Binary Systems Containing Hydrocarbons

Prediction of Liquid-Liquid Equilibria of Binary Systems Containing Alcohols Using EoS-GE Models

Solubility of Methane, Ethane, and Propane in Pure Water Using New Binary Interaction Parameters

Solubility of hydrocarbons in water is important due to ecological concerns and new restrictions on the existence of organic pollutants in water streams. Also, the creation of a thermodynamic model has required an advanced study of the phase equilibrium between water (as a basis for the widest spread muds and amines) and gas hydrocarbon phases in wide temperature and pressure ranges. Therefore,...

Phase Equilibria for Binary Systems Containing Ionic Liquid with Water or Hydrocarbons

In this work, the mutual solubilities of sets of ionic liquids ([CnMIM] [TF2N] (n = 4, 8, 12), [C4PY] [TF2N], [C8MIM] [OTF]) and organic compounds (heptane, o-xylene, toluene, or water) are investigated. The experimental data measured for these systems were used to adjust the binary interaction parameters between their components for the Non-Random Two Liquid (NRTL) model. The results showed th...

Vapor-Liquid Equilibrium of a Ternary System containing Dimethyl ether (DME) and Light Hydrocarbons

Recently, dimethyl ether (DME) has been paid much attention as a clean fuel. DME has many advantages as a substitute for liquefied petroleum gas (LPG). Sulfur oxides (SOx), and particulate matters (PM) are not produced at the combustion. Infrastructures and equipments for LPG can be used with slight improvements, because physical properties of DME are similar to those of light hydrocarbons, pro...

New Local Composition-Equation of State Mixing Rules for High Pressure Vapor-Liquid Equilibria Using EOS/AE

In this study using Equation of State/ Helmholtz excess energy function,  EOS/AE, two new local composition-Equation-of State mixing rules, LCEOS1 and LCEOS2 were developed in which the energy interaction parameters were expressed in terms of attractive and repulsive parameters of the cubic equation of state. The EOS/AE models are applied for equilibrium calculation of nat...

Estimation of Binary Infinite Dilute Diffusion Coefficient Using Artificial Neural Network

In this study, the use of the three-layer feed forward neural network has been investigated for estimating of infinite dilute diffusion coefficient ( D12 ) of supercritical fluid (SCF), liquid and gas binary systems. Infinite dilute diffusion coefficient was spotted as a function of critical temperature, critical pressure, critical volume, normal boiling point, molecular volume in normal boilin...