Gasoline compression ignition (GCI) engine technology has shown the potential to achieve high fuel efficiency with low criteria pollutant emissions. In order to guide the design and optimization of GCI combustion, it is essential to develop high-fidelity simulation tools. Building on the previous work in computational fluid dynamic (CFD) simulations of spray combustion, this work focuses on predicting the soot emissions in a constant-volume vessel representative of heavy-duty diesel engine applications for an ultra-low sulfur diesel (ULSD) and a high reactivity (Research Octane Number 60) gasoline, and comparing the soot evolution characteristics of the two fuels. Simulations were conducted using both Reynolds Averaged Navier-Stokes (RANS) and Large Eddy Simulation (LES) turbulence models. Extensive model validations were performed against the experimental soot emissions data for both fuels. It was found that the simulation results using the LES turbulence model agreed better with the measured ignition delays and liftoff lengths than the RANS turbulence model. In addition, two soot models were evaluated in the current study, including an empirical two-step soot formation and oxidation model, and a detailed soot model that involves poly-aromatic hydrocarbon (PAH) chemistry. Validations showed that the separation of the flame lift-off location and the soot lift-off location and the relative natural luminosity signals were better predicted by the detailed soot model combined with the LES turbulence model. Qualitative comparisons of simulated local soot concentration distributions against experimental measurements in the literature confirmed the model’s performance. CFD simulations showed that the transition of domination from soot formation to soot oxidation was fuel-dependent, and the two fuels exhibited different temporal and spatial characteristics of soot emissions. CFD simulations also confirmed the lower sooting propensity of gasoline compared to ULSD under all investigated conditions.
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ASME 2018 Internal Combustion Engine Division Fall Technical Conference
November 4–7, 2018
San Diego, California, USA
Conference Sponsors:
- Internal Combustion Engine Division
ISBN:
978-0-7918-5199-9
PROCEEDINGS PAPER
Numerical Investigation of Fuel Effects on Soot Emissions at Heavy-Duty Diesel Engine Conditions
Meng Tang,
Meng Tang
Michigan Technological University, Houghton, MI
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Yuanjiang Pei,
Yuanjiang Pei
Aramco Research Center - Detroit, Novi, MI
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Yu Zhang,
Yu Zhang
Aramco Research Center - Detroit, Novi, MI
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Michael Traver,
Michael Traver
Aramco Research Center - Detroit, Novi, MI
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David Cleary,
David Cleary
Aramco Research Center - Detroit, Novi, MI
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Jeffrey Naber,
Jeffrey Naber
Michigan Technological University, Houghton, MI
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Seong-Young Lee
Seong-Young Lee
Michigan Technological University, Houghton, MI
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Meng Tang
Michigan Technological University, Houghton, MI
Yuanjiang Pei
Aramco Research Center - Detroit, Novi, MI
Yu Zhang
Aramco Research Center - Detroit, Novi, MI
Michael Traver
Aramco Research Center - Detroit, Novi, MI
David Cleary
Aramco Research Center - Detroit, Novi, MI
Zhaoyu Luo
Convergent Science, Madison, WI
Jeffrey Naber
Michigan Technological University, Houghton, MI
Seong-Young Lee
Michigan Technological University, Houghton, MI
Paper No:
ICEF2018-9696, V002T06A019; 16 pages
Published Online:
January 3, 2019
Citation
Tang, M, Pei, Y, Zhang, Y, Traver, M, Cleary, D, Luo, Z, Naber, J, & Lee, S. "Numerical Investigation of Fuel Effects on Soot Emissions at Heavy-Duty Diesel Engine Conditions." Proceedings of the ASME 2018 Internal Combustion Engine Division Fall Technical Conference. Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development. San Diego, California, USA. November 4–7, 2018. V002T06A019. ASME. https://doi.org/10.1115/ICEF2018-9696
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