Theoretical modelling of thermal conductivity of deep eutectic solvent based nanofluid

In this research,the thermal conductivities of graphene oxide nano-particles (go) dispersed in deep eutectic solvents (dess) composed of ethylene glycol (eg) as a hydrogen bond donor (hbd) and methyl tri-phenyl phosphonium bromide (mtpb) as a salt,at weight fractions of 0.01%,0.02% and 0.05%,were studied and quantitatively analysed. the molar ratios of des (hbd:salt) used in this study are 3:1 and 5:1.the thermal conductivity data of the nano-fluid samples were measured at temperatures of 25-70 °c and the results were compared with theoretical models. rashmi and kumar’ models showed conflicting prediction performance. while,rashmi’s model can predict thermal conductivity with error as low as 0.1%,kumar’s model error varied from 3-55%. thus,in this work,a simple empirical modification to kumar’s model is presented which improves the predictions accuracy compared to that of rashmi’s model. © school of engineering,taylor’s university.