<p>In this work, a reduced reaction mechanism tailored for simulating IC engine combustion using a blend of n-pentanol and primary reference fuel (PRF) has been developed. PRF serves as a proxy for conventional petroleum-derived fuels like gasoline and diesel, while n-pentanol is a linear alcohol comprising five carbon atoms. The suggested reaction mechanism features 134 species and encompasses 343 reactions. The reduced kinetic model was tuned to achieve predictive performance comparable to the experimental results. Using pre-published data for ignition delay, laminar flame speed, and mole fractions of the species, the mechanism was validated. The results from the simulation align closely with the available experimental data. Further validations were done with experimental data from&#xa0;an HCCI engine. The proposed model was additionally validated against a detailed reaction mechanism for HCCI engine combustion. It was found that the kinetic model simulations are comparable to the experimental results. Due to its compact size, the reduced reaction mechanism can quickly and effectively predict HCCI engine combustion, thereby saving time and money on experimental tests.</p>

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A reduced chemical reaction mechanism for n-pentanol and primary reference fuel mixture for engine application

  • Manojkumar C.V.,
  • Justin Jacob Thomas

摘要

In this work, a reduced reaction mechanism tailored for simulating IC engine combustion using a blend of n-pentanol and primary reference fuel (PRF) has been developed. PRF serves as a proxy for conventional petroleum-derived fuels like gasoline and diesel, while n-pentanol is a linear alcohol comprising five carbon atoms. The suggested reaction mechanism features 134 species and encompasses 343 reactions. The reduced kinetic model was tuned to achieve predictive performance comparable to the experimental results. Using pre-published data for ignition delay, laminar flame speed, and mole fractions of the species, the mechanism was validated. The results from the simulation align closely with the available experimental data. Further validations were done with experimental data from an HCCI engine. The proposed model was additionally validated against a detailed reaction mechanism for HCCI engine combustion. It was found that the kinetic model simulations are comparable to the experimental results. Due to its compact size, the reduced reaction mechanism can quickly and effectively predict HCCI engine combustion, thereby saving time and money on experimental tests.