A simple model for thermal conductivity of carbon nanotube-based composites

Nan, Ce‐Wen; Shi, Zhan; Lin, Yuanhua

doi:10.1016/s0009-2614(03)00956-4

Cited by 419 publications

(159 citation statements)

References 13 publications

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“…The authors pointed out that these enhancements were higher compared to aqueous Al 2 O 3 , CuO, and diamond nanofluids for the same concentrations, and reasoned that this may be due to enhanced Brownian motion. Many researchers have developed analytical models to predict the thermal properties of nanofluids [40][41][42]. In these models, the requirement of the empirical determination of a few parameters on a case-by-case basis makes it less suitable for using it for the design and optimization of new or existing materials.…”

Section: S-swnts L-swnts Mwntsmentioning

confidence: 99%

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Patil

Seo²,

Kang

et al. 2016

Energies

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Nanofluids are suspended nano-sized particles in a base fluid. With increasing demand for more high efficiency thermal systems, nanofluids seem to be a promising option for researchers. As a result, numerous investigations have been undertaken to understand the behaviors of nanofluids. Since their discovery, the thermo-physical properties of nanofluids have been under intense research. Inadequate understanding of the mechanisms involved in the heat transfer of nanofluids has been the major obstacle for the development of sophisticated nanofluids with the desired properties. In this comprehensive review paper, investigations on synthesis, thermo-physical properties, and heat transfer mechanisms of nanofluids have been reviewed and presented. Results show that the thermal conductivity of nanofluids increases with the increase of the operating temperature. This can potentially be used for the efficiency enhancement of thermal systems under higher operating temperatures. In addition, this paper also provides details concerning dependency of the thermo-physical properties as well as synthesis and the heat transfer mechanism of the nanofluids.

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Section: S-swnts L-swnts Mwntsmentioning

confidence: 99%

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Patil

Seo²,

Kang

et al. 2016

Energies

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“…Nevertheless, the increases reported are relatively modest compared to the high intrinsic thermal conductivity of CNTs. The relatively small improvements may be due to the high interface thermal resistance 143,144 , and the large interfacial surface area between CNTs and the matrix. It is also worth noting that the intrinsic thermal conductivity of the CVD nanotubes used in composite systems will be lower than the ideal value.…”

Section: Functional Properties Of Cnt-compositesmentioning

confidence: 99%

Ceramic matrix composites containing carbon nanotubes

2009

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Due to the remarkable physical and mechanical properties of individual, perfect carbon nanotubes (CNTs), they are considered to be one of the most promising new reinforcements for structural composites. Their impressive electrical and thermal properties also suggest opportunities for multifunctional applications. In the context of inorganic matrix composites, researchers have particularly focussed on CNTs as toughening elements to overcome the intrinsic brittleness of the ceramic or glass material. Although there are now a number of studies published in the literature, these inorganic systems have received much less attention than CNT/polymer matrix composites. This paper reviews the current status of the research and development of CNT-loaded ceramic matrix composite materials. It includes a summary of the key issues related to the optimisation of CNT-based composites, with particular reference to brittle matrices and provides an overview of the processing techniques developed to 2 optimise dispersion quality, interfaces and density. The properties of the various composite systems are discussed, with an emphasis on toughness; a comprehensive comparative summary is provided, together with a discussion of the possible toughening mechanism that may operate. Lastly, a range of potential applications are discussed, concluding with a discussion of the scope for future developments in the field.3

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“…Nan et al (2003) have proposed a simple model for predicting the effective thermal conductivity of CNTs-reinforced composites in terms of a Maxwell-Garnett effective medium theory. Assuming a random dispersion of carbon nanotubes and high aspect ratio where p > 1000.…”

Section: Mathematical Prediction Model By Nan Et Al (2003)mentioning

confidence: 99%

“…However, some researchers have focused on evaluation of thermal conductivity of carbon nanotubes reinforced composite using numerical methods. In 2003, Nan et al [7] have suggested a simple mathematical model to predict the thermal conductivity behaviour of carbon nanotubes reinforced composites using conventional effective medium method. They reported that dispersion of a quite small amount of CNTs can result in a remarkable enhancement in the effective thermal conductivity of the composites.…”

Section: Introductionmentioning

confidence: 99%

Experimental Preparation and Numerical Simulation of High Thermal Conductive Cu/CNTs Nanocomposites

Muhsan

Ahmad

Mohamed³

et al. 2014

MATEC Web of Conferences

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Abstract. Due to the rapid growth of high performance electronics devices accompanied by overheating problem, heat dissipater nanocomposites material having ultra-high thermal conductivity and low coefficient of thermal expansion was proposed. In this work, a nanocomposite material made of copper (Cu) reinforced by multi-walled carbon nanotubes (CNTs) up to 10 vol. % was prepared and their thermal behaviour was measured experimentally and evaluated using numerical simulation. In order to numerically predict the thermal behaviour of Cu/CNTs composites, three different prediction methods were performed. The results showed that rules of mixture method records the highest thermal conductivity for all predicted composites. In contrast, the prediction model which takes into account the influence of the interface thermal resistance between CNTs and copper particles, has shown the lowest thermal conductivity which considered as the closest results to the experimental measurement. The experimentally measured thermal conductivities showed remarkable increase after adding 5 vol.% CNTs and higher than the thermal conductivities predicted via Nan models, indicating that the improved fabrication technique of powder injection molding that has been used to produced Cu/CNTs nanocomposites has overcome the challenges assumed in the mathematical models.

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A simple model for thermal conductivity of carbon nanotube-based composites

Cited by 419 publications

References 13 publications

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Ceramic matrix composites containing carbon nanotubes

Experimental Preparation and Numerical Simulation of High Thermal Conductive Cu/CNTs Nanocomposites

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