posted on 2018-06-28, 08:13authored byPaul Osei-Owusu
This thesis presents detailed charge mixture preparation investigation on the set of conditions ,
leading to auto-ignition in a Homogenous Charge Compression Ignition (HCCI) engine. The
emphasis of the study is placed on analysing the charge mixture composition, temperature and
pressure conditions leading to auto-ignition, dependence on mixture properties and engine speed.
To enable the HCCI technology to be a stand-alone production engine, understanding the
fundamentals leading to auto-ignition will provide vital information to overcome the challenges
limiting the HCCI engine, whilst providing good knowledge base for further studies.
Increasingly stringent emissions legislation and more recent security of energy issues
have motivated worldwide research into cleaner, more fuel efficient internal combustion engine.
To this end, the HCCI combustion process has been identified as highly efficient alternative to
conventional petrol/diesel engines. This is a new combustion process which has the potential to
be both highly efficient and produce low emissions. Moreover; HCCI engines are suitable for use
with a wide range of alternative fuels including natural gas or bio-diesel, Simultaneously while
producing ultra-Iow emissions of NOx and particulate matter. However, one of the main
considerations of HCCI is prediction of the occurrence of auto-ignition.
Current published literature highlights the limited studies conducted to investigate the
auto-ignition characteristics and the fundamentals of the HCCI process. The inspiration for this
thesis is addressing the lack of studies/published work in those areas. Utilising two CFD codes
(KIVA and Fluent) along with a number of HCCI specific sub-models, the HCCI process is
investigated and correlated against experimental results with attention drawn to the mixture
conditions leading auto-ignition. Combustion was not considered in this thesis. [Continues.]
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2008
Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.