Variable Expansivity: A Key Changing Parameter in Modeling of Thermal Conductivity of Nanofluid

摘要

A new formulation based on experimental data for predicting enhanced thermal conductivity is introduced for high temperature gradient. This methodology incorporates the role of brownian motion which induces convection in nanoparticles and the correction in thermal conductivity due to variation of expansivity of nanofluid with temperature. Model equation consist of the dependence of volume fraction, size, density of the nanoparticles and the physical properties of base fluid. We have taken a nanofluid of different size nanoparticles containing Cu, CuO, Al2O3 in water and EG (ethylene glycol) as a base fluid. The results obtained are compare with experimental data of different nanofluids showing a nice consonance with model. Other theoretical model from the archival literature are also compared, but the currently developed model shows better resuts with high veracity and precision.