Entropy-scaling based pseudo-component viscosity and thermal conductivity models for hydrocarbon mixtures and fuels containing iso-alkanes and two-ring saturates

Recently, Rokni et al. [1,2] developed entropy-scaling based pseudo-component techniques to predict the viscosity and thermal conductivity of hydrocarbon mixtures fuels up high temperature pressure conditions using only two calculated or measured mixture properties (number average molecular weight hydrogen-to-carbon ratio). The models are accurate for many that do not contain branched compounds (7 2% mean absolute percent deviation (MAPD) conductivity, respectively, on average). However, predictions some containing iso-alkanes often less (16 19% MAPD To improve predictions, it was proposed by fit one model parameter an experimental reference data point, which may be ideal if available. In order make these more practical, this study fits empirical correlations parameters, so can made without fitting parameters. enable a wide range fuels, including those alkanes, no longer require input any data. (fit from 288 550 K) 1 4,400 bar) dependent functions weight, ratio, iso-alkane two-ring saturate concentrations. Viscosity were found within 5 MAPD, relative considered in study.