2010
DOI: 10.1016/j.ijthermalsci.2010.07.019
|View full text |Cite
|
Sign up to set email alerts
|

Reconstruction and modeling of 3D percolation networks of carbon fillers in a polymer matrix

Abstract: a b s t r a c tIn the present work, we illustrate a methodology for the reconstruction and modeling of threedimensional micro-structures of highly anisotropic composite materials. Specifically, we focus on diskshaped nano-fillers dispersed in a polymer matrix and detailed numerical investigations, based on the lattice Boltzmann method (LBM), are carried out on the global thermal conductivity.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
18
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
9

Relationship

5
4

Authors

Journals

citations
Cited by 31 publications
(18 citation statements)
references
References 26 publications
0
18
0
Order By: Relevance
“…Moreover, Brownian motion [89][90][91][92][93][94], interfacial thermal resistance (i.e. Kapitza Resistance) [95] and the formation of thermal percolation paths due to particle aggregation [96] were also proposed for understanding the anomalous thermal properties of nanofluids [38,[97][98][99]. After several experiments and some controversies, it is now well recognized that the two main features characterizing the effective thermal conductivity of nanofluids are the Kapitza resistance at the nanoparticlefluid interface [100] as well as the role of aggregation and aggregate morphologies [101].…”
Section: Dominating Heat and Mass Flow Mechanismsmentioning
confidence: 99%
“…Moreover, Brownian motion [89][90][91][92][93][94], interfacial thermal resistance (i.e. Kapitza Resistance) [95] and the formation of thermal percolation paths due to particle aggregation [96] were also proposed for understanding the anomalous thermal properties of nanofluids [38,[97][98][99]. After several experiments and some controversies, it is now well recognized that the two main features characterizing the effective thermal conductivity of nanofluids are the Kapitza resistance at the nanoparticlefluid interface [100] as well as the role of aggregation and aggregate morphologies [101].…”
Section: Dominating Heat and Mass Flow Mechanismsmentioning
confidence: 99%
“…An example is given by some trends in the mesoscopic numerical methods. In particular, the lattice Boltzmann method [12][13][14][15][16] is a powerful numerical method applied much beyond rarefied flows, including thermal radiation [17], thermal conduction [18], combustion [19][20][21][22], porous media [23,24], multi-component flows [25,26] and turbulence [27], to mention a few. Pertinently to this paper, the entropic lattice Boltzmann method was invented by Ilya Karlin and co-workers in 1998, by applying the maximum entropy principle to lattice kinetic equations [28].…”
Section: Introductionmentioning
confidence: 99%
“…In this way, the heat cannot uniformly distribute through the baseplate, therefore limiting the convective cooling effect by the fins. Spreading resistance is progressively becoming an important issue in modern microelectronics, and it can be mitigated by either increasing the thickness of the baseplate or by adopting materials with higher thermal conductivity (e.g., novel micro-and nano-structured materials [41]). Here, a perfect thermal contact between case and heat sink baseplate (i.e., negligible thermal contact resistances) is assumed, and R spr is estimated following the work by Lee et al [42], where further details are available.…”
Section: Theoretical Analysismentioning
confidence: 99%