Thermophysical Properties and Experimental and Modeling Density of Alkanol plus Alkane Mixtures Using Neural Networks Developed with Differential Evolution Algorithm

摘要

Densities of pure 1-heptanol, 1-decanol, n-heptane, n-octane, n-nonane, n-decane, and their binary liquid mixtures were measured over the entire range of composition at (288.15, 293.15, 298.15, 303.15, 308.15, 313.15) K and at atmospheric pressure (0.1 MPa). The experimental data were used to determine several thermophysical properties including, the excess molar volume (VmE) and coefficient of thermal expansion (alpha). These excess properties were used to analyze the inter-intra molecular interactions in the liquid mixtures. In addition, the densities of the considered mixtures were modelled using a combination of differential evolution algorithm and artificial neural networks. The proposed methodology determined good models that were able to efficiently predict the density with an average absolute relative error lower than 0.2 %.