2018
DOI: 10.1016/j.carbon.2018.09.024
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Thermal conductivity of graphene nanoplatelet/cycloaliphatic epoxy composites: Multiscale modeling

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Cited by 47 publications
(12 citation statements)
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“…As MD modeling simulations can be computationally expensive for studying multiple case studies considering the wide range of composite material parameters, fast and efficient microscale computational approaches represent the typical tools for this purpose [49,50]. MD modeling combined with micromechanics has been used in computational studies to predict the mechanical properties of randomly dispersed graphene nanoplatelets in epoxy polymers [51][52][53][54].…”
Section: Introductionmentioning
confidence: 99%
“…As MD modeling simulations can be computationally expensive for studying multiple case studies considering the wide range of composite material parameters, fast and efficient microscale computational approaches represent the typical tools for this purpose [49,50]. MD modeling combined with micromechanics has been used in computational studies to predict the mechanical properties of randomly dispersed graphene nanoplatelets in epoxy polymers [51][52][53][54].…”
Section: Introductionmentioning
confidence: 99%
“…Compared to manipulating polymer chain alignment to form specic orientations [7][8][9] and yield high crystallinity 10,11 in the matrix to obtain high thermal conductivity, doping llers with high thermal conductivity into polymers is a simple and effective way to improve the thermal conductivity of composites. However, the type, [12][13][14][15] dimensions, [16][17][18][19] size 20,21 and concentration 22,23 of the ller are factors that play signicant roles in the thermal conductivity of composites. In addition to the above factors, two other important factors are the ller arrangement in the polymer matrix, [24][25][26][27] which forms thermal conduction pathways, and the interfacial thermal resistance caused by the poor dispersion and weak interaction of the ller.…”
Section: Introductionmentioning
confidence: 99%
“…[9,10] Graphene (Gr) has been widely concerned by researchers for its excellent properties such as specific surface area of 2630 m 2 /g, Young's modulus up to 1 TPa, electrical conductivity of 6 Â 10 5 S/m, and thermal conductivity up to 5300 W/mÁK. [11][12][13][14] Therefore, Gr and its derivatives are often used to enhance the mechanical properties, electrical and thermal conductivity of composites. [15][16][17] Among them, graphene oxide (GO) has been widely studied because of its outstanding dispersion.…”
Section: Introductionmentioning
confidence: 99%