An efficient surrogate fuel formulation methodology, which directly uses the chemical structure information from nuclear magnetic resonance (NMR) spectroscopy analysis, has been proposed. Five functional groups, paraffinic CH2, paraffinic CH3, aromatic C-CH, olefinic CH-CH2, and cycloparaffin CH2, have been selected to show the basic molecular structure of the fuels for the advanced combustion engines (FACE) fuels. A palette that contains six candidate components, n-heptane, iso-octane, toluene, 2,5-dimethylhexane, methylcyclohexane, and 1-hexene, is chosen for different FACE fuels, based on the consideration that surrogate mixtures should provide the representative functional groups and comparable molecular sizes. The kinetic mechanisms of these six candidate components are chosen to assemble a detailed mechanism of each surrogate fuel for FACE gasoline. Whereafter, the accuracy of FACE A and F surrogate models was demonstrated by comparing the model predictions against experimental data in homogeneous ignition, jet stirred reactor oxidation, and premixed flame.
Skip Nav Destination
Article navigation
April 2019
Research-Article
Surrogate Fuels Formulation for FACE Gasoline Using the Nuclear Magnetic Resonance Spectroscopy
Jin Yu,
Jin Yu
School of Power Engineering,
Chongqing University,
Chongqing 400044, China
Chongqing University,
Chongqing 400044, China
Search for other works by this author on:
Xiaolong Gou
Xiaolong Gou
Search for other works by this author on:
Jin Yu
School of Power Engineering,
Chongqing University,
Chongqing 400044, China
Chongqing University,
Chongqing 400044, China
Xiaolong Gou
1Corresponding author.
Manuscript received August 7, 2017; final manuscript received July 5, 2018; published online December 4, 2018. Assoc. Editor: Eric Petersen.
J. Eng. Gas Turbines Power. Apr 2019, 141(4): 041019 (8 pages)
Published Online: December 4, 2018
Article history
Received:
August 7, 2017
Revised:
July 5, 2018
Citation
Yu, J., and Gou, X. (December 4, 2018). "Surrogate Fuels Formulation for FACE Gasoline Using the Nuclear Magnetic Resonance Spectroscopy." ASME. J. Eng. Gas Turbines Power. April 2019; 141(4): 041019. https://doi.org/10.1115/1.4040808
Download citation file:
Get Email Alerts
Cited By
Temperature Dependence of Aerated Turbine Lubricating Oil Degradation from a Lab-Scale Test Rig
J. Eng. Gas Turbines Power
Multi-Disciplinary Surrogate-Based Optimization of a Compressor Rotor Blade Considering Ice Impact
J. Eng. Gas Turbines Power
Experimental Investigations on Carbon Segmented Seals With Smooth and Pocketed Pads
J. Eng. Gas Turbines Power
Related Articles
The Examination of Liquid, Solid, and Gas Products Obtained by the Pyrolysis of the Three Different Peat and Reed Samples
J. Energy Resour. Technol (June,2008)
A Model of Fatigue and Recovery in Paraplegic’s Quadriceps Muscle Subjected to Intermittent FES
J Biomech Eng (August,1996)
Characteristics and Kinetic Analysis of Ignition for Different Gasoline Surrogate Fuel Models
J. Energy Resour. Technol (August,2020)
Experimental Study of the Impact of Ethanol Content on Partially Premixed Combustion With Ethanol-Gasoline Blends
J. Eng. Gas Turbines Power (September,2024)
Related Proceedings Papers
Related Chapters
In-Nozzle Cavitation-Induced Orifice-to-Orifice Variations Using Real Injector Geometry and Gasoline-Like Fuels
Proceedings of the 10th International Symposium on Cavitation (CAV2018)
Front Matter
Methodology Used to Update the Gasoline Volatility Schedule for U.S. Seasonal and Geographic Classes
Investigations into Gasoline/Alcohol Blends for Use in General Aviation Aircraft
Future Fuels for General Aviation