Combustion of Synthetic Jet Fuel: Chemical Kinetic Modeling and Uncertainty Analysis

Reaction mechanisms for jet-fuel combustion were built with the aim of providing a better description of the chemistry to reacting flow simulations used to design future aircraft engines. This research effort focused on combustion of Fischer–Tropsch synthetic jet fuel (S-8) in vitiated air at condit...

Full description

Bibliographic Details
Main Authors: Wagner, Andrew L., Yelvington, Paul E., Cai, Jianghuai, Green, William H
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering
Format: Article
Language:en_US
Published: American Institute of Aeronautics and Astronautics (AIAA) 2016
Online Access:http://hdl.handle.net/1721.1/105331
_version_ 1811070765227835392
author Wagner, Andrew L.
Yelvington, Paul E.
Cai, Jianghuai
Green, William H
author2 Massachusetts Institute of Technology. Department of Chemical Engineering
author_facet Massachusetts Institute of Technology. Department of Chemical Engineering
Wagner, Andrew L.
Yelvington, Paul E.
Cai, Jianghuai
Green, William H
author_sort Wagner, Andrew L.
collection MIT
description Reaction mechanisms for jet-fuel combustion were built with the aim of providing a better description of the chemistry to reacting flow simulations used to design future aircraft engines. This research effort focused on combustion of Fischer–Tropsch synthetic jet fuel (S-8) in vitiated air at conditions relevant to jet engines, augmentors, and interturbine burners (T=650–1700  K P=1–20  atm, and Φ=0.5–2 in air). The complex S-8 fuel mixture was approximated with a two-component surrogate mixture of n-decane and iso-octane. A wholly new, elementary-step reaction mechanism for the surrogate consisting of 291 species and 6900 reactions was constructed using automatic mechanism generation software. Statistical analyses were conducted to determine reaction rate-constant sensitivity, model prediction uncertainty, and consistency of the model with published ignition delay time data. As a test application, the S-8 reaction model was used to estimate augmentor static stability using a simple Damköhler number analysis that showed increased stability with temperature from 800 to 1400 K and NO concentration from 0 to 1000 ppm (v/v). The ability to quickly generate accurate mechanisms for simple surrogates allows for new synthetic fuels to be quickly modeled and their behavior predicted for an array of experimental conditions and practical applications.
first_indexed 2024-09-23T08:41:13Z
format Article
id mit-1721.1/105331
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T08:41:13Z
publishDate 2016
publisher American Institute of Aeronautics and Astronautics (AIAA)
record_format dspace
spelling mit-1721.1/1053312022-09-23T13:52:16Z Combustion of Synthetic Jet Fuel: Chemical Kinetic Modeling and Uncertainty Analysis Wagner, Andrew L. Yelvington, Paul E. Cai, Jianghuai Green, William H Massachusetts Institute of Technology. Department of Chemical Engineering Green, William H. Cai, Jianghuai Green, William H Reaction mechanisms for jet-fuel combustion were built with the aim of providing a better description of the chemistry to reacting flow simulations used to design future aircraft engines. This research effort focused on combustion of Fischer–Tropsch synthetic jet fuel (S-8) in vitiated air at conditions relevant to jet engines, augmentors, and interturbine burners (T=650–1700  K P=1–20  atm, and Φ=0.5–2 in air). The complex S-8 fuel mixture was approximated with a two-component surrogate mixture of n-decane and iso-octane. A wholly new, elementary-step reaction mechanism for the surrogate consisting of 291 species and 6900 reactions was constructed using automatic mechanism generation software. Statistical analyses were conducted to determine reaction rate-constant sensitivity, model prediction uncertainty, and consistency of the model with published ignition delay time data. As a test application, the S-8 reaction model was used to estimate augmentor static stability using a simple Damköhler number analysis that showed increased stability with temperature from 800 to 1400 K and NO concentration from 0 to 1000 ppm (v/v). The ability to quickly generate accurate mechanisms for simple surrogates allows for new synthetic fuels to be quickly modeled and their behavior predicted for an array of experimental conditions and practical applications. United States. Air Force (contract number FA8650-13-M-2401) 2016-11-15T19:25:20Z 2016-11-15T19:25:20Z 2016-08 Article http://purl.org/eprint/type/JournalArticle 0748-4658 1533-3876 http://hdl.handle.net/1721.1/105331 Wagner, Andrew L., Paul E. Yelvington, Jianghuai Cai, and William H. Green. “Combustion of Synthetic Jet Fuel: Chemical Kinetic Modeling and Uncertainty Analysis.” Journal of Propulsion and Power (August 26, 2016), pp. 1-10. en_US http://dx.doi.org/10.2514/1.B36217 Journal of Propulsion and Power Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Institute of Aeronautics and Astronautics (AIAA) Prof. William Green
spellingShingle Wagner, Andrew L.
Yelvington, Paul E.
Cai, Jianghuai
Green, William H
Combustion of Synthetic Jet Fuel: Chemical Kinetic Modeling and Uncertainty Analysis
title Combustion of Synthetic Jet Fuel: Chemical Kinetic Modeling and Uncertainty Analysis
title_full Combustion of Synthetic Jet Fuel: Chemical Kinetic Modeling and Uncertainty Analysis
title_fullStr Combustion of Synthetic Jet Fuel: Chemical Kinetic Modeling and Uncertainty Analysis
title_full_unstemmed Combustion of Synthetic Jet Fuel: Chemical Kinetic Modeling and Uncertainty Analysis
title_short Combustion of Synthetic Jet Fuel: Chemical Kinetic Modeling and Uncertainty Analysis
title_sort combustion of synthetic jet fuel chemical kinetic modeling and uncertainty analysis
url http://hdl.handle.net/1721.1/105331
work_keys_str_mv AT wagnerandrewl combustionofsyntheticjetfuelchemicalkineticmodelinganduncertaintyanalysis
AT yelvingtonpaule combustionofsyntheticjetfuelchemicalkineticmodelinganduncertaintyanalysis
AT caijianghuai combustionofsyntheticjetfuelchemicalkineticmodelinganduncertaintyanalysis
AT greenwilliamh combustionofsyntheticjetfuelchemicalkineticmodelinganduncertaintyanalysis