Document Type : Original Article
Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, Henan, China
Carbon nanotubes can exhibit a unique ability to conduct heat , referred to as heat conduction properties. A thermal barrier is formed in the radial direction and it was reported that thermal conductivity of an individual single-walled carbon nanotube is around 1.52 W/(m·K) in the radial direction at room temperature . In contrast, the thermal conductivity in the longitudinal direction is around 3500 W/(m·K) at room temperature . Therefore, carbon nanotubes show superior heat conduction properties along the longitude directions. Consequently, carbon nanotubes outperform diamond as the best thermal conductor. When macroscopic, ordered assemblies are formed, the thermal conductivity could reach up to around 1500 W/(m·K) at room temperature . The heat conduction properties of carbon nanotube networks vary significantly, with a minimum of thermal conductivity less than 0.1 W/(m·K) . The heat conduction properties depend on a variety of factors such as impurities and misalignments. Single-walled carbon nanotube are stable up to around 1000 K in air and around 3000 K in vacuum . The study of heat transport phenomena involved in carbon nanotubes is an active area of interest  due to the potential for applications in thermal management.
Carbon nanotubes have unique thermal properties, potentially making this nanostructured material useful in thermal management applications such as nanofluids. Traditional fluids play an important role in many industry fields, but their inherently low thermal conductivity seriously hampers the development of energy-efficient heat transfer fluids. However, the heat conduction properties can be improved significantly by dispersing nanoparticles, such as carbon nanotubes, in fluids . Dispersion can be achieved by physical and chemical treatments. Fluids containing nanoparticles present substantial advantages over traditional fluids in terms of thermal conductivity and heat-transfer capability . The thermal conductivity can be substantially increased, which is crucial in applications with high heat-transfer capability demand . For example, nanofluids in solar collectors is an important application  in which nanofluids are employed for their tunable optical properties . Nanoparticles of various materials have been used to produce nanofluids, such as titania, copper, aluminum, copper oxide, aluminum oxide, and carbon nanotubes. Of these nanoparticles, carbon nanotubes hold the greatest promise due to their unique heat conduction properties.
The thermal conductivity of carbon nanotubes depends heavily upon crystallographic defects. Phonons can scatter due to crystallographic defects leading to an increased relaxation rate, thereby decreasing thermal conductivity associated with the reduced mean free path of phonons . In single-walled carbon nanotubes, the mean free path varies from 50 nm to 1500 nm . Crystallographic defects will lead to a significant reduction in the mean free path , for example, 4 nm or less . The thermal conductivity of carbon nanotubes also depends upon the structure of the nanotubes. The thermal conductivity of multi-walled carbon nanotubes is significantly higher than the sum of each shell due to the inter-wall interactions . With an identical diameter configuration, single-walled carbon nanotubes have better heat conduction properties  due to an increase in cross-sectional area.
Bulk carbon nanotubes can be used as composite fibers in polymers , but the bulk structure will reduce the ability to conduct heat, causing a decrease in thermal conductivity . The thermal conductivity of carbon nanotube fibers is comparable to that of common metals . However, through chemical modification, the ability to conduct heat is comparable to or higher than that of highly conductive metals such as copper . The thermal conductivity varies significantly depending upon the density and cross-sectional area of the bulk material. The bulk carbon nanotube material contains pores . Consequently, the thermal conductivity of the non-compact bulk material is much lower than that of the skeletal material  since the bulk volume is inclusive of the void fraction. The skeletal portion of the bulk material is often referred to as the “matrix” or “frame” [37, 38]. However, there is considerable uncertainty in the determination of the density of the bulk material . Consequently, the effects of carbon nanotube structure, purity, and alignment on the thermal conductivity of carbon films and fibers are still poorly understood. Little research has been conducted to determine which parameters are important for high thermal conductivity.
This study relates to the heat conduction properties of carbon nanotube films and fibers. Carbon nanotube films and fibers were produced, and the thermal conductivity was measured using a steady-state method. The effects of carbon nanotube structure, purity, and alignment on the thermal conductivity were investigated to understand the characteristics of thermal transport in the nanostructured material. The objective is to gain insight into the fundamental characteristics of thermal transport in carbon nanotubes. Particular emphasis is placed on the dependence of thermal conductivity on carbon nanotube structure, purity, and alignment, with an attempt to improve the heat conduction properties for carbon nanotube films and fibers.
Carbon nanotube films were produced by spinning continuously onto a single rotational winder of a spinning machine. The preparation process of carbon nanotube films is depicted schematically in (Fig 1). A dense film was laid down with aligned carbon nanotube bundles. The dense film was sprayed with acetone to condense the carbon nanotube networks further. The carbon nanotubes were highly aligned by preparing a dense film in such a manner , although the surface tension effect is significant in the extrusion process . A laser was used to cut the carbon nanotube film into small pieces to measure thermal conductivity. Carbon nanotube fibers were produced by stretching the dense film with two rotational winders of the spinning machine. The two rotational winders operate with only a small difference in rotation rate.
The prepared carbon nanotube fibers’ characterizations and surface morphology were determined using scanning electron microscopy (SU3800, Hitachi High-Tech Corporation).
Since the diameter of the needle-like samples was extremely small, the parallel thermal conductance technique  was employed to determine the thermal conductivity. Fourier’s Law was used to compute the thermal conductivity. This steady-state method has been carried out to measure the thermal conductivity of boron nitride nanotube sheets , carbon nanotube sheets , and yarns . The configuration of the measurement system is depicted schematically in (Fig. 2). A preliminary measurement was performed with respect to the sample holder itself so as to determine the background or baseline heat conduction and losses. The sample was attached, and the thermal conductance was measured. In this method, all conductance factors arising from the system are accounted for. The radiative heat losses were caused primarily by the thermal radiation from the hot surface of the heater. However, such heat losses were already included in the baseline. Therefore, a correction factor of 0.5 was introduced into the method  to account for the radiative heat losses.
