Modeling Transport Properties of N<sub>2</sub>–Noble Gas Mixtures at Low and Moderate Densities

  • Mohammad-Aghaie Delara
    Department of Chemistry, Shiraz University of Technology Department of Chemistry, Shiraz University of Technology
  • Papari Mohammad Mehdi
    Department of Chemistry, Shiraz University of Technology Department of Chemistry, Shiraz University of Technology
  • Zargari Farshid
    Department of Chemistry, Shiraz University of Technology Department of Chemistry, Shiraz University of Technology

Bibliographic Information

Other Title
  • Modeling Transport Properties of N₂–Noble Gas Mixtures at Low and Moderate Densities

Search this article

Description

In the present paper, the unlike interaction potential energies of some nitrogen-based mixtures were determined via the inversion of reduced viscosity collision integrals and fitted to obtain analytical potential energy forms. The potentials were then applied to Schreiber et al.’s and Chapman–Enskog’s theories to calculate, respectively, the low-density thermal conductivity and other remaining transport properties of the studied mixtures. Further the calculated potential energies were applied to the Vesovic–Wakeham (VW) scheme to predict viscosity of aforementioned mixtures at moderate density. Our estimated average absolute deviation (AAD) for dilute transport properties calculated from the Chapman–Enskog (CE) method is at most to within ±1.5% for the viscosity, ±5% for the diffusion coefficient and ±25% for the thermal diffusion factor. Further, the AAD associated with the dilute thermal conductivity is of the order of ±7% using the Schreiber et al. method. As mentioned above, the calculated unlike interaction energies as well as the low-density interaction viscosity values, were employed then to predict high density viscosities using the VW scheme. The Peng–Robinson equation of state was chosen to calculate the mixture densities required by the Vesovic–Wakeham method. The obtained viscosities in the dense regime deviate from the literature data to within ±2%.

Journal

References(114)*help

See more

Details 詳細情報について

Report a problem

Back to top