A physics-based approach to modeling real-fuel combustion chemistry – VI. Predictive kinetic models of gasoline fuels

Rui Xu, Chiara Saggese, Robert Lawson, Ashkan Movaghar, Thomas Parise, Jiankun Shao, Rishav Choudhary, Ji Woong Park, Tianfeng Lu, Ronald K. Hanson, David F. Davidson, Fokion N. Egolfopoulos, Allen Aradi*, Arjun Prakash, Vivek Raja Raj Mohan, Roger Cracknell, Hai Wang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

25 引用 (Scopus)

摘要

The HyChem (hybrid chemistry) approach is utilized for modeling the combustion behaviors of gasoline fuels. The approach combines an experimentally constrained, lumped-step model for fuel pyrolysis under the high-temperature combustion condition and a detailed foundation fuel chemistry model to describe the subsequent oxidation of the pyrolysis products. We present results obtained for two Shell gasoline fuels as examples. The results show that with the parameters in the lumped reactions determined by matching the experiment time history data of key products of gasoline pyrolysis, the HyChem reaction models capture the ignition delay times and laminar flame speeds over a wide range of thermodynamic conditions. The HyChem approach is also extended to model the negative-temperature coefficient (NTC) behaviors for the gasoline fuels. The results show that the NTC-enabled models are capable of capturing the ignition delays under both high-temperature conditions and the conditions under which the NTC behaviors are important. The relationship between fuel composition and combustion properties is analyzed. Finally, the HyChem models are reduced to about 40 species to enable turbulent combustion modeling of gasoline fuels in practical engine simulations.

源语言英语
页(从-至)475-487
页数13
期刊Combustion and Flame
220
DOI
出版状态已出版 - 10月 2020
已对外发布

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