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Ensieh Ghasemian Lemraski

Academic rank: Associate Professor
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Education: PhD.
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Faculty: Basic Science
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Research

Title
Prediction of Surface Composition of Organic Binary Mixtures Based on Sprow- Prausnitz Model
Type
Presentation
Keywords
Surface mole fraction, Surface tension prediction, Binary mixtures, Sprow- Prausnitz
Year
2011
Researchers Ensieh Ghasemian Lemraski

Abstract

Abstract Among thermodynamic properties, surface tension is an important physical property that shows information about surface composition and exerts a considerable influence on the transfer of mass and energy across interface [1]. Surface tension of mixtures is often very sensitive to small changes in composition of the mixtures, and a detailed knowledge of this dependency is important for many fields [2]. In this study, we predicted surface mole fraction of some organic binary mixtures by Sprow- Prausnitz model [3] and different relations between surface mole fraction and bulk mole fraction of studied system have been considered