Modified Maxwell model for predicting thermal conductivity of nanocomposites considering aggregation

Zhen, Wen-Kai; Lin, Zizhen; Huang, Congliang

doi:10.1088/1674-1056/26/11/114401

Cited by 8 publications

(2 citation statements)

References 38 publications

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“…In this measurement, the hot wire is sandwiched between two pieces of the same sample, and then the temperature is obtained by measuring the electrical resistance of the hot-wire. After obtaining the temperature–time curve, as shown in Figure 1c, the thermal conductivities of samples can easily be calculated by [37,38] k=q4πlnt2−lnt1T2−T1 where q is the electric heating power per unit length, and T1 and T2 are the temperatures at times t1 and t2, respectively. The instrumental error was less than 3%, and more details about this method can be found in our previous works [39,40,41].…”

Section: Methodsmentioning

confidence: 99%

Utilization of SiC and Cu Particles to Enhance Thermal and Mechanical Properties of Al Matrix Composites

Huang

Wang

et al. 2019

Materials

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In this work, SiC and Cu particles were utilized to enhance the thermal and mechanical properties of Al matrix composites. The ball-milling and cold-compact methods were applied to prepare Al matrix composites, and the uniform distribution of SiC and Cu particles in the composite confirms the validity of our preparation method. After characterizing the thermal conductivity and the compressibility of the prepared composites, results show that small particles have a higher potential to improve compressibility than large particles, which is attributed to the size effect of elastic modulus. The addition of SiC to the Al matrix will improve the compressibility behavior of Al matrix composites, and the compressibility can be enhanced by 100% when SiC content is increased from 0 to 30%. However, the addition of SiC particles has a negative effect on thermal conductivity because of the low thermal conductivity of SiC particles. The addition of Cu particles to Al-SiC MMCs could further slightly improve the compressibility behavior of Al-SiC/Cu MMCs, while the thermal conductivity could be enhanced by about 100% when the Cu content was increased from 0 to 30%. To meet the need for low density and high thermal conductivity in applications, it is more desirable to enhance the specific thermal conductivity by enlarging the preparation pressure and/or sintering temperature. This work is expected to supply some information for preparing Al matrix composites with low density but high thermal conductivity and high compressibility.

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Section: Methodsmentioning

confidence: 99%

Utilization of SiC and Cu Particles to Enhance Thermal and Mechanical Properties of Al Matrix Composites

Huang

Wang

et al. 2019

Materials

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“…More nano-related researches can be found in Refs. [33][34][35][36][37] and other papers. Mehmood and Iqbal [38] studied the effects of heat absorption and nanoparticles on natural convection heat transfer along the vertical wave cone, showing that the heat transfer rate and friction coefficient are positively related to the volume fraction.…”

Section: Introductionmentioning

confidence: 99%

Coupled flow and heat transfer of power-law nanofluids on non-isothermal rough rotary disk subjected to magnetic field

Pei¹,

Zhang²,

Zheng³

et al. 2022

Chinese Phys. B

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In this paper, we study coupled flow and heat transfer of power-law nanofluids on a non-isothermal rough rotating disk subject to a magnetic field. The problem is formulated in terms of specified curvilinear orthogonal coordinate system. An improved BVP4C algorithm is proposed and numerical solutions are obtained. The influence of volume fraction, types and shapes of nanoparticles, magnetic field and power-law index on the flow and heat transfer behavior are discussed.<br/>Results show that the power-law exponents (PLE), nanoparticle volume fraction (NVF) and magnetic field inclination angle (MFIA) are almost no effects on velocities in wave surface direction, but have small or significant effects on azimuth direction. NVF have remarkable influence on local Nusselt number (LNN) and friction coefficients (FC) in radial and azimuth directions (AD). LNN increases with NVF while FC in AD decrease. The types of nanoparticles, magnetic field strength and inclination have small effects on LNN, but they have remarkable effects on the friction coefficients with positively correlated while the inclination is negatively correlated with heat transfer rate. The size of the nanoparticle shape factor is positively correlated with LNN.

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Thermal and electrical conductivities of epoxy resin-based composites incorporated with carbon nanotubes and TiO2 for a thermoelectric application

et al. 2017

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Modified Maxwell model for predicting thermal conductivity of nanocomposites considering aggregation

Cited by 8 publications

References 38 publications

Utilization of SiC and Cu Particles to Enhance Thermal and Mechanical Properties of Al Matrix Composites

Utilization of SiC and Cu Particles to Enhance Thermal and Mechanical Properties of Al Matrix Composites

Coupled flow and heat transfer of power-law nanofluids on non-isothermal rough rotary disk subjected to magnetic field

Thermal and electrical conductivities of epoxy resin-based composites incorporated with carbon nanotubes and TiO2 for a thermoelectric application

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