Transport behavior of PMMA/expanded graphite nanocomposites

Zheng, Wenge; Wong, Shing Chung Josh; Sue, Hung‐Jue

doi:10.1016/s0032-3861(02)00599-2

Cited by 236 publications

(152 citation statements)

References 28 publications

Supporting

Mentioning

146

Contrasting

Unclassified

Order By: Relevance

“…The number of graphene seeds on the block is defined by equations (6, 7) as a function of nanocomposites volume fraction and graphene's geometry. The number of elements representing each graphene layer (γ) would equal to the number of division in the direction of loading (eix) divided by the factor k. As a consequence the number of elements representing graphene reinforcement total in the volume (n g ) is defined by equation (8). The number of elements perpendicular to the loading direction (eiz) is given by equations (9, 10), while the number of elements through the block's thickness (eiy) is eiz = AR .…”

Section: Representative Volume Element (Rve)mentioning

confidence: 99%

“…At first, carbon black [1,2], metallic powder [3][4][5], polyaniline [6] and graphite [7] were used as electrical reinforcement in polymer, but high concentration was necessary to achieve the percolation threshold which endangered the mechanical properties of the nanocomposites due to the formation of agglomerations. Later, several researchers proposed polymer nanocomposites reinforced with graphene nanoparticles and its derivatives (expanded graphite, graphene nanoplatelets, graphite oxide, functionalized graphene/expanded graphite), which are able to form more stable 3D conductive networks in lower volume content as a consequence of their high aspect ratio (AR-ratio of main particle dimension to minor one) [8][9][10][11][12][13][14][15]. Comparing the available experimental data in terms of percolation threshold varied by the filler aspect ratio, it could be easily noted its high dependence on the nanocomposite's manufacturing process (it affects the filler distribution and orientation as well as the formation of agglomerations), while for a given production methodology and materials constituents, the percolation threshold is not a deterministic quantity but a probabilistic one.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predictive Model of Graphene Based Polymer Nanocomposites: Electrical Performance

2016

View full text Add to dashboard Cite

In this computational work, a new simulation tool on the graphene/polymer nanocomposites electrical response is developed based on the finite element method (FEM). This approach is built on the multi-scale multi-physics format, consisting of a unit cell and a representative volume element (RVE). The FE methodology is proven to be a reliable and flexible tool on the simulation of the electrical response without inducing the complexity of raw programming codes, while it is able to model any geometry, thus the response of any component. This characteristic is supported by its ability in preliminary stage to predict accurately the percolation threshold of experimental material structures and its sensitivity on the effect of different manufacturing methodologies. Especially, the percolation threshold of two material structures of the same constituents (PVDF/Graphene) prepared with different methods was predicted highlighting the effect of the material preparation on the filler distribution, percolation probability and percolation threshold. The assumption of the random filler distribution was proven to be efficient on modelling material structures obtained by solution methods, while the through-the -thickness normal particle distribution was more appropriate for nanocomposites constructed by film hot-pressing. Moreover, the parametrical analysis examine the effect of each parameter on the variables of the percolation law. These graphs could be used as a preliminary design tool for more effective material system manufacturing.

show abstract

Section: Representative Volume Element (Rve)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictive Model of Graphene Based Polymer Nanocomposites: Electrical Performance

2016

View full text Add to dashboard Cite

show abstract

“…Graphite appears to be one of the most promising fillers in that could produce composites with excellent thermal, mechanical, and electrical properties at a reasonable cost. Graphite intercalated compound (GIC) expands up to few hundred times their initial volume at high temperatures and the expanded graphite sheets could exfoliate to a nanoscale level along the c-axis of the graphene layers [3,4]. GIC has high conductivity and it could be a good candidate for thermal management systems and could be used in many applications where high thermal dissipation is required.…”

Section: Introductionmentioning

confidence: 99%

“…There are many reports on the use of preheat-treated GIC as a filler [3,5,6]. However, there are very few studies on the thermal diffusivity of in-situ exfoliation processed graphite intercalated compound based composites.…”

mentioning

confidence: 99%

Thermal diffusivity of in-situ exfoliated graphite intercalated compound/polyamide and graphite/polyamide composites

Kim¹,

Poostforush²,

Kim³

et al. 2012

Express Polym. Lett.

View full text Add to dashboard Cite

Abstract. The thermal diffusivity of graphite intercalated compound (GIC)/polyamides (PA6, PA66 and PA12) and graphite/polyamides composites were investigated. The polyamides/GIC composites were prepared by an in-situ exfoliation melting process and thermal diffusivity of the composites was measured by a laser flash method. The surface chemistry of the GIC and graphite was investigated using Fourier transform infrared spectroscopy, the fracture morphology of the composites was observed by field emission scanning electron microscopy. The thermal diffusivity of the in-situ exfoliation processed PA/GIC composites showed a significant improvement over those of PA/expanded graphite intercalated compound composites and PA/graphite composites. We suggest that the larger flake size and high expansion ratio of the GIC during the in-situ exfoliation process leads to 3-dimensional conductive pathways and high thermal diffusivity. Thermal diffusivity of the polyamides/GIC (20 vol%) composites was increased approximately 18 times compared to that of pure polyamides.

show abstract

“…[5][6][7][8][9][10][11][12][13][14] In particular, inclusion of nano-sized electrically conductive fillers such as carbon nanotubes and graphite particles can significantly increase the electrical conductivity of the polymer beyond a threshold level of loading. [15][16][17][18] Nanocomposites with highaspect-ratio, plate-like filler particles also exhibit dramatic changes in permeability, which has been attributed to the ''tortuous'' pathways required for migration of small molecules. 19 Thermal properties have been improved by tens of degrees Celsius with the inclusion of low volume fractions of nanoparticles.…”

Section: Introductionmentioning

confidence: 99%

Graphitic nanofillers in PMMA nanocomposites—An investigation of particle size and dispersion and their influence on nanocomposite properties

Ramanathan

Stankovich

Dikin

et al. 2007

J Polym Sci B Polym Phys

240

168

View full text Add to dashboard Cite

Mechanical, thermal, and electrical properties of graphite/PMMA composites have been evaluated as functions of particle size and dispersion of the graphitic nanofiller components via the use of three different graphitic nanofillers: ''as received graphite'' (ARG), ''expanded graphite,'' (EG) and ''graphite nanoplatelets'' (GNPs) EG, a graphitic materials with much lower density than ARG, was prepared from ARG flakes via an acid intercalation and thermal expansion. Subsequent sonication of EG in a liquid yielded GNPs as thin stacks of graphitic platelets with thicknesses of $10 nm. Solution-based processing was used to prepare PMMA composites with these three fillers. Dynamic mechanical analysis, thermal analysis, and electrical impedance measurements were carried out on the resulting composites, demonstrating that reduced particle size, high surface area, and increased surface roughness can significantly alter the graphite/polymer interface and enhance the mechanical, thermal, and electrical properties of the polymer matrix.

show abstract

Transport behavior of PMMA/expanded graphite nanocomposites

Cited by 236 publications

References 28 publications

Predictive Model of Graphene Based Polymer Nanocomposites: Electrical Performance

Predictive Model of Graphene Based Polymer Nanocomposites: Electrical Performance

Thermal diffusivity of in-situ exfoliated graphite intercalated compound/polyamide and graphite/polyamide composites

Graphitic nanofillers in PMMA nanocomposites—An investigation of particle size and dispersion and their influence on nanocomposite properties

Contact Info

Product

Resources

About