Experimental measurement, excess parameters, and analysis of permittivity data for (primary diols+ketones) binary systems

• Published in: Journal of molecular liquids 2018-06, Vol.260, p.403-414
• Main Authors: Ghorbanpour, T., Ghanadzadeh Gilani, A., Fallahi, S.
• Format: Article
• Language: English
• Subjects: Effective Kirkwood factor; Excess parameter; GMDH-type neural network; Molar volume; Relative permittivity
• ISSN: 0167-7322; 1873-3166
• DOI: 10.1016/j.molliq.2018.03.086

Relative permittivities, refractive indices, and densities of the various binary systems containing three primary diols (1,3-propanediol, 1,4-butanediol, and 1,5-pentanediol) and three similar structurally related aliphatic ketones (dimethyl-, diethyl-, and methyl ethyl-ketones) were measured and analyzed over the whole composition range at T=298.15K and p=101.3kPa. Various approaches were used to coherent data analysis and accomplish the purpose of the study. The formulations of the Kumbharkhane et al. and the Winkelmann-Quitzsch are required for a coherent interpretation and understanding of these binary systems. The experimental data of the binary systems and pure liquids were used to calculate the excess parameters, namely excess permittivity, excess free energy, excess molar volume, and excess refractive index. In this study, a Group Method of Data Handling (GMDH) type neural network was used to correlate the permittivity data. The proposed model gives excellent agreement with the experimental data. The model is shown to be appropriate for predicting the permittivity data. •ΔA12E indicates that the strength of the short-range interactions for the studied systems are weak at all concentrations.•Negative excess permittivities were observed for all the studied systems.•The excess Helmholtz energy confirms the formation of homo multimers in the mixtures.•Negative excess molar volumes were obtained for the studied mixtures.•A neural network model was developed using experimental permittivity data.