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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 105
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by:
Paper 74
Optimization of the GDI Engine Operation with Stoichiometric Mixtures using Numerical Modeling S. Boccardi1, F. Catapano2, M. Costa2, P. Sementa2, U. Sorge2 and B.M. Vaglieco2
1University of Naples "Federico II", Naples, Italy
S. Boccardi, F. Catapano, M. Costa, P. Sementa, U. Sorge, B.M. Vaglieco, "Optimization of the GDI Engine Operation with Stoichiometric Mixtures using Numerical Modeling", in , (Editors), "Proceedings of the Ninth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 74, 2014. doi:10.4203/ccp.105.74
Keywords: gasoline direct injection, optimization, multi-objective optimization, computational fluid dynamics.
Summary
The worldwide interest with respect to the environmental impact of energy
conversion systems and the need to limit the dependence upon fossil fuels are
greatly affecting the development strategies within the automotive industry.
Although various alternative technologies to internal combustion engines have been
considered in recent years, it is well assessed that these will continue to be the
preferred and most diffused propulsion systems in transportation, at least in the near
future. Various ideas are being proposed and adopted by engine manufactures and
researchers to improve the performance, and especially increase the energy
efficiency, of existing technologies. The work, described in this paper, focuses on
the numerical and experimental study of the high performance Alfa Romeo 1750cc
gasoline direct injection engine, where the mixture formation occurs in a wall guided
mode. The objective is to assess computational fluid dynamics optimization
procedures which may enable the determination of the optimal parameters for the
highest engine power output under stoichiometric operating conditions without the
occurrence of knocking. A preliminary experimental analysis is presented in order to
characterize the engine considered and to investigate the phenomenon of knocking
that occurs as the spark advance is increased. The collected data are employed to
elaborate a predictive criterion for the knocking occurrence, as well as to validate
both the one- and three-dimensional models developed for the prediction of the
engine working cycle. In fact, a complete engine three-dimensional model and a
three-dimensional computational fluid dynamics model limited to the closed valve
operation are assessed and used in specially formulated optimization procedures. A
proper design of experiment space is built case by case.
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