A new proposed approach to estimate the thermodiffusion coefficients for linear chain hydrocarbon binary mixtures.
Thermodiffusion behaviors in nonassociating mixtures have an important role in separation processes of the oil industry. The variations of composition and temperature may either lessen or enhance the separation in mixtures. A new model regarding the prediction of thermodiffusion coefficients for linear chain hydrocarbon binary mixtures using the thermodynamics of irreversible process is proposed. The model predicts the net amount of heat transported based on available volume for each molecule. This newly proposed model combined with the perturbed chain statistical associating fluid theory equation of state has been applied to predict thermodiffusion coefficients for binary hydrocarbon mixtures of C(10)-nC(i) (i=5,6,7,15,16,17,18), C(12)-nC(i) (i=5,6,7,8,9), and C(18)-nC(i) (i=5,6,7,8,9,12). Comparisons of the calculated theoretical results with the experimental data show good performance of the proposed model. In particular, this model which is based on the kinetic approaches has been found to be the most reliable and represents a significant improvement over the earlier models.
Abbasi
Alireza
A
Department of Mechanical Engineering, Ryerson University, 350 Victoria St., Toronto, Ontario M5B2K3, Canada.
Saghir
M Ziad
MZ
Kawaji
Masahiro
M
D006838:Hydrocarbons / Q000737:chemistry*; D008956:Models, Chemical; D055471:Thermal Diffusion; D013816:Thermodynamics
D006838:Hydrocarbons