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Research Papers: Fuel Combustion

Capturing Pressure Oscillations in Numerical Simulations of Internal Combustion Engines

[+] Author and Article Information
Sreenivasa Rao Gubba

G.E. Global Research Center,
Bangalore 560066, India
e-mail: sreenivasarao.gubba@ge.com

Ravichandra S. Jupudi, Shyam Sundar Pasunurthi

G.E. Global Research Center,
Bangalore 560066, India

Sameera D. Wijeyakulasuriya

Convergent Science, Inc.,
Madison, WI 53719

Roy J. Primus, Adam Klingbeil

G.E. Global Research Center,
Niskayuna, NY 12309-1027

Charles E. A. Finney

Oak Ridge National Laboratory,
Oak Ridge, TN 37923

1Corresponding author.

2Present address: Simerics India, Gamma Block, Sigma Soft Tech Park, Bangalore 560066, India.

Contributed by the Internal Combustion Engine Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received February 27, 2018; final manuscript received March 13, 2018; published online April 9, 2018. Editor: Hameed Metghalchi. The United States Government retains, and by accepting the article for publication, the publisher acknowledges that the United States Government retains, a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for United States government purposes.

J. Energy Resour. Technol 140(8), 082205 (Apr 09, 2018) (7 pages) Paper No: JERT-18-1160; doi: 10.1115/1.4039630 History: Received February 27, 2018; Revised March 13, 2018

In an earlier publication (Jupudi et al., 2016, “Application of High Performance Computing for Simulating Cycle-to-Cycle Variation in Dual-Fuel Combustion Engines,” SAE Paper No. 2016-01-0798), 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. Resolving propagating pressure waves with the smaller time steps and grid sizes necessary to achieve these results required a significant increase in computer resources.

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Figures

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Fig. 1

A cut plane of the computational domain showing the computational grid cells during injection

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Fig. 2

CFD results for dual-fuel combustion using CFL = 50: (a) comparison of CFD bulk gas average pressure to experimental results and (b) comparison of calculated local static pressure at transducer location to experimental results

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Fig. 3

CFD results for dual-fuel combustion using CFL = 3: (a) comparison of CFD bulk gas average pressure to experimental results and (b) comparison of calculated local static pressure at transducer location to experimental results

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Fig. 4

Pressure oscillations from dual-fuel combustion with associated FFT showing magnitudes of individual frequency content derived from experiments and CFD local static pressure predictions at CFL 50 and 3

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Fig. 5

CFD results for diesel combustion using CFL = 3: (a) comparison of CFD bulk gas average pressure to experimental results and (b) comparison of calculated local static pressure at transducer location to experimental results

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Fig. 6

Pressure oscillations with associated FFT showing magnitudes of individual frequency content derived from: (a) experiments and (b) CFD local static pressure predictions

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