Densities and isothermal compressibilities from perturbed hard-dimer-chain equation of state: application to nanofluids

Abstract Densities and isothermal compressibilities of several nanofluids were modelled using a perturbed hard-chain equation state (EoS) by an attractive term from Yukawa tail in 273–363 K range pressure up to 45 MPa. The interest comprise TiO 2 -Anatase (-A), -Rutile (-R), SnO2, Co 3 O 4 , CuO, ZnO, Al as nanoparticles dispersed ethylene glycol, water, poly glycol + water base fluids. EoS was capable estimating 1397 density data 9 with the overall average absolute deviations (AAD) 0.90%. coefficients compressibility 6 selected also predicted AAD 5.74% for 1095 points examined. PHDC not excess volumes EG-, PEG-, water-based accurately relative literature greater than 34%, even though trend results against nanoparticle concentration accord literature. To further investigate prediction, we have trained neural network single hidden layer 17 neurons which able predict densities accurately.