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CFD Modelling of Direct Gas Injection Using a Lagrangian Particle Tracking Approach

Vångö, Mathias LU (2015) MVK920 20151
Department of Energy Sciences
Abstract
CFD simulations of direct gas injection, especially in large dual-fuel engines, can be expensive both regarding time and computational power. The nozzle area needs to be resolved with a fine mesh to capture all phenomena and for a full engine model this results in a large amount of cells. A method using a Lagrangian Particle Tracking (LPT) approach was developed to handle gas injection by injecting gaseous parcels into the domain. The gaseous LPT method was
implemented by modifying the LPT solver for liquid droplets in dieselFoam, which was already present in OpenFOAM 2.0.x to minimize development efforts. The method was evaluated by comparisons with RANS simulations of fully resolved subsonic jets in a simple chamber geometry, for... (More)
CFD simulations of direct gas injection, especially in large dual-fuel engines, can be expensive both regarding time and computational power. The nozzle area needs to be resolved with a fine mesh to capture all phenomena and for a full engine model this results in a large amount of cells. A method using a Lagrangian Particle Tracking (LPT) approach was developed to handle gas injection by injecting gaseous parcels into the domain. The gaseous LPT method was
implemented by modifying the LPT solver for liquid droplets in dieselFoam, which was already present in OpenFOAM 2.0.x to minimize development efforts. The method was evaluated by comparisons with RANS simulations of fully resolved subsonic jets in a simple chamber geometry, for different cases with varying inlet velocities and initial chamber conditions. It was found that despite that the gaseous LPT method under-predicts the spreading of the jet as compared with
the fully resolved approach, resulting in a longer penetration length, the method provides overall reasonable trends regarding velocities and gas mass fraction. Therefore it was found in this thesis that, with a few modifications to the existing dieselFoam solver, it is possible to model direct gas injection of subsonic jet with reasonable results. (Less)
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author
Vångö, Mathias LU
supervisor
organization
course
MVK920 20151
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Lagrangian Particle Tracking, Gas injection, CFD, Jets, OpenFOAM, LPT
report number
ISRN LUTMDN/TMHP-15/5347-SE
ISSN
0282-1990
language
English
id
5474127
date added to LUP
2015-06-18 14:13:49
date last changed
2015-06-18 14:13:49
@misc{5474127,
  abstract     = {CFD simulations of direct gas injection, especially in large dual-fuel engines, can be expensive both regarding time and computational power. The nozzle area needs to be resolved with a fine mesh to capture all phenomena and for a full engine model this results in a large amount of cells. A method using a Lagrangian Particle Tracking (LPT) approach was developed to handle gas injection by injecting gaseous parcels into the domain. The gaseous LPT method was
implemented by modifying the LPT solver for liquid droplets in dieselFoam, which was already present in OpenFOAM 2.0.x to minimize development efforts. The method was evaluated by comparisons with RANS simulations of fully resolved subsonic jets in a simple chamber geometry, for different cases with varying inlet velocities and initial chamber conditions. It was found that despite that the gaseous LPT method under-predicts the spreading of the jet as compared with
the fully resolved approach, resulting in a longer penetration length, the method provides overall reasonable trends regarding velocities and gas mass fraction. Therefore it was found in this thesis that, with a few modifications to the existing dieselFoam solver, it is possible to model direct gas injection of subsonic jet with reasonable results.},
  author       = {Vångö, Mathias},
  issn         = {0282-1990},
  keyword      = {Lagrangian Particle Tracking,Gas injection,CFD,Jets,OpenFOAM,LPT},
  language     = {eng},
  note         = {Student Paper},
  title        = {CFD Modelling of Direct Gas Injection Using a Lagrangian Particle Tracking Approach},
  year         = {2015},
}