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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 作者单位: State Key Laboratory of Engines, School of Mechanical Engineering, Tianjin University, Tianjin 300072, China 刊 名: 天津大学学报(英文版) EI 英文刊名: TRANSACTIONS OF TIANJIN UNIVERSITY 年,卷(期): 2006 12(1) 分类号: O6 关键词: HCCI engine reduced chemical kinetic model n-heptane micro-genetic algorithm optimization【Optimization of a Reduced Chemical K】相关文章:
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