Modeling of liquid internal energy and heat capacity over a wide pressure–temperature range from first principles

Proctor, JE ORCID: https://orcid.org/0000-0003-3639-8295 2020, 'Modeling of liquid internal energy and heat capacity over a wide pressure–temperature range from first principles' , Physics of Fluids, 32 , p. 107105.

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Access Information: This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Phys. Fluids 32, 107105 (2020) and may be found at https://doi.org/10.1063/5.0025871

Abstract

Recently, there have been significant theoretical advances in our understanding of liquids and dense supercritical fluids based on their ability to support high frequency transverse (shear) waves. Here, we have constructed a new computer model using these recent theoretical findings (the phonon theory of liquid thermodynamics) to model liquid internal energy across a wide pressure–temperature range. We have applied it to a number of real liquids in both the subcritical regime and the supercritical regime, in which the liquid state is demarcated by the Frenkel line. Our fitting to experimental data in a wide pressure–temperature range has allowed us to test the new theoretical model with hitherto unprecedented rigor. We have quantified the degree to which the prediction of internal energy and heat capacity is constrained by the different input parameters: the liquid relaxation time (initially obtained from the viscosity), the Debye wavenumber, and the infinite-frequency shear modulus. The model is successfully applied to output the internal energy and heat capacity data for several different fluids (Ar, Ne, N2, and Kr) over a range of densities and temperatures. We find that the predicted heat capacities are extremely sensitive to the values used for the liquid relaxation time. If these are calculated directly from the viscosity data, then, in some cases, changes within the margins of the experimental error in the viscosity data can cause the heat capacity to exhibit a completely different trend as a function of temperature. Our code is computationally inexpensive, and it is available for other researchers to use.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Physics of Fluids
Publisher: AIP Publishing
ISSN: 1070-6631
Related URLs:
Depositing User: JE Proctor
Date Deposited: 13 Oct 2020 12:06
Last Modified: 13 Oct 2020 12:15
URI: http://usir.salford.ac.uk/id/eprint/58530

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