgesen G, Knudsen KD: Carbon nanocones: wall structure and morphology. Sci Technol Adv Mater 2009, 10: 065002. 10.1088/14686996/10/6/065002
Hu JQ, Bando Y, Zhan JH, Zhi CY, Xu FF, Golberg D: Tapered carbon nanotubes from activated carbon powders. Adv Mater 2006, 18: 197–200. 10.1002/adma.200501571
Meng GW, Han FM, Zhao XL, Chen BS, Yang DC, Liu JX, Xu QL, Kong MG, Zhu XG, Jung YJ, Yang YJ, Chu ZQ, Ye M, Kar S, Vajtai R, Ajayan PM: A general synthetic approach to interconnected nanowire/nanotube and nanotube/nanowire/nanotube heterojunctions with branched topology. Angew Chem Int Ed 2009, 48: 7166–7306. 10.1002/anie.200901999
Hobbie EK, Fagan JA, Becker ML, Hudson SD, Fakhri N, Pasquali M: Selfassembly of ordered nanowires in biological suspensions of singlewall carbon nanotubes. ACS Nano 2009, 3: 189–196. 10.1021/nn800609y
Xu ZP, Buehler MJ: Nanoengineering heat transfer performance at carbon nanotube interfaces. ACS Nano 2009, 3: 2767–2775. 10.1021/nn9006237
Acknowledgments
This work was partially supported by the Research Grant Council of HKSAR (Project No. PolyU 5158/10E), the National Natural Science Foundation of China under Grant No's 10932010, 10972199, 11005093, 11072220 and 11079029, and the Zhejiang Provincial Natural Science under Grant Nos. Z6090556 and Y6100384.
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JLK performed all the research and drafted the manuscript. HGQ, HJL, YL, and YSX helped to analyze data and contributed equally; WFM and JTF designed the research and supervised all of the studies. All the authors discussed the results and approved the final manuscript.
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Kou, J., Qian, H., Lu, H. et al. Optimizing the design of nanostructures for improved thermal conduction within confined spaces. Nanoscale Res Lett 6, 422 (2011). https://doi.org/10.1186/1556276X6422
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DOI: https://doi.org/10.1186/1556276X6422
Keywords
 Electronic Device
 Thermal Resistance
 Power Exponent
 Total Thermal Resistance
 Multiwalled CNTs