Capturing Pressure Oscillations in Numerical Simulations of Internal Combustion Engines
Abstract
In an earlier publication, the authors compared numerical predictions of the mean cylinder pressure of diesel and dual-fuel combustion, to that of measured pressure data from a medium-speed, large-bore engine. In these earlier comparisons, measured data from a flush-mounted in-cylinder pressure transducer showed notable and repeatable pressure oscillations which were not evident in the mean cylinder pressure predictions from computational fluid dynamics (CFD). In this paper, the authors present a methodology for predicting and reporting the local cylinder pressure consistent with that of a measurement location. Such predictions for large-bore, medium-speed engine operation demonstrate pressure oscillations in accordance with those measured. The temporal occurrences of notable pressure oscillations were during the start of combustion and around the time of maximum cylinder pressure. With appropriate resolutions in time steps and mesh sizes, the local cell static pressure predicted for the transducer location showed oscillations in both diesel and dual-fuel combustion modes which agreed with those observed in the experimental data. Fast Fourier transform (FFT) analysis on both experimental and calculated pressure traces revealed that the CFD predictions successfully captured both the amplitude and frequency range of the oscillations. Furthermore, resolving propagating pressure waves with the smaller time steps and grid sizesmore »
- Authors:
-
[5]
- G.E. Global Research Center, Bangalore (India)
- G.E. Global Research Center, Bangalore (India); Simerics India, Bangalore (India)
- Convergent Science, Inc., Madison, WI (United States)
- G.E. Global Research Center, Niskayuna, NY (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1439148
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Energy Resources Technology
- Additional Journal Information:
- Journal Volume: 140; Journal Issue: 8; Journal ID: ISSN 0195-0738
- Publisher:
- ASME
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 33 ADVANCED PROPULSION SYSTEMS; Oscillations; Pressure; Combustion; Fuels; Engines; Pressure transducers; Computational fluid dynamics; Diesel; Cylinders; Computer simulation
Citation Formats
Gubba, Sreenivasa Rao, Jupudi, Ravichandra S., Pasunurthi, Shyam Sundar, Wijeyakulasuriya, Sameera D., Primus, Roy J., Klingbeil, Adam E., and Finney, Charles E. A. Capturing Pressure Oscillations in Numerical Simulations of Internal Combustion Engines. United States: N. p., 2018.
Web. doi:10.1115/1.4039630.
Gubba, Sreenivasa Rao, Jupudi, Ravichandra S., Pasunurthi, Shyam Sundar, Wijeyakulasuriya, Sameera D., Primus, Roy J., Klingbeil, Adam E., & Finney, Charles E. A. Capturing Pressure Oscillations in Numerical Simulations of Internal Combustion Engines. United States. https://doi.org/10.1115/1.4039630
Gubba, Sreenivasa Rao, Jupudi, Ravichandra S., Pasunurthi, Shyam Sundar, Wijeyakulasuriya, Sameera D., Primus, Roy J., Klingbeil, Adam E., and Finney, Charles E. A. Mon .
"Capturing Pressure Oscillations in Numerical Simulations of Internal Combustion Engines". United States. https://doi.org/10.1115/1.4039630. https://www.osti.gov/servlets/purl/1439148.
@article{osti_1439148,
title = {Capturing Pressure Oscillations in Numerical Simulations of Internal Combustion Engines},
author = {Gubba, Sreenivasa Rao and Jupudi, Ravichandra S. and Pasunurthi, Shyam Sundar and Wijeyakulasuriya, Sameera D. and Primus, Roy J. and Klingbeil, Adam E. and Finney, Charles E. A.},
abstractNote = {In an earlier publication, the authors compared numerical predictions of the mean cylinder pressure of diesel and dual-fuel combustion, to that of measured pressure data from a medium-speed, large-bore engine. In these earlier comparisons, measured data from a flush-mounted in-cylinder pressure transducer showed notable and repeatable pressure oscillations which were not evident in the mean cylinder pressure predictions from computational fluid dynamics (CFD). In this paper, the authors present a methodology for predicting and reporting the local cylinder pressure consistent with that of a measurement location. Such predictions for large-bore, medium-speed engine operation demonstrate pressure oscillations in accordance with those measured. The temporal occurrences of notable pressure oscillations were during the start of combustion and around the time of maximum cylinder pressure. With appropriate resolutions in time steps and mesh sizes, the local cell static pressure predicted for the transducer location showed oscillations in both diesel and dual-fuel combustion modes which agreed with those observed in the experimental data. Fast Fourier transform (FFT) analysis on both experimental and calculated pressure traces revealed that the CFD predictions successfully captured both the amplitude and frequency range of the oscillations. Furthermore, resolving propagating pressure waves with the smaller time steps and grid sizes necessary to achieve these results required a significant increase in computer resources.},
doi = {10.1115/1.4039630},
journal = {Journal of Energy Resources Technology},
number = 8,
volume = 140,
place = {United States},
year = {Mon Apr 09 00:00:00 EDT 2018},
month = {Mon Apr 09 00:00:00 EDT 2018}
}
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Works referencing / citing this record:
Prediction of Cyclic Variability and Knock-Limited Spark Advance in a Spark-Ignition Engine
journal, April 2019
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- Journal of Energy Resources Technology, Vol. 141, Issue 10
Comparison of Near-Wall Flow and Heat Transfer of an Internal Combustion Engine Using Particle Image Velocimetry and Computational Fluid Dynamics
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A novel air management system for a large bore two-stroke naturally aspirated gas engine to reduce emissions
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Comparison of Near-Wall Flow and Heat Transfer of an Internal Combustion Engine Using Particle Image Velocimetry and Computational Fluid Dynamics
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