- Thermodynamic properties of mixtures
- Phase Equilibria and Thermodynamics
- Chemical Thermodynamics and Molecular Structure
- Ionic liquids properties and applications
- Diffusion Coefficients in Liquids
- Adsorption, diffusion, and thermodynamic properties of materials
- Asphalt Pavement Performance Evaluation
- Polymer crystallization and properties
- Chemical and Physical Properties in Aqueous Solutions
- Membrane Separation Technologies
- Membrane-based Ion Separation Techniques
- Zeolite Catalysis and Synthesis
- Analytical Chemistry and Chromatography
- Membrane Separation and Gas Transport
- Field-Flow Fractionation Techniques
- Tribology and Wear Analysis
- Crystallization and Solubility Studies
- Electrostatics and Colloid Interactions
- Lubricants and Their Additives
- Petroleum Processing and Analysis
- Fuel Cells and Related Materials
- Mechanical and Optical Resonators
- Fluid Dynamics and Mixing
- Analytical chemistry methods development
- Enhanced Oil Recovery Techniques
University of Windsor
2000-2023
Université de Sherbrooke
1990-1992
RWTH Aachen University
1988
University of Waterloo
1983
Abstract The diffusion coefficient at zero penetrant concentration D 0 of dichloromethane, chloroform, carbon tetrachloride, cyclohexane, benzene, o‐xylene, m ‐xylene, and p n ‐hexane in LDPE were measured 25°C, using the desorption method. values obtained this way are correlated with size, shape, chemical nature molecules. temperature dependence coefficients toluene also reported limited range 25–45°C. It indicates that, spite a size larger than that toluene, has lower activation energy diffusion.
The viscosities and densities of nine binary n-alkan-1-ol systems, 1-propanol + 1-butanol, 1-pentanol, 1-butanol 1-nonanol, 1-decanol, 1-pentanol 1-octanol, 1-heptanol 1-nonanol 1-decanol 1-undecanol, were experimentally determined over the entire composition range at temperatures 293.15 K 298.15 atmospheric pressure. experimental viscosity data correlated by McAllister three-body four-body models used to test predictive capability generalized corresponding state principle (GCSP) method.
Abstract The diffusion coefficients at zero penetrant concentration, D 0 , of n ‐heptane, ‐octane, ‐decane, and 2,2,4‐trimethylpentane (TMP) in LDPE were obtained the range 25–50°C, using desorption method. dependence on size shape is reported. It was found that decreases with increasing molecule size. activation energies temperature 25–50°C increase are independent temperature. results interpreted terms free volume theory semiquantitative estimates parameters
The densities and kinematic viscosities of the quaternary subsystems regular quinary system toluene (1) + octane (2) ethylbenzene (3) tetradecane (4) hexadecane (5) were measured over entire composition range at 308.15 K 313.15 K. viscosity deviations from mole fraction-averaged mixture calculated absolute data. All are negative. data reported herein used to test predictive capabilities version McAllister model, which was by Nhaesi Asfour Grunberg−Nissan equation. obtained results showed...
The densities and viscosities of ten binary mixtures 1-propanol, 1-pentanol, 1-heptanol, 1-nonanol, 1-undecanol have been measured over the entire composition range at temperatures (293.15 298.15) K. experimental data were employed to test predictive capabilities viscosity models including generalized McAllister three-body interaction model, GC-UNIMOD corresponding states principle (GCSP) Allan Teja correlation. analysis shows that model provided best predictions for 1-alcohol investigated.
Densities and kinematic viscosities of the ternary subsystems following regular quinary system: toluene (1) + octane (2) ethylbenzene (3) tetradecane (4) hexadecane (5) were measured over entire composition range at 293.15 K 298.15 K. The viscosity deviations from a mole fraction-averaged mixture calculated absolute data. All are negative. data reported herein utilized for testing predictive capabilities McAllister model Grunberg-Nissan equation. overall % AAD in case is 1.3% as compared to 3.1%
A new method based on the effective carbon number is presented for predicting McAllister model interaction parameters from pure component properties regular binary liquid mixtures. The viscosity prediction results have been compared with experimental data 128 systems representing 785 points; overall absolute average deviation has found to be generally better than 3.6%.
The kinematic viscosities of the following eight n-alkane binary liquid systems were measured over entire composition range at 293.15 K and 298.15 atmospheric pressure: octane + undecane, tridecane, pentadecane, decane undecane tridecane tridecane. data have been correlated by Heric's model (1967), as well with McAllister three-body interaction (1960).
Abstract Capillary viscometry has been employed to measure the viscosities of dilute polymer solutions over temperature range ‐10 150 °C. A Group II base oil containing 95% saturates was used as solvent for an olefin copolymer (OCP), a hydrogenated diene (HDP), and polymethacrylate (PMA). These three polymers represent major families viscosity index (VI) improvers nowadays in lubricant formulations. Intrinsic Huggins' constants were also determined. The thickening effects found be higher at...
ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionORIGINAL ARTICLEThis notice is a correctionDensities and Kinematic Viscosities of Ten Binary 1-Alkanol Liquid Systems at Temperatures (293.15 298.15) KNidal M. Hussein Abdul-Fattah A. Asfour*Cite this: J. Chem. Eng. Data 2010, 55, 2, 1075–1076Publication Date (Web):November 20, 2009Publication History Received26 October 2009Published online20 November inissue 11 February...
The McAllister model is considered to be the best correlating technique for viscosity−composition data. In a series of publications, Asfour et al. and Nhaesi successfully converted into predictive which requires only viscosities pure components molecular parameters constituents liquid mixture. They validated cases n-alkane regular systems by using data on large number mixtures at different temperatures. this paper, we propose novel predicting parameters, systems, group-contribution method....