tIn the present study, a new correlation with both correlative and extrapolative capabilities is proposedfor thermal conductivity of the pure ionic liquids (ILs) and the optimum values of its fitting parameterswere obtained by a genetic algorithm. All of all, 209 data points of 21 ILs were collected from previouslypublished literature. The collected data were divided into two different subsets namely training (143 datapoints) and testing (66 data points) subsets. Training subset was used to find the optimum values of thefitting parameters of the proposed correlation. After that, the extrapolative and correlative capabilitiesof the proposed correlation was tested by testing data subset was not utilized during the training stage.The average absolute relative deviation percent (AARD %) during the training stage was 5.22%, whilethe results revealed AARD % of 10.76% for testing stage. In general, the overall results revealed a rathergood accuracy of the proposed correlation especially considering its extrapolative capability. Finally, theobtained results by the proposed correlation were compared with those obtained by different availablecorrelations including group contribution and artificial neural network approach which shows a goodfunctionality of the proposed correlation.
کلید واژگان :Pure ionic liquids New correlation Thermal conductivity Artificial neural network Extrapolation
ارزش ریالی : 1200000 ریال
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