Part of #A Correlation for the Thermal Conductivity of Liquid Hydrocarbons and Aromatics# :
Publishing year : 2012
Conference : Fourteenth National Congress of Chemical Engineering of Iran
Number of pages : 7
Abstract: Thermal conductivity is necessary for most heat-transfer calculations or industrial equipments such as heat exchangers. Unfortunately, this property is an extremely difficult property to be bemeasured due to some operational issues. In these circumstances, the number of suggested modeling, predictions, estimates, or correlating methods for thermal conductivity has been proposed over the past decades. In this direction, we proposed a four parameter correlation based on the critical temperature (Tc), critical pressure (Pc) and acentric factor () of substances that discriminate between the substances. All of all, 954 experimental data points were collected from different published literature to find the fitting parameters of the correlation. In addition, to improve the proposed extrapolation and general predictive ability of the proposed correlation, the collected data were dived into two data sets Namely, training and testing data sets. The obtained results showed that the four parameters including a, b, c, and d were 0.52, -0.342, 1.362, and 8.58, respectively. Based on the error analysis, the proposed correlation showed not only good correlation ability but also showed good extrapolative ability. Finally, the obtained results were compared with other available predictive methods.