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Comprehensive Comparison of the Combustion Behavior for Low-Temperature Combustion of n-Nonane

[Image: see text] To meet the increasing need for clean combustion, improve the combustion efficiency of fuels, and reduce the pollutants produced in the combustion process, it is necessary to systematically study the combustion of hydrocarbon fuels. An accurate and detailed chemical kinetic model i...

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Autores principales: Guo, Junjiang, Peng, Weijun, Zhang, Shijie, Lei, Jiazhi, Jing, Jiantong, Xiao, Ruyi, Tang, Shiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081281/
https://www.ncbi.nlm.nih.gov/pubmed/32201778
http://dx.doi.org/10.1021/acsomega.9b03786
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author Guo, Junjiang
Peng, Weijun
Zhang, Shijie
Lei, Jiazhi
Jing, Jiantong
Xiao, Ruyi
Tang, Shiyun
author_facet Guo, Junjiang
Peng, Weijun
Zhang, Shijie
Lei, Jiazhi
Jing, Jiantong
Xiao, Ruyi
Tang, Shiyun
author_sort Guo, Junjiang
collection PubMed
description [Image: see text] To meet the increasing need for clean combustion, improve the combustion efficiency of fuels, and reduce the pollutants produced in the combustion process, it is necessary to systematically study the combustion of hydrocarbon fuels. An accurate and detailed chemical kinetic model is an important prerequisite for understanding the combustion performance of hydrocarbon fuels and studying complex chemical reaction networks. Therefore, based on ReaxGen, new detailed mechanisms for the low-temperature combustion of n-nonane are proposed and verified in detail in this study. Meanwhile, some international mainstream combustion models such as the LLNL model and the JetSurf 2.0 model are compared with ours, showing that the proposed new mechanisms can better predict the ignition delay combustion characteristics of n-nonane, and they also hold in a wide range of conditions. In addition, the numerical simulation results of the concentration curve calculated for the new mechanisms, especially Model v2, are in good agreement with the experimental data, and the mechanisms can reproduce the performance of the negative-temperature-coefficient behavior toward n-nonane ignition. The numerical simulation results of the laminar flame propagation velocity varying with the equivalence ratio are also in good agreement with the available experimental data. Finally, the ignition delay sensitivity of n-nonane is analyzed by the sensitivity analysis method; the key reactions affecting the ignition mechanism are investigated; and the reaction path analysis is conducted to better understand the models’ predicted performance. In a word, the new mechanisms are helpful to understand the ignition properties of large hydrocarbon fuels for high-speed aircrafts.
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spelling pubmed-70812812020-03-20 Comprehensive Comparison of the Combustion Behavior for Low-Temperature Combustion of n-Nonane Guo, Junjiang Peng, Weijun Zhang, Shijie Lei, Jiazhi Jing, Jiantong Xiao, Ruyi Tang, Shiyun ACS Omega [Image: see text] To meet the increasing need for clean combustion, improve the combustion efficiency of fuels, and reduce the pollutants produced in the combustion process, it is necessary to systematically study the combustion of hydrocarbon fuels. An accurate and detailed chemical kinetic model is an important prerequisite for understanding the combustion performance of hydrocarbon fuels and studying complex chemical reaction networks. Therefore, based on ReaxGen, new detailed mechanisms for the low-temperature combustion of n-nonane are proposed and verified in detail in this study. Meanwhile, some international mainstream combustion models such as the LLNL model and the JetSurf 2.0 model are compared with ours, showing that the proposed new mechanisms can better predict the ignition delay combustion characteristics of n-nonane, and they also hold in a wide range of conditions. In addition, the numerical simulation results of the concentration curve calculated for the new mechanisms, especially Model v2, are in good agreement with the experimental data, and the mechanisms can reproduce the performance of the negative-temperature-coefficient behavior toward n-nonane ignition. The numerical simulation results of the laminar flame propagation velocity varying with the equivalence ratio are also in good agreement with the available experimental data. Finally, the ignition delay sensitivity of n-nonane is analyzed by the sensitivity analysis method; the key reactions affecting the ignition mechanism are investigated; and the reaction path analysis is conducted to better understand the models’ predicted performance. In a word, the new mechanisms are helpful to understand the ignition properties of large hydrocarbon fuels for high-speed aircrafts. American Chemical Society 2020-03-05 /pmc/articles/PMC7081281/ /pubmed/32201778 http://dx.doi.org/10.1021/acsomega.9b03786 Text en Copyright © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Guo, Junjiang
Peng, Weijun
Zhang, Shijie
Lei, Jiazhi
Jing, Jiantong
Xiao, Ruyi
Tang, Shiyun
Comprehensive Comparison of the Combustion Behavior for Low-Temperature Combustion of n-Nonane
title Comprehensive Comparison of the Combustion Behavior for Low-Temperature Combustion of n-Nonane
title_full Comprehensive Comparison of the Combustion Behavior for Low-Temperature Combustion of n-Nonane
title_fullStr Comprehensive Comparison of the Combustion Behavior for Low-Temperature Combustion of n-Nonane
title_full_unstemmed Comprehensive Comparison of the Combustion Behavior for Low-Temperature Combustion of n-Nonane
title_short Comprehensive Comparison of the Combustion Behavior for Low-Temperature Combustion of n-Nonane
title_sort comprehensive comparison of the combustion behavior for low-temperature combustion of n-nonane
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081281/
https://www.ncbi.nlm.nih.gov/pubmed/32201778
http://dx.doi.org/10.1021/acsomega.9b03786
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