City Research Online

CFD simulation of pseudo-diesel injections at high-load conditions employing the PC-SAFT EoS and VLE calculations

Rodriguez, C., Rokni, H. B., Koukouvinis, P. ORCID: 0000-0002-3945-3707 , Gupta, A. & Gavaises, M. ORCID: 0000-0003-0874-8534 (2019). CFD simulation of pseudo-diesel injections at high-load conditions employing the PC-SAFT EoS and VLE calculations. Paper presented at the ILASS–Europe 2019, 29th Conference on Liquid Atomization and Spray Systems, 2 - 4 September 2019, Paris, France.

Abstract

The molecular-based Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) equation of state (EoS) iscoupled with Vapor-Liquid Equilibrium (VLE) calculations in a density-based solver of the Navier-Stokes equations to perform multicomponent two-phase simulations of Diesel injections at high-pressure conditions. The PC-SAFTEoS requires three parameters, which can be fitted to experimental data or calculated using group contribution methods,to model the properties of a specific component. Therefore, there is no need for extensive model calibration, as is typically the case when the NIST library is utilised. PC-SAFT can flexibly handle the thermodynamic propertiesof multi-component mixtures for which the NIST (REFPROP) library supports only limited component combinations. Moreover, complex hydrocarbon mixtures can be modelled as a single pseudo-component knowing its number averaged molecular weight and the hydrogen-to-carbon ratio. One and two-dimensional simulations areincluded to demonstrate the multidimensional, multispecies and multiphase capability of the numerical framework.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: This work is licensed under a Creative Commons 4.0 International License (CC BY-NC-ND 4.0).
Publisher Keywords: PC-SAFT EoS; Pseudo-component; Diesel Fuel Injection
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Departments: School of Science & Technology > Engineering
[thumbnail of ILASS_Paris_2019_CarlosRF.pdf]
Preview
Text - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (863kB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login