Optimization of a Reduced Chemical Kinetic Model for HCCI Engine Simulations by Micro-Genetic Algorithm

A reduced chemical kinetic model (44 species and 72 reactions) for the homogeneous charge compression ignition (HCCI) combustion of n-heptane was optimized to improve its autoignition predictions under different engine operating conditions. The seven kinetic parameters of the optimized model were determined by using the combination of a micro-genetic algorithm optimization methodology and the SENKIN program of CHEMKIN chemical kinetics software package. The optimization was performed within the range of equivalence ratios 0.2-1.2, initial temperature 310-375 K and initial pressure 0.1-0.3 MPa. The engine simulations show that the optimized model agrees better with the detailed chemical kinetic model (544 species and 2 446 reactions) than the original model does.

作 者： HUANG Haozhong SU Wanhua   作者單位： State Key Laboratory of Engines, School of Mechanical Engineering, Tianjin University, Tianjin 300072, China  刊 名： 天津大學(xué)學(xué)報(bào)（英文版）  EI 英文刊名： TRANSACTIONS OF TIANJIN UNIVERSITY  年，卷(期)： 2006 12(1)  分類號(hào)： O6  關(guān)鍵詞： HCCI engine   reduced chemical kinetic model   n-heptane   micro-genetic algorithm   optimization  

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