Refining Fuel Composition of RP-3 Chemical Surrogate Models by Reactive Molecular Dynamics and Machine Learning-Reference-Cited by-同舟云学术

Refining Fuel Composition of RP-3 Chemical Surrogate Models by Reactive Molecular Dynamics and Machine Learning

Published:2020-08-25 Issue:9 Volume:34 Page:11381-11394
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Han Song¹²³^ORCID,Li Xiaoxia¹²³^ORCID,Guo Li¹²³,Sun Haiyun⁴,Zheng Mo¹²³^ORCID,Ge Wei¹²³^ORCID

Affiliation:

1. State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China

2. Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China

3. University of Chinese Academy of Sciences, Beijing 100049, China

4. Beijing Key Laboratory of Research and Application for Aerospace Green Propellants, Beijing Institute of Aerospace Testing Technology, Beijing 100074, China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Department of S and T for Social Development

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.0c01491

Reference56 articles.

1. The ignition, oxidation, and combustion of kerosene: A review of experimental and kinetic modeling

2. Formulation of an RP-1 pyrolysis surrogate from shock tube measurements of fuel and ethylene time histories

3. On the kinetics of hydrocarbons oxidation from natural gas to kerosene and diesel fuel

4. Density Measurements of Endothermic Hydrocarbon Fuel at Sub- and Supercritical Conditions

5. Modeling of convective heat transfer of RP-3 aviation kerosene in vertical miniature tubes under supercritical pressure

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