Modeling the in-plane thermal conductivity of a graphite/polymer composite sheet with a very high content of natural flake graphite

Zhou, Song; Chiang, Sumwai; Xu, Jinzao; Du, Hongda; Li, Baohua; Xu, Chengjun; Kang, Feiyu

doi:10.1016/j.carbon.2012.06.045

Cited by 67 publications

(36 citation statements)

References 21 publications

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“…A number of theoretical methods/models exist for the prediction of effective thermal conductivity of composites. These models include effective‐medium theory (EMT) , parallel or series model , geometric mean model , and the methods of Lewis and Nielsen and Maxwell .…”

Section: Resultsmentioning

confidence: 99%

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Finite Element Analysis of the Microstructure of AlN–TiN Composites

Patel

Vaish

Sinha

et al. 2014

Strain

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Finite element modelling (FEM) is performed on AlN-TiN composites. The structure-property relationships are studied for 5 and 10 vol.% TiN composites in view of thermal and thermo-mechanical properties. Thermal stresses are simulated at various temperatures for the 5 and 10% TiN samples in homogeneous and heterogeneous temperature environments. It is found that compressive stresses are associated with the microstructure and these stresses are largest at the interface of the AlN-TiN phases. In addition, thermal strains are simulated at various temperatures for both the compositions. Thermal conductivity and thermal expansion coefficient are estimated using FEM and compared with other known analytical methods.

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Section: Resultsmentioning

confidence: 99%

“…Further, effective thermal conductivity of the composites is determined by geometric mean model and is given by :

κ_{c} = κ_{m}^{V_{m}} . κ_{f}^{((), V_{f})}

…”

Section: Resultsmentioning

confidence: 99%

Finite Element Analysis of the Microstructure of AlN–TiN Composites

Patel

Vaish

Sinha

et al. 2014

Strain

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“…This method was tested by varying the concentration of graphite powders from 10 to 95 wt% and varying the blade heights from 300 to 500 μm. A narrow blade gap is essential for producing a strong shearing force for better orientation, and the different testing conditions also affect thermal conductivity as well as the degrees of orientation [23]. Fig.…”

Section: Preparation Of Graphene Polymer Compositesmentioning

confidence: 99%

Electrical Properties of Graphene Polymer Nanocomposites

Khanam

Ponnamma

AL-Madeed

2015

Graphene-Based Polymer Nanocomposites in Electronics

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Graphene, a monolayer of sp 2 hybridized carbon atoms arranged in a two dimensional lattice has attracted electronic industrial interest due to its exceptional electrical properties. One of the most promising applications of this material is in polymer nanocomposites in which the interface of graphene based materials and polymer chains merge to develop the most technologically promising devices. This chapter presents the electrical properties of such graphene based polymer nanocomposites and also discusses the effect of various factors on their electrical conductivity. Graphene enables the insulator to conductor transition at significantly lower loading by providing percolated pathways for electron transfer and making the polymers composite electrically conductive. The effect of processing conditions, dispersion, aggregation, modification and aspect ratio of graphene on the electrical conductivity of the graphene/polymer nanocomposites is conferred.

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“…The addition of GN layer onto the Cu foil exhibits an improved E hd of 9%, facilitating the application of heat sink. Considering as one-dimensional heat conduction, one famous Fourier's law is adopted to determine the effective thermal conductivity (k) of heat sinks [28,29]:…”

Section: Resultsmentioning

confidence: 99%