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Simulation of transcritical fluid jets using the PC-SAFT EoS

Rodriguez, C., Vidal, A., Koukouvinis, P. ORCID: 0000-0002-3945-3707, Gavaises, M. ORCID: 0000-0003-0874-8534 and McHugh, M. A. (2018). Simulation of transcritical fluid jets using the PC-SAFT EoS. Journal of Computational Physics, 374, doi: 10.1016/j.jcp.2018.07.030

Abstract

The present paper describes a numerical framework to simulate transcritical and supercritical flows utilising the compressible form of the Navier–Stokes equations coupled with the Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT) equation of state (EoS); both conservative and quasi-conservative formulations have been tested. This molecular model is an alternative to cubic EoS which show low accuracy computing the thermodynamic properties of hydrocarbons at temperatures typical for high pressure injection systems. Liquid density, compressibility, speed of sound, vapour pressures and density derivatives are calculated with more precision when compared to cubic EoS. Advection test cases and shock tube problems are included to show the overall performance of the developed framework employing both formulations. Additionally, two-dimensional simulations of nitrogen and dodecane jets are presented to demonstrate the multidimensional capability of the developed model.

Publication Type: Article
Additional Information: © 2018 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Keywords: Supercritical, transcritical, PC-SAFT EoS, double-flux model, Riemann proble
Subjects: T Technology > TJ Mechanical engineering and machinery
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Mechanical Engineering & Aeronautics
URI: http://openaccess.city.ac.uk/id/eprint/20290
[img] Text - Accepted Version
This document is not freely accessible until 19 July 2019 due to copyright restrictions.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

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