Simulation of transient effects in a fuel injector nozzle using real-fluid thermodynamic closure

Numerical predictions of the fuel heating and cavitation erosion location indicators occurring during the opening and closing periods of the needle valve inside a five-hole common rail Diesel fuel injector are presented. These have been obtained using an explicit density-based solver of the compress...

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Main Authors: Konstantinos Kolovos, Nikolas Kyriazis, Phoevos Koukouvinis, Alvaro Vidal, Manolis Gavaises, Robert M. McDavid
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Applications in Energy and Combustion Science
Subjects:
LES
Online Access:http://www.sciencedirect.com/science/article/pii/S2666352X21000157
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spelling doaj-101e6d87c4f046928b478d5d24731a6f2021-09-17T04:38:03ZengElsevierApplications in Energy and Combustion Science2666-352X2021-09-017100037Simulation of transient effects in a fuel injector nozzle using real-fluid thermodynamic closureKonstantinos Kolovos0Nikolas Kyriazis1Phoevos Koukouvinis2Alvaro Vidal3Manolis Gavaises4Robert M. McDavid5Perkins Engines Company Ltd, Peterborough, PE1 5NA, United Kingdom; Corresponding author:City University London, Northampton Square EC1V 0HB, United KingdomCity University London, Northampton Square EC1V 0HB, United KingdomCity University London, Northampton Square EC1V 0HB, United KingdomCity University London, Northampton Square EC1V 0HB, United KingdomCaterpillar Inc, Mossville, IL 61552, United StatesNumerical predictions of the fuel heating and cavitation erosion location indicators occurring during the opening and closing periods of the needle valve inside a five-hole common rail Diesel fuel injector are presented. These have been obtained using an explicit density-based solver of the compressible Navier-Stokes (NS) and energy conservation equations; the flow solver is combined with two thermodynamic closure models for the liquid, vapour and vapour-liquid equilibrium (VLE) property variation as function of pressure and temperature. The first is based on tabulated data for a 4-component Diesel fuel surrogate, derived from the Perturbed-Chain, Statistical Associating Fluid Theory (PC-SAFT) Equation of State (EoS), allowing for the variation of the physical and transport properties of the fuel with the local pressure and temperature to be quantified. The second thermodynamic closure is based on the widely used barotropic Equation of State (EoS) approximation between density and pressure only and neglects viscous heating. The Wall Adapting Local Eddy viscosity (WALE) LES model was used to resolve sub-grid scale turbulence while a cell-based mesh deformation Arbitrary Lagrangian–Eulerian (ALE) formulation is used for modelling the injector's needle valve movement. Model predictions are found in close agreement against 0-D estimates of the temporal variation of the fuel temperature difference between the feed and hole exit during the injection period. Two mechanisms affecting the temperature distribution within the fuel injector have been revealed and quantified. The first is ought to wall friction-induced heating, which may result to local liquid temperature increase up to fuel's boiling point while superheated vapour is formed. At the same time, liquid expansion due to the depressurisation of the injected fuel results to liquid cooling relative to the fuel's feed temperature; this is occurring at the central part of the injection orifice. The spatial and temporal temperature and pressure gradients induce significant variations in the fuel density and viscosity, which in turn, affect the formed coherent vortical flow structures. It is found, in particular, that these affect the locations of cavitation formation and collapse, that may lead to erosion of the surfaces of the needle valve, sac volume and injection holes. Model predictions are compared against corresponding X-ray surface erosion images obtained from injector durability tests, showing good agreement.http://www.sciencedirect.com/science/article/pii/S2666352X21000157Cavitationreal-fluiderosionX-raysexplicit density-based solverLES
collection DOAJ
language English
format Article
sources DOAJ
author Konstantinos Kolovos
Nikolas Kyriazis
Phoevos Koukouvinis
Alvaro Vidal
Manolis Gavaises
Robert M. McDavid
spellingShingle Konstantinos Kolovos
Nikolas Kyriazis
Phoevos Koukouvinis
Alvaro Vidal
Manolis Gavaises
Robert M. McDavid
Simulation of transient effects in a fuel injector nozzle using real-fluid thermodynamic closure
Applications in Energy and Combustion Science
Cavitation
real-fluid
erosion
X-rays
explicit density-based solver
LES
author_facet Konstantinos Kolovos
Nikolas Kyriazis
Phoevos Koukouvinis
Alvaro Vidal
Manolis Gavaises
Robert M. McDavid
author_sort Konstantinos Kolovos
title Simulation of transient effects in a fuel injector nozzle using real-fluid thermodynamic closure
title_short Simulation of transient effects in a fuel injector nozzle using real-fluid thermodynamic closure
title_full Simulation of transient effects in a fuel injector nozzle using real-fluid thermodynamic closure
title_fullStr Simulation of transient effects in a fuel injector nozzle using real-fluid thermodynamic closure
title_full_unstemmed Simulation of transient effects in a fuel injector nozzle using real-fluid thermodynamic closure
title_sort simulation of transient effects in a fuel injector nozzle using real-fluid thermodynamic closure
publisher Elsevier
series Applications in Energy and Combustion Science
issn 2666-352X
publishDate 2021-09-01
description Numerical predictions of the fuel heating and cavitation erosion location indicators occurring during the opening and closing periods of the needle valve inside a five-hole common rail Diesel fuel injector are presented. These have been obtained using an explicit density-based solver of the compressible Navier-Stokes (NS) and energy conservation equations; the flow solver is combined with two thermodynamic closure models for the liquid, vapour and vapour-liquid equilibrium (VLE) property variation as function of pressure and temperature. The first is based on tabulated data for a 4-component Diesel fuel surrogate, derived from the Perturbed-Chain, Statistical Associating Fluid Theory (PC-SAFT) Equation of State (EoS), allowing for the variation of the physical and transport properties of the fuel with the local pressure and temperature to be quantified. The second thermodynamic closure is based on the widely used barotropic Equation of State (EoS) approximation between density and pressure only and neglects viscous heating. The Wall Adapting Local Eddy viscosity (WALE) LES model was used to resolve sub-grid scale turbulence while a cell-based mesh deformation Arbitrary Lagrangian–Eulerian (ALE) formulation is used for modelling the injector's needle valve movement. Model predictions are found in close agreement against 0-D estimates of the temporal variation of the fuel temperature difference between the feed and hole exit during the injection period. Two mechanisms affecting the temperature distribution within the fuel injector have been revealed and quantified. The first is ought to wall friction-induced heating, which may result to local liquid temperature increase up to fuel's boiling point while superheated vapour is formed. At the same time, liquid expansion due to the depressurisation of the injected fuel results to liquid cooling relative to the fuel's feed temperature; this is occurring at the central part of the injection orifice. The spatial and temporal temperature and pressure gradients induce significant variations in the fuel density and viscosity, which in turn, affect the formed coherent vortical flow structures. It is found, in particular, that these affect the locations of cavitation formation and collapse, that may lead to erosion of the surfaces of the needle valve, sac volume and injection holes. Model predictions are compared against corresponding X-ray surface erosion images obtained from injector durability tests, showing good agreement.
topic Cavitation
real-fluid
erosion
X-rays
explicit density-based solver
LES
url http://www.sciencedirect.com/science/article/pii/S2666352X21000157
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