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Mohammad Almasi

Mohammad Almasi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: science
Address: Malayer University, Faculty of Science, Department of Applied Chemistry
Phone: 08132355492

Research

Title
Correlation and prediction of thermodynamic properties of binary mixtures from perturbed chain statistical associating fluid theory
Type
JournalPaper
Keywords
Densities Viscosities Diethanolamine 2-Alkanol PC-SAFT
Year
2014
Journal PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
DOI
Researchers Mohammad Almasi

Abstract

Densities and viscosities for binary mixtures of Diethanolamine (DEA) + 2 alkanol (2 propanol up to 2 pentanol) were measured over the entire composition range and temperature interval of 293.15–323.15 K. From the density and viscosity data, values of various properties such as isobaric thermal expansibility, excess isobaric thermal expansibility, partial molar volumes, excess molar volumes and viscosity deviations were calculated. The observed variations of these parameters, with alkanols chain length and temperature, are discussed in terms of the intermolecular interactions between the unlike molecules of the binary mixtures. The ability of the perturbed chain statistical associating fluid theory (PCSAFT) to correlate accurately the volumetric behavior of the binary mixtures is demonstrated