The linear mass density of the carbon nanotube films was measured using a gravimetric method . On the other hand, the linear mass density of the carbon nanotube fibers was measured using a vibroscope method . The fundamental frequency was measured. The specific thermal conductivity is defined as the thermal conductivity normalized by bulk density. The bulk density can be determined in terms of the linear mass density and the cross-sectional area.
The carbon nanotubes showed highly alliance. However, the fiber material contains a relatively small amount of short, deformed carbon nanotubes. The carbon nanotubes are of the order of several hundred microns (Fig. 3).
Four samples are prepared with different structures, purity, and alignment. Three structural parameters are selected in terms of alignment, purity, and the number of walls (Fig. 4). For type A, the carbon nanotube films or fibers are composed mostly of multi-walled carbon nanotubes. In addition, there is a small amount of short deformed carbon nanotubes. For type B, a mixture of carbon nanotubes is used. Specifically, the carbon nanotube films or fibers are composed of single-walled and multi-walled carbon nanotubes. In addition, there is a small amount of amorphous carbon. For type C, the carbon nanotube films or fibers are composed mostly of single-walled carbon nanotubes. In addition, there is a small amount of non-carbonaceous impurities. For type D, the carbon nanotube films or fibers are composed of single-walled carbon nanotubes with high purity. Understanding which parameters are important for high thermal conductivity is made possible by comparing heat conduction properties between the nanostructured materials.
The effects of structure, purity, and alignment on the specific conductivity of carbon nanotube films are illustrated in (Fig. 5 A) at different temperatures. The specific conductivity of the A-type film was lower than that of the other tested film types. Multi-walled carbon nanotubes generally have low thermal conductivity. Therefore, the specific conductivity A-type film was lower compared to films composed of single-walled carbon nanotubes. The specific conductivity of the D-type was higher than other tested film types. This superiority is due to the lack of non-carbonaceous impurities, which reduce the degree of bundle contact between single-walled carbon nanotubes and degrade the thermal performance of the C-type film. It is noted that specific thermal conductivity increased with the increase of test temperature in all types; however, the differences between the studied types in terms of specific conductivity also increased. For instance, the specific conductivity of D-type film at around 210 K was similar to that of A-type at 300 K. These results further highlight the importance of structure and purity in enhancing specific conductivity, especially at higher temperatures.
The effect of temperature on thermal conductivity for the carbon nanotube films is illustrated in (Fig. 5 B). The power law index was 1.87, 0.99, 1.80, and 1.96 for the thermal conductivity of the A, B, C, and D type films, respectively. Therefore, the thermal conductivity of all films presents power law dependence with temperature except for that of the B-type. The small value in B-type refers to a reduction in the propagation of phonons dimensionality  due to an increase in the degree of bundle alignment and contact. On the other hand, the power law index was the largest, although the small degree of bundle alignment, which reduces the mechanical stiffness of the film
The effect of bulk density on the specific thermal conductivity of the tested carbon nanotube films at room temperature is illustrated in (Fig. 5 C). The highest specific conductivity was achieved in D-type film. The lowest specific conductivity was obtained for the A-type film. A tentative explanation could be made for the distinctive phenomenon as the specific thermal conductivity decreases by increasing bulk density. The low bulk density of the D-type film compensates for the adverse effect of poor alignment on specific thermal conductivity. Therefore, the bulk density may be controlled to produce carbon nanotube films with high thermal conductivity.
The specific conductivity of the tested fibers was around 10 W·cm2/(K·g) at room temperature (Fig. 6 A), which is comparable to or higher than that of pristine and chemically modified carbon nanotube fibers [ 32]. A maximum specific thermal conductivity was obtained at room temperature, which corresponds with previous reports . The maximum specific thermal conductivity represented by the peaks indicates the onset of Umklapp scattering. The Umklapp scattering is the dominant thermal resistivity process, limiting the specific thermal conductivity. The high thermal conductivity of carbon fibers is often associated with a high modulus of elasticity . Therefore, the carbon nanotube fibers have sufficient strength to be used as a reinforcement for composite materials. The specific conductivity of the fibers was higher than that of the films. This increase is caused by the improved degree of bundle alignment for the fibers. A high degree of bundle alignment will lead to an increase in thermal conductivity due to the increased interfacial area between the carbon nanotubes.
The effect of cross-sectional area on the specific thermal conductivity for the carbon nanotube films and fibers at room temperature is illustrated in (Fig 6 B). Previous data was also included for comparison [55-58]. Under the same cross-sectional area conditions, the specific conductivities of the films and fibers were higher than those previously reported in the literature. The carbon nanotubes were of the order of several hundred microns, which is significantly greater than the phonon mean free path. As the length of carbon nanotubes increases, the effect of temperature on thermal conductivity becomes more pronounced . The length of the carbon nanotubes contained in tested films and fibers was much greater than that of previous reports. Consequently, the current films and fibers were highly efficient at conducting heat and typically have a higher specific thermal conductivity in comparison to the previous data.
Carbon nanotube films and fibers were produced, and the thermal conductivity was measured using a steady-state method. The effects of carbon nanotube structure, purity, and alignment on the heat conduction properties of carbon films and fibers were investigated to understand thermal transport characteristics in the nanostructured material. The major conclusions are summarized as follows:
Conflict of interest statement
The author declared no conflict of interest.
The author declared that no funding was received in relation to this manuscript.
Data availability statement
The author declared that all related data are included in the article.
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