Effects of interfacial thermal barrier resistance and particle shape and size on the thermal conductivity of AlN/PI composites

Wang, Jiajun; Yi, Xiaosu

doi:10.1016/j.compscitech.2003.11.007

Cited by 145 publications

(51 citation statements)

References 16 publications

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“…To date, there are no data for the interfacial thermal resistance of U-Mo/Al composites. In case of AIN/PI composites, the interfacial thermal resistance was estimated as 3.32 × 10 −7 [22]. It was predicted that the interfacial thermal resistance of U-Mo/Al would be lower than other composite materials in that U-Mo/Al has a metallic bonding.…”

Section: Discussionmentioning

confidence: 99%

“…If the thermal resistance has a significant impact on the thermal conductivity, the particle size is one of the essential parameters for determining it. Numerous studies on composite systems [17][18][19][20][21][22] such as Ni/glass, ZnS/diamond, SiC/Al, diamond/Al, diamond/epoxy resins, and aluminum nitride powder filled polyimide (ANI/PI) showed that their effective conductivity may decrease with increasing particle size. This is because as the particle size decreases, the interfacial surface area between particles and the matrix increases.…”

Section: Interfacial Boundary Resistancementioning

confidence: 99%

See 1 more Smart Citation

Thermal conductivity of U–Mo/Al dispersion fuel: effects of particle shape and size, stereography, and heat generation

Cho

Sohn

Kim

2015

Journal of Nuclear Science and Technology

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This paper describes the effects of particle sphericity, interfacial thermal resistance, stereography, and heat generation on the thermal conductivity of U-Mo/Al dispersion fuel. The ABAQUS finite element method (FEM) tool was used to calculate the effective thermal conductivity of U-Mo/Al dispersion fuel by implementing fuel particles. For U-Mo/Al, the particle sphericity effect was insignificant. However, if the effect of the interfacial thermal resistance between the fuel particles and Al matrix was considered, the thermal conductivity of U-Mo/Al was increased as the particle size increases. To examine the effect of stereography, we compared the two-dimensional modeling and three-dimensional modeling. The results showed that the two-dimensional modeling predicted lower than the three-dimensional modeling. We also examined the effect of the presence of heat sources in the fuel particles and found a decrease in thermal conductivity of U-Mo/Al from that of the typical homogeneous heat generation modeling.

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Section: Discussionmentioning

confidence: 99%

Section: Interfacial Boundary Resistancementioning

confidence: 99%

Thermal conductivity of U–Mo/Al dispersion fuel: effects of particle shape and size, stereography, and heat generation

Cho

Sohn

Kim

2015

Journal of Nuclear Science and Technology

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“…The interfacial thermal resistance R k that offers resistance to heat flow reduces the effective conductivity of the nanoparticle in a composite medium (Jiajun and Xiao-Su 2004). This interfacial thermal resistance is dependent on the time constant τ of temperature decay of nanoparticle with the surrounding matrix, and it depends on the heat capacity C τ and thermal resistance of the nanoparticle-matrix interface R k (Shenogin et al 2004;Clancy and Gates 2006;Huxtable et al 2003).…”

Section: Atomistic Thermomechanical Properties Of Nanostructuresmentioning

confidence: 99%

Recent Developments in Multiscale Thermomechanical Analysis of Nanocomposites

Reddy

Unnikrishnan

2016

Advances in Nanocomposites

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Multifunctional nanocomposite materials have been used extensively in aerospace, mechanical, civil engineering industries, and other engineering applications. This is mainly due to the enhanced mechanical characteristics such as high strength-to-weight ratio and the unique thermal and physiochemical properties of these nanostructures. It has been reported that there are significant improvements in the thermal conductivity of composite structures with the addition of low volume fractions of graphene. To understand and develop efficient composite systems with desired thermal characteristics, it is necessary to develop accurate thermal transport models of these advanced composite systems. In this chapter, the authors discuss some of the recent developments in multiscale modeling of the thermal and mechanical properties of advanced nanocomposite systems. To enhance the theoretical model development discussed in this chapter, the authors have also included some relevant works from the literature.

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“…Numerical and theoretical approaches have also been developed to obtain the thermal conductivity of the composites in addition to the experimental methods. The common analytical expressions include Maxwell's equation (Maxwell 1954), Maxwell-Eudken equation (EMT) (Davis and Artz 1995), Bruggeman's equation (Bruggeman 1935) and modified versions (Wang and Yi 2004). There are also some other numerical methods, such as Nelsen Model (Nielsen 1974), effective unit cell model (EUCM) (Ganapathy et al 2005), Agari's semi-empirical model (Agari et al 1990) and percolation model (Devpura et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Modeling of the effective thermal conductivity of composite materials with FEM based on resistor networks approach

Zhang

et al. 2010

Microsyst Technol

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In the present paper, a novel and efficient model was developed for predicting the effective thermal conductivity of the composite materials at different filler percentages. By introducing the relative radius as a parameter, the effective thermal conductivity can be predicted precisely when the thermal properties of filler and matrix are prescribed. The model employed the resistor network strategy to achieve a highly efficient prediction during the overall conductivity calculation. To verify this model, a wide range of two-phase composites, including Cu/PP, AlN/PI and a self-developed thermal conductive adhesive, were analyzed. The model-based simulation values showed good agreement with the experimental results. Moreover, a discussion on the effects of the newlyintroduced parameter was given. Finally, the relationship between the filler radius variation and the thermal conductivity of the composite was studied.

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Effects of interfacial thermal barrier resistance and particle shape and size on the thermal conductivity of AlN/PI composites

Cited by 145 publications

References 16 publications

Thermal conductivity of U–Mo/Al dispersion fuel: effects of particle shape and size, stereography, and heat generation

Thermal conductivity of U–Mo/Al dispersion fuel: effects of particle shape and size, stereography, and heat generation

Recent Developments in Multiscale Thermomechanical Analysis of Nanocomposites

Modeling of the effective thermal conductivity of composite materials with FEM based on resistor networks approach

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