Phase Behavior of Liquids Embedded with Graphene Genealogic Tree Nanoparticles

摘要: This work discusses the phase behavior of conventional liquids and their binary mixtures in presence graphene genealogic tree nanoparticles. An algorithm for evaluation critical parameters shift after adding nanoparticles to pure liquid is applied estimate point nanofluid. It argued that dimensionless thermodynamic surfaces reference nanofluid with volume nanoparticle concentration less than 5% are coincided. A global diagram approach proposed evaluate a possible azeotropic states doping. The influence (carbon nanotubes—CNT, fullerenes—C60, flakes) on liquid–liquid equilibria discussed. change location upper end (UCEP) coexistence curve mixture nitrobenzene heptane system nitrobenzene, predicted.