2010
DOI: 10.1016/j.matchemphys.2010.05.031
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A model for thermal conductivity of nanofluids

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Cited by 12 publications
(5 citation statements)
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“…In a different approach, Meibodi et al [101] claimed that the key mechanism responsible for enhanced thermal conductivity of nanofluids is the reduced distances between particles compared to corresponding distances in micro-suspensions. They proposed a new equation for thermal conductivity of nanofluids based on the mean free path of the particles.…”
Section: Dynamic Modelsmentioning
confidence: 99%
“…In a different approach, Meibodi et al [101] claimed that the key mechanism responsible for enhanced thermal conductivity of nanofluids is the reduced distances between particles compared to corresponding distances in micro-suspensions. They proposed a new equation for thermal conductivity of nanofluids based on the mean free path of the particles.…”
Section: Dynamic Modelsmentioning
confidence: 99%
“…The significant features of the proposed model were summarized as follows: Emami-Meibodi et al [46,47] offered a simple new model in order to count the Brownian motion. The particle size did not involve in their model; therefore, they mentioned that their model could work for any suspension including microparticles and nanoparticles.…”
Section: ( )mentioning
confidence: 99%
“…By creating paths of low thermal resistance, clustering of particles into local percolating patterns may have a major effect on the effective thermal conductivity (Emami-Meibodi et al, 2010;Evans et al, 2008;Keblinski et al, 2002). Moreover if one takes into account the possibility of an ordered liquid layer in the immediate vicinity of the particle, it can allow a rapid and efficient transfer of thermal energy from one particle to another without any direct contact, avoiding thus large clusters and the settling.…”
Section: Influence Of Clustersmentioning
confidence: 99%