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Effect of molecular models on viscosity and thermal conductivity calculations
Author(s) -
Andrew B. Weaver,
Alina Alexeenko
Publication year - 2014
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4902582
Subject(s) - thermal conductivity , viscosity , range (aeronautics) , monte carlo method , direct simulation monte carlo , statistical physics , physics , conductivity , thermodynamics , molecular dynamics , materials science , mechanics , dynamic monte carlo method , mathematics , quantum mechanics , statistics , composite material
The effect of molecular models on viscosity and thermal conductivity calculations is investigated. The Direct Simulation Monte Carlo (DSMC) method for rarefied gas flows is used to simulate Couette and Fourier flows as a means of obtaining the transport coefficients. Experimental measurements for argon (Ar) provide a baseline for comparison over a wide temperature range of 100–1,500 K. The variable hard sphere (VHS), variable soft sphere (VSS), and Lennard-Jones (L-J) molecular models have been implemented into a parallel version of Bird’s one-dimensional DSMC code, DSMC1, and the model parameters have been recalibrated to the current experimental data set. While the VHS and VSS models only consider the short-range, repulsive forces, the L-J model also includes constributions from the long-range, dispersion forces. Theoretical results for viscosity and thermal conductivity indicate the L-J model is more accurate than the VSS model; with maximum errors of 1.4% and 3.0% in the range 300–1,500 K for L-J and ...

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