Modeling Ignition of a Heptane Isomer: Improved Thermodynamics, Reaction Pathways, Kinetics, and Rate Rule Optimizations for 2-Methylhexane
Author(s) -
Samah Y. Mohamed,
Liming Cai,
Fethi Khaled,
Colin Banyon,
Zhandong Wang,
Mariam J. Al Rashidi,
Heinz Pitsch,
Henry J. Curran,
Aamir Farooq,
S. Mani Sarathy
Publication year - 2016
Publication title -
the journal of physical chemistry a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 235
eISSN - 1520-5215
pISSN - 1089-5639
DOI - 10.1021/acs.jpca.6b00907
Subject(s) - shock tube , thermodynamics , combustion , chemistry , kinetic energy , ignition system , reaction rate constant , homogeneous charge compression ignition , experimental data , elementary reaction , kinetics , combustion chamber , physics , shock wave , mathematics , statistics , quantum mechanics
Accurate chemical kinetic combustion models of lightly branched alkanes (e.g., 2-methylalkanes) are important to investigate the combustion behavior of real fuels. Improving the fidelity of existing kinetic models is a necessity, as new experiments and advanced theories show inaccuracies in certain portions of the models. This study focuses on updating thermodynamic data and the kinetic reaction mechanism for a gasoline surrogate component, 2-methylhexane, based on recently published thermodynamic group values and rate rules derived from quantum calculations and experiments. Alternative pathways for the isomerization of peroxy-alkylhydroperoxide (OOQOOH) radicals are also investigated. The effects of these updates are compared against new high-pressure shock tube and rapid compression machine ignition delay measurements. It is shown that rate constant modifications are required to improve agreement between kinetic modeling simulations and experimental data. We further demonstrate the ability to optimize the kinetic model using both manual and automated techniques for rate parameter tunings to improve agreement with the measured ignition delay time data. Finally, additional low temperature chain branching reaction pathways are shown to improve the model's performance. The present approach to model development provides better performance across extended operating conditions while also strengthening the fundamental basis of the model.
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