شماره ركورد كنفرانس :
5048
عنوان مقاله :
Development of an optimized chemical kinetic mechanism for HCCI combustion of n-Heptane and natural gas fuels mixture using genetic algorithm
Author/Authors :
A ،Rahimi Sahand University of Technology, Tabriz, Iran , R ،Khoshbakhti Saray Sahand University of Technology, Tabriz, Iran , E ،Fatehifar Sahand University of Technology, Tabriz, Iran , A ،Yousefzadi Nobakht Sahand University of Technology, Tabriz, Iran
كليدواژه :
HCCI Combustion , Chemical KineticMechanism , Multi ZoneModel , Genetic Algorithm
عنوان كنفرانس :
ششمين كنگره بين المللي مهندسي شيمي
چكيده لاتين :
HCCI combustion in vehicles requires hydrocarbons chemical oxidation mechanism investigation and their
dominant kinetics. This kind of combustion also posses enormous potential to reduce exhaust pollutants especially nitrogen
oxides and it may decrease fuel consumption. Furthermore, one of the basic difficulties within HCCI combustion is its limited
narrow performance. One of the main controlling procedures of HCCI combustion is the use of different hydrocarbons
mixtures, which in this case, use of two fuel mixture of normal-heptane and natural gas for controlling of HCCI combustion
could be considered.
In this study, combined chemical kinetic mechanism for CNG and n-heptane mixture will be presented in which reaction rate
parameters will be optimized by using genetic algorithm. The optimized chemical kinetic mechanism has been developed by
utilization of a multi-zone combustion model. The results show that the optimized chemical kinetic mechanism can predict
combustion and performance parameters properly to be in good agreement with experimental data.