期刊
COMBUSTION AND FLAME
卷 238, 期 -, 页码 -出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.combustflame.2021.111924
关键词
Shock wave; Acetylene; N2O; Atomic resonance absorption spectroscopy (ARAS); Burning velocity
类别
资金
- Knut and Alice Wallenberg Foundation [KAW2019.0084 COCALD]
- joint RFBR-DFG Project [20-58-12003/SCHU-1369/2]
High-temperature oxidation of acetylene was studied using ARAS to analyze oxygen atom concentration profiles and conduct kinetic modeling. The selection of rate constants in the C2H2 sub-mechanism was found to significantly impact model performance, and non-C2H2 related reactions were identified to also influence model predictions.
High-temperature oxidation of acetylene (C2H2) is studied behind reflected shock waves and in laminar flames. Atomic resonance absorption spectroscopy (ARAS) is employed to record oxygen atom concentration profiles for the mixture of 10 ppm C2H2 + 10 ppm N2O + argon and temperatures from 1688 K to 3179 K, extending the range of such data available from the literature. Laminar burning velocity of C2H2 in a diluted oxidizer with 11-13% O-2 in the O-2 + N-2 mixture is measured using the heat flux method and compared to the literature data for the 13% O-2 mixture. An updated detailed kinetic mechanism is presented to model and analyze the results, and the selection of rate constants in the C2H2 sub-mechanism, whose importance was identified by the sensitivity analysis, is discussed. The performance of the new model is compared against several reaction schemes available from the literature, and kinetic differences between them are outlined. The new shock-wave data helped to improve the performance of the present model compared to its previous version. For the laminar flames, a particular importance of reactions involving C2H3 is identified, however, the reasons for the observed differences in model predictions are to a large extent located outside the C2H2 sub-mechanism, which were also identified. (C) 2021 The Author(s). Published by Elsevier Inc. on behalf of The Combustion Institute.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据