Relaxation of vibrational energy in fullerene suspensions

Huxtable, Scott T.; Cahill, David G.; Shenogin, Sergei; Keblinski, Pawel

doi:10.1016/j.cplett.2005.03.052

Cited by 21 publications

(33 citation statements)

References 31 publications

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“…The C84-orgnanic solvent interface thermal conductance found by Huxtable et. al [40]. ) has almost no vibration spectra overlap, and is much lower than our data.…”

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confidence: 82%

Equilibrium Molecular Dynamics Study of Lattice Thermal Conductivity/Conductance of Au-SAM-Au Junctions

Luo

Lloyd²

2009

Journal of Heat Transfer

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In this paper, equilibrium molecular dynamics simulations were performed on Au-SAM (self-assembly monolayer)-Au junctions. The SAM consisted of alkanedithiolThe out-of-plane (z-direction) thermal conductance and in-plane (x-and y-direction) thermal conductivities were calculated. Simulation finite size effect, gold substrate thickness effect, temperature effect, normal pressure effect, molecule chain length effect and molecule coverage effect on thermal conductivity/conductance were studied. Vibration power spectra of gold atoms in the substrate and sulfur atoms in the SAM were calculated and vibration coupling of these two parts was analyzed. The calculated thermal conductance values of Au-SAM-Au junctions are in the range of experimental data on metal-nonmetal junctions. The temperature dependence of thermal conductance has similar trend to experimental observations. It is concluded that the Au-SAM interface resistance dominates thermal energy transport across the junction, while the substrate is the dominant media in which in-plane thermal energy transport happens.

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“…The C84-orgnanic solvent interface thermal conductance found by Huxtable et. al [40]. ) has almost no vibration spectra overlap, and is much lower than our data.…”

contrasting

confidence: 82%

Equilibrium Molecular Dynamics Study of Lattice Thermal Conductivity/Conductance of Au-SAM-Au Junctions

Luo

Lloyd²

2009

Journal of Heat Transfer

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“…These differences among materials may be partially interpreted in terms of the vibrational coupling between the material in question and the solvent. Other studies have focused on small interfaces, with complex shapes as in biomolecules [11,12,13,14], or spherical (nanoparticles) and cylindrical (nanotubes) shapes [15,16,17,18,19,20,21,22]. Similar interfacial conductances, 10 2 MW/ (m 2 K are reported for these cases, with the exception of the small values reported for nanotube suspensions [23] , 12 MW/ (m 2 K), and AuPd nanoparticles dispersed in toluene, 5 MW/ (m 2 K).…”

Section: Introductionsupporting

confidence: 53%

Heat transfer in soft nanoscale interfaces: the influence of interface curvature

2009

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We investigate using transient non-equilibrium molecular dynamics simulations, heat transfer through nanometer scale interfaces consisting of n-decane (2-12 nm diameter) droplets in water. Using computer simulation results of the temperature relaxation of the nanodroplet as a function of time we have computed the thermal conductivity and the interfacial conductance of the droplet and the droplet-water interface respectively. We find that the thermal conductivity of the n-decane droplets is insensitive to droplet size, whereas the interfacial conductance shows a strong dependence with the droplet radius. We rationalize this behavior in terms of a modification of the n-decane-water surface tension with droplet curvature. This enhancement in interfacial conductance would contribute, in the case of a suspension, to an increase in the thermal conductivity with decreasing particle radius. This notion is consistent with recent experimental studies of nanofluids. We also investigate the accuracy of different diffusion equations to model the temperature relaxation in non stationary non equilibrium processes. We show that the modeling of heat transfer across a nanodroplet-fluid interface requires the consideration of the thermal conductivity of the nanodroplet as well as the temperature discontinuity across the interface. The relevance of this result in diffusion models that neglect thermal conductivity effects in the modeling of the temperature relaxation is discussed.

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“…The challenge of achieving high effective thermal conductivity primarily originates from the large interfacial thermal resistance between the CNT and the surrounding polymer matrix [195]. The interfacial thermal resistance between CNT and polymer matrix can range from 0.1×10 −8 to 15×10 −8 m 2 ·K·W -1 [196][197][198][199]. When heat flows in a CNT composite, the majority of the temperature drop occurs at the interface while the temperature in CNTs essentially remains uniform [199].…”

Section: ) 1d Filler (Cnt)mentioning

confidence: 99%

Thermal conductivity of polymers and polymer nanocomposites

Huang

Qian

Yang

2018

Materials Science and Engineering: R: Reports

596

391

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Polymers are widely used in industry and in our daily life because of their diverse functionality, light weight, low cost and excellent chemical stability. However, on some applications such as heat exchangers and electronic packaging, the low thermal conductivity of polymers is one of the major technological barriers. Enhancing the thermal conductivity of polymers is important for these applications and has become a very active research topic over the past two decades. In this review article, we aim to: 1). systematically summarize the molecular level understanding on the thermal transport mechanisms in polymers in terms of polymer morphology, chain structure and inter-chain coupling; 2). highlight the rationales in the recent efforts in enhancing the thermal conductivity of nanostructured polymers and polymer nanocomposites. Finally, we outline the main advances, challenges and outlooks for highly thermal-conductive polymer and polymer nanocomposites. the inter-chain coupling. Fig. 1 Schematic diagrams of a polymer: (a) the morphology of a polymer consisting of crystalline and amorphous domains; (b) structure of a polymer chain.In addition to engineering the morphology of polymer chains, another common method to enhance the thermal conductivity of polymers is to blend polymers with highly thermal conductive fillers. The progress of nanotechnology over the last two decades not only provides more diverse high thermal conductivity fillers of different material types and topological shapes but also advances the understanding at the nanoscale. Fig. 2 shows a sketch of a polymer nanocomposite to illustrate the thermal transport mechanisms. In general, there are two types of polymer nanocomposites depending on whether nano-fillers form a network or not. When the filler concentration is low, no inter-filler networks could be formed, as shown in Fig. 2(a). The thermal conductivity is essentially determined by the filler-matrix coupling, i.e, interfacial thermal resistance, and the concentration and the geometric shapes of fillers. When the filler concentration is large enough, high conductivity fillers might form thermally conductive networks, as shown in Fig. 2(b). Although nanocomposites with filler network could possess a higher thermal conductivity than that without a network, their thermal conductivity could still be low due to the large inter-filler thermal contact resistance. Recently, three-dimensional fillers, such as carbon and graphene foams, have drawn a lot of attention. The fundamental thermal transport mechanisms and recent synthesis efforts in both types of nanocomposites are reviewed.This review article is organized as follows. In Section 2, we introduce the experimental progress on the enhancement of thermal conductivity by aligning polymer chains, and then review the methods to further tune the thermal conductivity by engineering chain structure and inter-chain coupling, as illustrated in Fig. 3(a). In Section 3, we discuss the thermal conductivity of polymer nanocomposites both with and without inter...

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Relaxation of vibrational energy in fullerene suspensions

Cited by 21 publications

References 31 publications

Equilibrium Molecular Dynamics Study of Lattice Thermal Conductivity/Conductance of Au-SAM-Au Junctions

Equilibrium Molecular Dynamics Study of Lattice Thermal Conductivity/Conductance of Au-SAM-Au Junctions

Heat transfer in soft nanoscale interfaces: the influence of interface curvature

Thermal conductivity of polymers and polymer nanocomposites

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