Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687468
Title: Numerical and experimental study of spray characteristics in the gasoline direct injection engine
Author: Tu, Powen
ISNI:       0000 0004 5923 8902
Awarding Body: University of Birmingham
Current Institution: University of Birmingham
Date of Award: 2016
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Abstract:
In the recent development of the gasoline combustion engine, direct injection (DI) technology has been widely used to improve fuel economy and reduce exhaust emissions. Because of the limitation of experimental techniques, the transportation of fuel within the GDI injector nozzle hole and near-field spray is not well understood. In this study, computational fluid dynamics (CFD) modelling and direct coupling of the Euler in-nozzle flow model with the Lagrangian spray model are employed to investigate the effect of different nozzle geometrical designs on the GDI spray characteristics. Euler modelling of the inside-nozzle flow reveals that a round nozzle inlet significantly increases the mass flow rate and nozzle exit velocity. A longer internal nozzle wall length results in a decrease in mass flow rate and larger droplet distribution in the nozzle near-field. At the nozzle exit, the nozzle flow parameters obtained from the Euler-based study are implemented as initial conditions for the subsequent Lagrangian-based spray model. The direct coupled Euler–Lagrangian approach is then compared with the Kelvin-Helmholtz-aerodynamic cavitation–turbulence (KH-ACT) model and the Max Planck Institute (MPI) model. The effects of injection and ambient pressure on spray characteristics are separately investigated by experimental and numerical approaches. Three different fuels, iso-octane, DMF and ethanol, are investigated using the MPI-CAB model and experimental approaches in order to gain comprehensive insight into the effect of fuel properties on spray characteristics.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.687468  DOI: Not available
Keywords: TJ Mechanical engineering and machinery
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