Details of Grant 

EPSRC Reference:	GR/R54774/01
Title:	Atomisation, Ignition and Mixing In New Generation DIESELS (AIMING-DIESELS)
Principal Investigator:	Heikal, Professor M
Other Investigators:	Crua, Professor C
Researcher Co-Investigators:
Project Partners:	Delphi Diesel Systems Ricardo Group
Department:	Sch of Engineering
Organisation:	University of Brighton
Scheme:	Standard Research (Pre-FEC)
Starts:	02 September 2002	Ends:	01 December 2005	Value (£):	178,350
EPSRC Research Topic Classifications:	Combustion
EPSRC Industrial Sector Classifications:	Transport Systems and Vehicles
Related Grants:	GR/R54767/01
Panel History:
Summary on Grant Application Form
An increased market share by Diesel-powered automobiles can allow the automotive industry to meet the legislated future reduction of fleet-average C02 emissions by more than 50%, but current Diesel engines do not meet future legislation for NOx and particulate emissions. A new generation of engine design is required, which will be based on high injection pressures and intelligent injection schedules, and the proposed research will contribute to the understanding of the key processes of Atomisation, Ignition and Mixing of liquid fuel and vapour (AIM). A step change in the understanding of AIM will be achieved by measuring in an internationally unique experimental facility, allowes study of injection at real engine pressure and temperature at top dead centre (TDC) corresponding to supercritical conditions for the Diesel fuel. Innovative instrumentation will be developed which, together with carrunt state-of-the-art instrumentation, will quantify AIM in a Diesel spray, in terms of crank-angle-averaged vapour concentration at ignition locations, correlated with spray characteristics and in-flame soot levels for a range of injection schedule, injection pressure, TDC temperature and pressure, and Exhaust Gas Recirculation (EGR) conditions, corresponding to extreme emission conditions for NOx and particulates as determined from engine data. A phenomenological model will result for AIM for supercritical conditions, which will assist in providing suggestions for improved computational models and determining the operating conditions for optimum performance of engines.
Key Findings
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Further Information:
Organisation Website:	http://www.bton.ac.uk