Thermodynamics,
Gabriela Lisa; Iuliana Bîrgăuanu; Catalin Lisa; Alexandra Bargan; Silvia Curteanu
Abstract
This paper evaluates the following properties: surface tension and refractive index in an area of composition influenced by component miscibility, four temperatures: 293.15, 303.15, 313.15 and 323.15 K and atmospheric pressure (0.1 MPa), for binary and ternary systems of benzyl alcohol, n-hexanol and ...
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This paper evaluates the following properties: surface tension and refractive index in an area of composition influenced by component miscibility, four temperatures: 293.15, 303.15, 313.15 and 323.15 K and atmospheric pressure (0.1 MPa), for binary and ternary systems of benzyl alcohol, n-hexanol and water, less studied in the literature. There was an increase in surface tension with increasing temperature for the n-hexanol-water binary system and the ternary system. Given that the refractive index is determined much easier and with a lower consumption of substances than the surface tension, in this paper the statistical processing of experimental data with multiple linear regression method (MLR) was applied and the following model was obtained: exc= 478.5+101.514⸱X1+58.389⸱X2+ 47.083⸱(T/273.15)-416.897⸱n. It correlates the excess surface tension (exc) with the composition (X1 and X2), the normalized temperature and the refractive index (n). Modelling with neural networks was also performed. The multilayer perceptrons (MLP) neuronal model (4:20:12:1) performs better than the MLR model, but the advantage of the latter is that it provides a mathematical expression that can be easily used by chemical engineers to predict excess surface tension based on experimental measurements of refractive index.